Pub Date : 2021-06-30DOI: 10.7546/ijba.2021.25.2.000721
F. A. Al-Saffar, M. Al-Khayyat
Nitrogen fixation is carried by an enzyme complex called nitrogenase which consists of two main components, a dinitrogenase that is encoded by nifD and nifK and an iron containing reductase, also called Fe protein which is encoded by nifH. Nitrogen-free medium was used to detect the ability of nitrogen fixation by Klebsiella pneumonia, then DNA was extracted and overlap extension polymerase chain reaction of nifH, nifD and nifK. To obtain nucleotide sequences of these genes, sequencing of the PCR products was one. The reverse sequence of nifH and the forward sequences of nifD and nifK were converted into amino acids using online translation tool. Homology modeling was carried out using SWISS-MODEL. The modeled amino acids sequences was validated using ERRAT and PROCHECK. The modeled sequences were reliable and of quality higher than 90%. The two subunits of Fe protein were constructed and tertiary structure was predicted together with the binding sites for prosthetic group and ADP molecule in Fe protein. The following amino acids Asp11, Lys13, Asn157, Ser158, Val183, Pro184, Arg185, Asp186, Val189, Gln190 and Glu193 seem to participate in the ADP binding. The complexity of this enzyme makes it difficult to be cloned in plants.
{"title":"Molecular and Biochemical Characterization of nifHDK Genes in Klebsiella pneumoniae","authors":"F. A. Al-Saffar, M. Al-Khayyat","doi":"10.7546/ijba.2021.25.2.000721","DOIUrl":"https://doi.org/10.7546/ijba.2021.25.2.000721","url":null,"abstract":"Nitrogen fixation is carried by an enzyme complex called nitrogenase which consists of two main components, a dinitrogenase that is encoded by nifD and nifK and an iron containing reductase, also called Fe protein which is encoded by nifH. Nitrogen-free medium was used to detect the ability of nitrogen fixation by Klebsiella pneumonia, then DNA was extracted and overlap extension polymerase chain reaction of nifH, nifD and nifK. To obtain nucleotide sequences of these genes, sequencing of the PCR products was one. The reverse sequence of nifH and the forward sequences of nifD and nifK were converted into amino acids using online translation tool. Homology modeling was carried out using SWISS-MODEL. The modeled amino acids sequences was validated using ERRAT and PROCHECK. The modeled sequences were reliable and of quality higher than 90%. The two subunits of Fe protein were constructed and tertiary structure was predicted together with the binding sites for prosthetic group and ADP molecule in Fe protein. The following amino acids Asp11, Lys13, Asn157, Ser158, Val183, Pro184, Arg185, Asp186, Val189, Gln190 and Glu193 seem to participate in the ADP binding. The complexity of this enzyme makes it difficult to be cloned in plants.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48659012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.7546/ijba.2021.25.2.000823
T. Venelinov, Galina Yotova, Veronika Mihaylova, S. Lazarova, S. Tsakovski
Data analysis of wastewater samples at the outlets of wastewater treatment plants (WWTPs) of Pazardzhik, Plovdiv and Svilengrad, which discharge into the Maritsa River is presented. Total monthly loads for 2017 at the outlets are calculated using the monthly averages for the concentrations of chemical oxygen demand, biochemical oxygen demand, total phosphorus and total nitrogen (TN) and the monthly averages for the flow rates. The contributions of the WWTPs to the total river loads emphasize that the impact of WWTPs of Pazardzhik and Plovdiv is significantly greater than WWTP of Svilengrad. Additionally, river water samples were collected before and after the discharge points of the WWTPs in August 2018 and analyzed for water quality parameters listed in Directive 75/440/EEC. Comparison between the river concentrations before the outlet of WWPT - Pazardzhik and after the last sampling point (the outlet of WWTP - Svilengrad) indicates an increase for all the studied parameters, except for Al and Cu. Based on the results obtained for TN, the category of the surface water is significantly deteriorated after discharge of the WWTP - Plovdiv. Wastewater effect on the river surface water is also estimated by using a battery of ecotoxicological tests. The results are presented and compared by the classical approach using categorization based on water quality indicators.
