N. Deliiski, N. Trichkov, Z. Gochev, Dimitar H. Angelski
Abstract A mathematical model and a numerical approach for the computation of the specific energy consumption, which is needed for warming up of flat furniture elements before their lacquering, have been suggested. The approach is based on the integration of the solutions of a non-linear model for the calculation of the nonstationary 1D temperature distribution along the thickness of subjected to unilateral convective heating furniture elements. With the help of a self-prepared software program, computations have been carried out for the determination of the change in the specific energy, which is consumed by oak furniture elements with an initial temperature of 20 °C, moisture content of 8 %, thickness of 16 mm, and length of 0.6 m, 1.2 m, and 1.8 m, during their 10 min unilateral convective heating by hot air with temperature of 100 °C and velocity of 5 m·s−1.
{"title":"Modeling of the Energy Consumption for Warming up of Furniture Elements during their Unilateral Convective Heating before Lacquering","authors":"N. Deliiski, N. Trichkov, Z. Gochev, Dimitar H. Angelski","doi":"10.1515/itc-2017-0012","DOIUrl":"https://doi.org/10.1515/itc-2017-0012","url":null,"abstract":"Abstract A mathematical model and a numerical approach for the computation of the specific energy consumption, which is needed for warming up of flat furniture elements before their lacquering, have been suggested. The approach is based on the integration of the solutions of a non-linear model for the calculation of the nonstationary 1D temperature distribution along the thickness of subjected to unilateral convective heating furniture elements. With the help of a self-prepared software program, computations have been carried out for the determination of the change in the specific energy, which is consumed by oak furniture elements with an initial temperature of 20 °C, moisture content of 8 %, thickness of 16 mm, and length of 0.6 m, 1.2 m, and 1.8 m, during their 10 min unilateral convective heating by hot air with temperature of 100 °C and velocity of 5 m·s−1.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115729975","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}
Abstract Background: Orthogonal Frequency Division Multiplexing (OFDM) has emerged as the core technology of the 4th generation mobile communication due to its capacity to combat channel fading also OFDM is highly spectral efficient. Methods/Statistical Analysis: LabVIEW 2012 is used to simulate and evaluate the performance of OFDM link. Bit Error Rate (BER) evaluation of discrete Fourier transform (DFT) based OFDM system is carried out in this work. The simulation based analysis is demonstrated by means of different modulation schemes like QPSK, 16-QAM for OFDM based wireless system. Findings: QPSK needs less SNR as compared to 16-QAM to achieve an acceptable BER Furthermore, the efficiency of OFDM increases with increase of cyclic prefix. In OFDM, ISI and ICI-interference reduced by implying cyclic prefix. Applications/Improvements: The performance analysis of orthogonal frequency division multiplexing is analyzed using LabVIEW 2012 based on performance parameters like cyclic prefix simulated at frequency of 2.4 GHz using FFT size 512, 1024.
{"title":"Performance Evaluation of OFDM Based Link Using LabVIEW 2012","authors":"G. Soni","doi":"10.1515/itc-2017-0015","DOIUrl":"https://doi.org/10.1515/itc-2017-0015","url":null,"abstract":"Abstract Background: Orthogonal Frequency Division Multiplexing (OFDM) has emerged as the core technology of the 4th generation mobile communication due to its capacity to combat channel fading also OFDM is highly spectral efficient. Methods/Statistical Analysis: LabVIEW 2012 is used to simulate and evaluate the performance of OFDM link. Bit Error Rate (BER) evaluation of discrete Fourier transform (DFT) based OFDM system is carried out in this work. The simulation based analysis is demonstrated by means of different modulation schemes like QPSK, 16-QAM for OFDM based wireless system. Findings: QPSK needs less SNR as compared to 16-QAM to achieve an acceptable BER Furthermore, the efficiency of OFDM increases with increase of cyclic prefix. In OFDM, ISI and ICI-interference reduced by implying cyclic prefix. Applications/Improvements: The performance analysis of orthogonal frequency division multiplexing is analyzed using LabVIEW 2012 based on performance parameters like cyclic prefix simulated at frequency of 2.4 GHz using FFT size 512, 1024.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132232898","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}
Abstract Some industrial processes have nonlinearities and large delays. This causes instabilities and many difficulties for the system tuning. This paper presents tuning of a fuzzy PD controller for a nonlinear object with a large delay and an integrator in its structure. The simulation and respective results shows that the presented options assist for much better and easier system setup.