{"title":"Impact Assessment of the Wastewater Treatment Plants’ Discharges on Maritsa River","authors":"T. Venelinov, Galina Yotova, Veronika Mihaylova, S. Lazarova, S. Tsakovski","doi":"10.7546/ijba.2021.25.2.000823","DOIUrl":"https://doi.org/10.7546/ijba.2021.25.2.000823","url":null,"abstract":"Data analysis of wastewater samples at the outlets of wastewater treatment plants (WWTPs) of Pazardzhik, Plovdiv and Svilengrad, which discharge into the Maritsa River is presented. Total monthly loads for 2017 at the outlets are calculated using the monthly averages for the concentrations of chemical oxygen demand, biochemical oxygen demand, total phosphorus and total nitrogen (TN) and the monthly averages for the flow rates. The contributions of the WWTPs to the total river loads emphasize that the impact of WWTPs of Pazardzhik and Plovdiv is significantly greater than WWTP of Svilengrad. Additionally, river water samples were collected before and after the discharge points of the WWTPs in August 2018 and analyzed for water quality parameters listed in Directive 75/440/EEC. Comparison between the river concentrations before the outlet of WWPT - Pazardzhik and after the last sampling point (the outlet of WWTP - Svilengrad) indicates an increase for all the studied parameters, except for Al and Cu. Based on the results obtained for TN, the category of the surface water is significantly deteriorated after discharge of the WWTP - Plovdiv. Wastewater effect on the river surface water is also estimated by using a battery of ecotoxicological tests. The results are presented and compared by the classical approach using categorization based on water quality indicators.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43599621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-06-30DOI: 10.7546/ijba.2021.25.2.000783
K. Rehman, Xianglin Zhu, Bo Wang, Muhammad Shahzad, H. Ahmad, Muhammad Abubakar, M. Ajmal
It is difficult to measure the key biological process variables of photosynthetic bacteria fermentation in real-time, and offline measurement has a large time lag and cannot meet the needs of real-time optimization control. In this paper, a soft sensor model based on least square support vector machine with an improved bat algorithm (IBA-LSSVM) was proposed. The velocity equation of the bat algorithm (BA) was improved and the random variation operation in differential evolution algorithm was introduced into BA algorithm. Thus, the diversity of the population can be increased, and the global and local searching ability of the BA algorithm can be enhanced. Furthermore, the IBA-LSSVM soft sensor model was established for the living cell concentration and compared with BA-LSSVM soft sensor model. Finally, the simulation results show that the improved model was the better learning ability and prediction performance than BA-LSSVM, the measurement error is 0.1358. The improved model could provide accurate guidance for the photosynthetic bacteria fermentation control optimization. This model has certain practical value.
{"title":"Soft Sensor Model Based on IBA-LSSVM for Photosynthetic Bacteria Fermentation Process","authors":"K. Rehman, Xianglin Zhu, Bo Wang, Muhammad Shahzad, H. Ahmad, Muhammad Abubakar, M. Ajmal","doi":"10.7546/ijba.2021.25.2.000783","DOIUrl":"https://doi.org/10.7546/ijba.2021.25.2.000783","url":null,"abstract":"It is difficult to measure the key biological process variables of photosynthetic bacteria fermentation in real-time, and offline measurement has a large time lag and cannot meet the needs of real-time optimization control. In this paper, a soft sensor model based on least square support vector machine with an improved bat algorithm (IBA-LSSVM) was proposed. The velocity equation of the bat algorithm (BA) was improved and the random variation operation in differential evolution algorithm was introduced into BA algorithm. Thus, the diversity of the population can be increased, and the global and local searching ability of the BA algorithm can be enhanced. Furthermore, the IBA-LSSVM soft sensor model was established for the living cell concentration and compared with BA-LSSVM soft sensor model. Finally, the simulation results show that the improved model was the better learning ability and prediction performance than BA-LSSVM, the measurement error is 0.1358. The improved model could provide accurate guidance for the photosynthetic bacteria fermentation control optimization. This model has certain practical value.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":"210 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41280620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-14DOI: 10.7546/ijba.2022.26.3.000832
M. Aziz, Radostin D Simitev
Contemporary realistic mathematical models of single-cell cardiac electrical excitation are immensely detailed. Model complexity leads to parameter uncertainty, high computational cost and barriers to mechanistic understanding. There is a need for reduced models that are conceptually and mathematically simple but physiologically accurate. To this end, we consider an archetypal model of single-cell cardiac excitation that replicates the phase-space geometry of detailed cardiac models, but at the same time has a simple piecewise-linear form and a relatively low-dimensional configuration space. In order to make this archetypal model practically applicable, we develop and report a robust method for estimation of its parameter values from the morphology of single-stimulus action potentials derived from detailed ionic current models and from experimental myocyte measurements. The procedure is applied to five significant test cases and an excellent agreement with target biomarkers is achieved. Action potential duration restitution curves are also computed and compared to those of the target test models and data, demonstrating conservation of dynamical pacing behaviour by the fine-tuned archetypal model. An archetypal model that accurately reproduces a variety of wet-lab and synthetic electrophysiology data offers a number of specific advantages such as computational efficiency, as also demonstrated in the study. Open-source numerical code of the models and methods used is provided.
{"title":"Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials","authors":"M. Aziz, Radostin D Simitev","doi":"10.7546/ijba.2022.26.3.000832","DOIUrl":"https://doi.org/10.7546/ijba.2022.26.3.000832","url":null,"abstract":"Contemporary realistic mathematical models of single-cell cardiac electrical excitation are immensely detailed. Model complexity leads to parameter uncertainty, high computational cost and barriers to mechanistic understanding. There is a need for reduced models that are conceptually and mathematically simple but physiologically accurate. To this end, we consider an archetypal model of single-cell cardiac excitation that replicates the phase-space geometry of detailed cardiac models, but at the same time has a simple piecewise-linear form and a relatively low-dimensional configuration space. In order to make this archetypal model practically applicable, we develop and report a robust method for estimation of its parameter values from the morphology of single-stimulus action potentials derived from detailed ionic current models and from experimental myocyte measurements. The procedure is applied to five significant test cases and an excellent agreement with target biomarkers is achieved. Action potential duration restitution curves are also computed and compared to those of the target test models and data, demonstrating conservation of dynamical pacing behaviour by the fine-tuned archetypal model. An archetypal model that accurately reproduces a variety of wet-lab and synthetic electrophysiology data offers a number of specific advantages such as computational efficiency, as also demonstrated in the study. Open-source numerical code of the models and methods used is provided.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48928421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.7546/ijba.2020.24.4.000754
L. Todorova, V. Ignatova, J. Surchev
Cognitive dysfunction is a leading cause of disability in multiple sclerosis (MS) and is associated with unemployment, need of assistance with daily activities and poor quality of life. The introduction of neuropsychological testing and monitoring of cognitive status as part of the overall evaluation of MS patients in parallel with clinical and paraclinical parameters is highly recommended. Recent studies have demonstrated a better perception and preference for computerized cognitive tests than classic variants, with no significant difference in results. In accordance with global trends, a bilingual computer system CogniSoft for assessment and rehabilitation of cognitive status in persons with MS has been developed, including: 1) a set of diagnostic tests for evaluation of memory and executive functions based on the nature of Brief International Cognitive Assessment for MS (BICAMS); 2) a set of games for cognitive rehabilitation. Questionnaire for depression (Beck Depression Inventory – BDI-II) will be filled before conduction of the neuropsychological tests for differentiation of possible depression which could interfere with the results. The CogniSoft information system will incorporate two approaches for evaluation of neuropsychological results which will allow early detection of cognitive impairments in these patients, which will initiate timely cognitive rehabilitation.