{"title":"One Way of Tuning a Fuzzy PD Controller Implemented with PLC","authors":"V. Uzunov","doi":"10.1515/itc-2017-0014","DOIUrl":"https://doi.org/10.1515/itc-2017-0014","url":null,"abstract":"Abstract Some industrial processes have nonlinearities and large delays. This causes instabilities and many difficulties for the system tuning. This paper presents tuning of a fuzzy PD controller for a nonlinear object with a large delay and an integrator in its structure. The simulation and respective results shows that the presented options assist for much better and easier system setup.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129448006","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}
Abstract The effects of the estmated plant models accuracy on the control system signals quality after generalized predictive controllers design are studied in the paper. Two identification approaches are used for different in structures discrete-time models – by optimization procedure in Optimization Toolbox based on the plant step response as a standard deterministic plant characteristic and by functions in System Identification Toolbox after experiments with random signals on the plant. The generalized predictive controllers are design according to the estimated models. The processes in the simulated control systems are analyzed concerning the effects of different kind plant models on the designed controllers.
{"title":"Effects of Plant Identification on the Generalized Predictive Controllers Design","authors":"E. Garipov","doi":"10.1515/itc-2017-0011","DOIUrl":"https://doi.org/10.1515/itc-2017-0011","url":null,"abstract":"Abstract The effects of the estmated plant models accuracy on the control system signals quality after generalized predictive controllers design are studied in the paper. Two identification approaches are used for different in structures discrete-time models – by optimization procedure in Optimization Toolbox based on the plant step response as a standard deterministic plant characteristic and by functions in System Identification Toolbox after experiments with random signals on the plant. The generalized predictive controllers are design according to the estimated models. The processes in the simulated control systems are analyzed concerning the effects of different kind plant models on the designed controllers.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275836","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}
Abstract The article presents the synthesis of a multi-model modal control of single input – single output nonlinear plant, based on Takagi-Sugeno fuzzy controller. For that purpose, the nonlinear static characteristic of the plant is presented by two linear parts. These two linear structures are described in state space. The feedback vectors and the coefficients ki of the modal controllers are calculated. An integral component in the control law is added.
{"title":"Multi-model Fuzzy Modal Control of SISO Nonlinear Plant","authors":"V. Lukov, M. Alexandrova, N. Nikolov","doi":"10.1515/itc-2017-0013","DOIUrl":"https://doi.org/10.1515/itc-2017-0013","url":null,"abstract":"Abstract The article presents the synthesis of a multi-model modal control of single input – single output nonlinear plant, based on Takagi-Sugeno fuzzy controller. For that purpose, the nonlinear static characteristic of the plant is presented by two linear parts. These two linear structures are described in state space. The feedback vectors and the coefficients ki of the modal controllers are calculated. An integral component in the control law is added.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130720234","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}
Abstract The work proposed analytical modeling the processes in laboratory pneumatic FESTO-model. The characteristics of the pro-posed analytical model are simulated and analyzed. Systems for control of laboratory installation are synthesized. Designing control systems are modeled and their performance is analyzed. Is confirmed and proven their efficiency.
{"title":"Control System of Physical Laboratory Festo-Model Installation of Technology","authors":"E. Nikolov, N. Nikolova, B. Grasiani","doi":"10.1515/itc-2017-0007","DOIUrl":"https://doi.org/10.1515/itc-2017-0007","url":null,"abstract":"Abstract The work proposed analytical modeling the processes in laboratory pneumatic FESTO-model. The characteristics of the pro-posed analytical model are simulated and analyzed. Systems for control of laboratory installation are synthesized. Designing control systems are modeled and their performance is analyzed. Is confirmed and proven their efficiency.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124342061","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}
Abstract The paper presents enhancements and innovative solutions of the proposed in [3] algorithms for fingers tracking and hand gesture recognition based on new defined features describing hand gestures and exploiting new-tracked tip and thumb joints from Kinect v2 sensor. Dynamic Time Warping (DTW) algorithm is used for gestures recognition. We increased its accuracy, scale and rotational invariance by defining new 3D featuring angles describing gestures and used for training a gesture database. 3D positions for fingertips are extracted from depth sensor data and used for calculation of featuring angles between vectors. The provided by Kinect v2 3D positions for thumb, tip and hand joints also participates during the phases of recognition. A comparison with the latest published approach for finger tracking has been performed. The feasibility of the algorithms have been proven by real experiments.