{"title":"Computerized Neuropsychological Test Battery CogniSoft for Assessment of Cognition in Patients with Multiple Sclerosis","authors":"L. Todorova, V. Ignatova, J. Surchev","doi":"10.7546/ijba.2020.24.4.000754","DOIUrl":"https://doi.org/10.7546/ijba.2020.24.4.000754","url":null,"abstract":"Cognitive dysfunction is a leading cause of disability in multiple sclerosis (MS) and is associated with unemployment, need of assistance with daily activities and poor quality of life. The introduction of neuropsychological testing and monitoring of cognitive status as part of the overall evaluation of MS patients in parallel with clinical and paraclinical parameters is highly recommended. Recent studies have demonstrated a better perception and preference for computerized cognitive tests than classic variants, with no significant difference in results. In accordance with global trends, a bilingual computer system CogniSoft for assessment and rehabilitation of cognitive status in persons with MS has been developed, including: 1) a set of diagnostic tests for evaluation of memory and executive functions based on the nature of Brief International Cognitive Assessment for MS (BICAMS); 2) a set of games for cognitive rehabilitation. Questionnaire for depression (Beck Depression Inventory – BDI-II) will be filled before conduction of the neuropsychological tests for differentiation of possible depression which could interfere with the results. The CogniSoft information system will incorporate two approaches for evaluation of neuropsychological results which will allow early detection of cognitive impairments in these patients, which will initiate timely cognitive rehabilitation.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48057977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.7546/ijba.2020.24.4.000723
V. Ivanova, D. Batchvarov, A. Boneva
The main target of everyone engineering work associated with minimally-invasive surgery is to provide adequate tool-tissue force information to the surgeons so that they can regain the sense of touch that has been lost through laparoscopic surgery. In this context the main objective of the work design novel family laparoscopic tools with better technical characteristics, and incorporation of force and other sensors and elements in construction of tools for restore sense of touch in the process of laparoscopy. Thus it is improving some technical side of this laparoscopic instruments. In contrast to daVinchi robots by Intuitive Surgical Incorporation which instruments are designed for manipulation and imaging we offer family tools with additional functions such as diagnosis and therapeutics tasks. Therefore we decide two main problems: i) we designed and produced an original construction of an adequate experimental module for robots, where was incorporated two force sensors to provide tool-tissue information (some of which was described and discussed at previous works); and ii) we realized hardware and program resources for control and monitoring of this module which is the object of this work. The computer program includes information about various measurements of the tip tool – surface contact interactions and data obtained from the experimental module that is used to find the difference between date from previous measuring and received information in real time. Another signification advantage of the proposed program solution is the graphical visualization of the measuring and comparing the results. Therefore, the surgeon can give the adequate command to force interaction between the instrument and tissue. For verification of the functionality and working capacity of the experimental module with force feedback capabilities for robots were conducted different experiments with the designed control system.
{"title":"A Smart Laparoscopic Instrument with Different Applications","authors":"V. Ivanova, D. Batchvarov, A. Boneva","doi":"10.7546/ijba.2020.24.4.000723","DOIUrl":"https://doi.org/10.7546/ijba.2020.24.4.000723","url":null,"abstract":"The main target of everyone engineering work associated with minimally-invasive surgery is to provide adequate tool-tissue force information to the surgeons so that they can regain the sense of touch that has been lost through laparoscopic surgery. In this context the main objective of the work design novel family laparoscopic tools with better technical characteristics, and incorporation of force and other sensors and elements in construction of tools for restore sense of touch in the process of laparoscopy. Thus it is improving some technical side of this laparoscopic instruments. In contrast to daVinchi robots by Intuitive Surgical Incorporation which instruments are designed for manipulation and imaging we offer family tools with additional functions such as diagnosis and therapeutics tasks. Therefore we decide two main problems: i) we designed and produced an original construction of an adequate experimental module for robots, where was incorporated two force sensors to provide tool-tissue information (some of which was described and discussed at previous works); and ii) we realized hardware and program resources for control and monitoring of this module which is the object of this work. The computer program includes information about various measurements of the tip tool – surface contact interactions and data obtained from the experimental module that is used to find the difference between date from previous measuring and received information in real time. Another signification advantage of the proposed program solution is the graphical visualization of the measuring and comparing the results. Therefore, the surgeon can give the adequate command to force interaction between the instrument and tissue. For verification of the functionality and working capacity of the experimental module with force feedback capabilities for robots were conducted different experiments with the designed control system.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46156392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-11DOI: 10.21203/rs.3.rs-33410/v1
I. Dotsinsky, T. Stoyanov, G. Mihov
The acquired ECG signals are often contaminated by residual Power-line Interference (PLI). A lot of methods, algorithms and techniques for PLI reduction have been published over the last few decades. The so called subtraction procedure is known to eliminate almost totally the interference without affecting the signal spectrum. The goal of our research was to develop a heuristic version of the procedure intended for ECG signals with high Sampling Rate (SR) up to 128 kHz. The PLI is extracted from the corrupted signal by technique similar to second order band-pass filter but with practically zero phase error. The sample number as well as the left and right parts outside the samples belonging to a current sine wave, which is extracted from the contaminated signal, are counted and measured. They are used to compensate the error arising with the shift between the moving averaged free of PLI signal samples and their real position along the linear segments (usually PQ and TP intervals having frequency band near to zero). The here calculated PLI components are appropriately interpolated to ‘clean’ the dynamically changed in amplitude and position contaminated samples within the non-linear segments (QRS complexes and high T waves). The reported version of the subtraction procedure is tested with 5 and 128 kHz sampled ECG signals. The maximum absolute error is about 20 μV except for the ends of the recordings. Finally, an approach to PLI elimination from paced ECG signals is proposed. It includes pace pulse extraction, signal re-sampling down to 4 kHz and subtraction procedure implementation followed by adding back the removed pace pulses.
{"title":"Power-line Interference Removal from High Sampled ECG Signals Using Modified Version of the Subtraction Procedure","authors":"I. Dotsinsky, T. Stoyanov, G. Mihov","doi":"10.21203/rs.3.rs-33410/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-33410/v1","url":null,"abstract":"The acquired ECG signals are often contaminated by residual Power-line Interference (PLI). A lot of methods, algorithms and techniques for PLI reduction have been published over the last few decades. The so called subtraction procedure is known to eliminate almost totally the interference without affecting the signal spectrum. The goal of our research was to develop a heuristic version of the procedure intended for ECG signals with high Sampling Rate (SR) up to 128 kHz. The PLI is extracted from the corrupted signal by technique similar to second order band-pass filter but with practically zero phase error. The sample number as well as the left and right parts outside the samples belonging to a current sine wave, which is extracted from the contaminated signal, are counted and measured. They are used to compensate the error arising with the shift between the moving averaged free of PLI signal samples and their real position along the linear segments (usually PQ and TP intervals having frequency band near to zero). The here calculated PLI components are appropriately interpolated to ‘clean’ the dynamically changed in amplitude and position contaminated samples within the non-linear segments (QRS complexes and high T waves). The reported version of the subtraction procedure is tested with 5 and 128 kHz sampled ECG signals. The maximum absolute error is about 20 μV except for the ends of the recordings. Finally, an approach to PLI elimination from paced ECG signals is proposed. It includes pace pulse extraction, signal re-sampling down to 4 kHz and subtraction procedure implementation followed by adding back the removed pace pulses.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48288135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.7546/ijba.2020.24.2.000615
Sana Bzioui, R. Channa
Abstract: A non-isothermal continuous stirred tank reactor (CSTR) is the most important element of chemical industrial equipment which is characterized by a highly nonlinear behavior. It is a multi-input multi-output (MIMO) nonlinear systems exposed to disturbances. The operation of the non-isothermal CSTR can be disturbed by its uncertain parameter such as variation in heat reaction. Therefore, the two difficult problems in CSTR control are tracking trajectory and disturbance attenuation. In this paper, a robust H∞ fuzzy tracking control via Takagi-Sugeno (T-S) model is designed to robustly stabilize the non-isothermal CSTR system for both concentration and temperature affected by disturbances. T-S fuzzy model approach is proposed to derive the nonlinear model of the CSTR to several local linear models. A parallel distributed compensation control law is used to stabilize the closed-loop system. Linear matrix inequality conditions are derived for analyzing regional robust stability and performance based on Lyapunov function, and an H∞ criterion is employed to guarantee the attenuation of disturbances. In trajectory tracking framework, an integral action is introduced as a new state variable. Finally, a comparative study between H∞ controller and linear quadratic regulator (LQR) controller is made. Simulation results show that the proposed H∞ controller ensures an asymptotic stability and guarantees highly robustness against changes in reaction heat with a good trajectory tracking. The H∞ controller gives better performance than the classical LQR controller.