{"title":"Fingers and Gesture Recognition with Kinect v2 Sensor","authors":"A. Lekova, D. Ryan, R. Davidrajuh","doi":"10.1515/itc-2017-0009","DOIUrl":"https://doi.org/10.1515/itc-2017-0009","url":null,"abstract":"Abstract The paper presents enhancements and innovative solutions of the proposed in [3] algorithms for fingers tracking and hand gesture recognition based on new defined features describing hand gestures and exploiting new-tracked tip and thumb joints from Kinect v2 sensor. Dynamic Time Warping (DTW) algorithm is used for gestures recognition. We increased its accuracy, scale and rotational invariance by defining new 3D featuring angles describing gestures and used for training a gesture database. 3D positions for fingertips are extracted from depth sensor data and used for calculation of featuring angles between vectors. The provided by Kinect v2 3D positions for thumb, tip and hand joints also participates during the phases of recognition. A comparison with the latest published approach for finger tracking has been performed. The feasibility of the algorithms have been proven by real experiments.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121398647","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}
Abstract The paper deals with the problem of traffic scheduling in a crossbar switch node used in communication networks. In particular, we study the non-conflict scheduling in sub matrices of the connection matrix of an Algorithm with diagonal activations of joint sub matrices (ADAJS) and propose a scheduling algorithm which is optimal in terms of performance and the necessary memory. For comparison, we have examined six algorithms with their software models.
{"title":"Algorithm for Non Conflict Schedule in Sub Matrices Optimal in Terms of Performance and Memory","authors":"K. Kolchakov, V. Monov","doi":"10.1515/itc-2017-0006","DOIUrl":"https://doi.org/10.1515/itc-2017-0006","url":null,"abstract":"Abstract The paper deals with the problem of traffic scheduling in a crossbar switch node used in communication networks. In particular, we study the non-conflict scheduling in sub matrices of the connection matrix of an Algorithm with diagonal activations of joint sub matrices (ADAJS) and propose a scheduling algorithm which is optimal in terms of performance and the necessary memory. For comparison, we have examined six algorithms with their software models.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116229909","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}
Abstract This paper deals with a systematic design procedure that guarantees the stability and optimal performance of the nonlinear systems described by Takagi-Sugeno fuzzy models. Takagi-Sugeno fuzzy model allows us to represent a nonlinear system by linear models in different state space regions. The overall fuzzy model is obtained by fuzzy blending of these linear models. Then based on this model, linear controllers are designed for each linear model using parallel distributed compensation. Stability and optimal performance conditions for Takagi-Sugeno fuzzy control systems can be represented by a set of linear matrix inequalities which can be solved using software packages such as MATLAB’s LMI Toolbox. This design procedure is illustrated for a nonlinear system which is described by a two-rule Takagi-Sugeno fuzzy model. The fuzzy model was built in MATLAB Simulink and a code was written in LMI Toolbox to determine the controller gains subject to the proposed design approach.
{"title":"Stable and Optimal Controller Design for Takagi-Sugeno Fuzzy Model Based Control Systems via Linear Matrix Inequalities","authors":"M. Namazov, A. Alili","doi":"10.1515/itc-2017-0010","DOIUrl":"https://doi.org/10.1515/itc-2017-0010","url":null,"abstract":"Abstract This paper deals with a systematic design procedure that guarantees the stability and optimal performance of the nonlinear systems described by Takagi-Sugeno fuzzy models. Takagi-Sugeno fuzzy model allows us to represent a nonlinear system by linear models in different state space regions. The overall fuzzy model is obtained by fuzzy blending of these linear models. Then based on this model, linear controllers are designed for each linear model using parallel distributed compensation. Stability and optimal performance conditions for Takagi-Sugeno fuzzy control systems can be represented by a set of linear matrix inequalities which can be solved using software packages such as MATLAB’s LMI Toolbox. This design procedure is illustrated for a nonlinear system which is described by a two-rule Takagi-Sugeno fuzzy model. The fuzzy model was built in MATLAB Simulink and a code was written in LMI Toolbox to determine the controller gains subject to the proposed design approach.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128136527","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}
Abstract Planning and design of cellular networks is associated with the creation of traffic models for the transfer of signal using schemes with priorities within which assess the probability parameters of quality of service is performed. The study of these parameters is associated with the creation of a simulation model and an algorithm of broadband handover.
{"title":"Simulation Algorithm to Determine the Number of Un-Served Calls when Transferring the Signal in Broadband Cellular Networks","authors":"E. Otsetova-Dudin, I. Kurtev, S. Siarova","doi":"10.1515/itc-2017-0008","DOIUrl":"https://doi.org/10.1515/itc-2017-0008","url":null,"abstract":"Abstract Planning and design of cellular networks is associated with the creation of traffic models for the transfer of signal using schemes with priorities within which assess the probability parameters of quality of service is performed. The study of these parameters is associated with the creation of a simulation model and an algorithm of broadband handover.","PeriodicalId":336799,"journal":{"name":"Information Technologies and Control","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125317944","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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