{"title":"Robust Tracking Control for the Non-isothermal Continuous Stirred Tank Reactor","authors":"Sana Bzioui, R. Channa","doi":"10.7546/ijba.2020.24.2.000615","DOIUrl":"https://doi.org/10.7546/ijba.2020.24.2.000615","url":null,"abstract":"Abstract: A non-isothermal continuous stirred tank reactor (CSTR) is the most important element of chemical industrial equipment which is characterized by a highly nonlinear behavior. It is a multi-input multi-output (MIMO) nonlinear systems exposed to disturbances. The operation of the non-isothermal CSTR can be disturbed by its uncertain parameter such as variation in heat reaction. Therefore, the two difficult problems in CSTR control are tracking trajectory and disturbance attenuation. In this paper, a robust H∞ fuzzy tracking control via Takagi-Sugeno (T-S) model is designed to robustly stabilize the non-isothermal CSTR system for both concentration and temperature affected by disturbances. T-S fuzzy model approach is proposed to derive the nonlinear model of the CSTR to several local linear models. A parallel distributed compensation control law is used to stabilize the closed-loop system. Linear matrix inequality conditions are derived for analyzing regional robust stability and performance based on Lyapunov function, and an H∞ criterion is employed to guarantee the attenuation of disturbances. In trajectory tracking framework, an integral action is introduced as a new state variable. Finally, a comparative study between H∞ controller and linear quadratic regulator (LQR) controller is made. Simulation results show that the proposed H∞ controller ensures an asymptotic stability and guarantees highly robustness against changes in reaction heat with a good trajectory tracking. The H∞ controller gives better performance than the classical LQR controller.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44960537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-01DOI: 10.7546/ijba.2020.24.2.000608
Yijun Liu, Beihong Wang, Ren-pu Li, Sheng He, Haixu Xi, Ye Luo
The relapse risk prediction for children with Henoch-Schönlein purpura can help pediatricians make an accurate prognosis and offer personalized and appropriate follow-up nursing and relapse control to patients. In this study, we propose a Genetic algorithmSupport vector machine (GA-SVM) learning method combining the support vector machine with the genetic algorithm for parameter optimization to capture the nonlinear mapping from a panel of biomarkers to the relapse risk of HSP children. The GA-SVM prediction model is created by using the dataset of 40 samples in clinical treatment and observation of patients. The inputs of the model consist of 19 biomarkers including gender, age, immunoglobulin M, immunoglobulin G, immunoglobulin A, prothrombin time, etc. The outputs consist of 1 and -1, where 1 indicates high relapse risk and -1 indicates low relapse risk. For comparison, the GS-SVM prediction model based on parameter optimization of grid search is also created. The experimental results show that the GA-SVM prediction model has a high prediction accuracy of 90% and is strong in generalization ability. The GA-SVM model for predicting the relapse risk of HSP children is a promising decision support tool of clinical prognosis, which provides pediatricians with valuable assistance to offer rehabilitation treatment to patients.
{"title":"Relapse Risk Prediction for Children with Henoch-Schönlein Purpura Based on GA-SVM","authors":"Yijun Liu, Beihong Wang, Ren-pu Li, Sheng He, Haixu Xi, Ye Luo","doi":"10.7546/ijba.2020.24.2.000608","DOIUrl":"https://doi.org/10.7546/ijba.2020.24.2.000608","url":null,"abstract":"The relapse risk prediction for children with Henoch-Schönlein purpura can help pediatricians make an accurate prognosis and offer personalized and appropriate follow-up nursing and relapse control to patients. In this study, we propose a Genetic algorithmSupport vector machine (GA-SVM) learning method combining the support vector machine with the genetic algorithm for parameter optimization to capture the nonlinear mapping from a panel of biomarkers to the relapse risk of HSP children. The GA-SVM prediction model is created by using the dataset of 40 samples in clinical treatment and observation of patients. The inputs of the model consist of 19 biomarkers including gender, age, immunoglobulin M, immunoglobulin G, immunoglobulin A, prothrombin time, etc. The outputs consist of 1 and -1, where 1 indicates high relapse risk and -1 indicates low relapse risk. For comparison, the GS-SVM prediction model based on parameter optimization of grid search is also created. The experimental results show that the GA-SVM prediction model has a high prediction accuracy of 90% and is strong in generalization ability. The GA-SVM model for predicting the relapse risk of HSP children is a promising decision support tool of clinical prognosis, which provides pediatricians with valuable assistance to offer rehabilitation treatment to patients.","PeriodicalId":38867,"journal":{"name":"International Journal Bioautomation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43364082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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