Pub Date : 2020-06-01DOI: 10.1109/ECTI-CON49241.2020.9158232
O. Channumsin, W. Tangsrirat
This study describes the synthesis of a single-input three-output (SITO) universal filter and a sinusoidal quadrature oscillator employing only a single voltage differencing gain amplifier (VDGA). The proposed circuit can work either SITO universal filter or QO with the same circuit structure. Both of the realized circuits also produce both voltage and current output signals simultaneously. The dual-mode SITO filter can simultaneously synthesize the main principal filter types (i.e. LP, BP and HP) without altering circuit structure. In contrast, the proposed sinusoidal quadrature oscillator can produce two duplicate sinusoid waveforms with 90° phase shift. Additionally, all the proposed circuits provide the benefit property of separate controlling of the significant parameters.
{"title":"Compact Dual-Mode SITO Universal Filter and Quadrature Oscillator with Only Single VDGA","authors":"O. Channumsin, W. Tangsrirat","doi":"10.1109/ECTI-CON49241.2020.9158232","DOIUrl":"https://doi.org/10.1109/ECTI-CON49241.2020.9158232","url":null,"abstract":"This study describes the synthesis of a single-input three-output (SITO) universal filter and a sinusoidal quadrature oscillator employing only a single voltage differencing gain amplifier (VDGA). The proposed circuit can work either SITO universal filter or QO with the same circuit structure. Both of the realized circuits also produce both voltage and current output signals simultaneously. The dual-mode SITO filter can simultaneously synthesize the main principal filter types (i.e. LP, BP and HP) without altering circuit structure. In contrast, the proposed sinusoidal quadrature oscillator can produce two duplicate sinusoid waveforms with 90° phase shift. Additionally, all the proposed circuits provide the benefit property of separate controlling of the significant parameters.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122071622","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: 10.1109/ecti-con49241.2020.9158327
Adisak Intana
This paper proposes a pattern-based formal modelling framework for wireless sensor networks (WSNs) to investigate and evaluate the usability and reusability in the application of an existing set of formal modelling pattern for WSN development. The framework provides guidance demonstrating how refinement patterns and reusable event components can improve the formal development efficiency and minimize the engineering efforts and costs. We experiment this with modeling of a Healthcare Monitoring System (HCMS) case study. This is also accomplished with reusable events from the model achieved from our previous work. The results have shown the high level of reusability from this pattern-based formal modelling framework we seek.
{"title":"A Pattern-Based Formal Modelling Framework for Wireless Sensor Networks","authors":"Adisak Intana","doi":"10.1109/ecti-con49241.2020.9158327","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158327","url":null,"abstract":"This paper proposes a pattern-based formal modelling framework for wireless sensor networks (WSNs) to investigate and evaluate the usability and reusability in the application of an existing set of formal modelling pattern for WSN development. The framework provides guidance demonstrating how refinement patterns and reusable event components can improve the formal development efficiency and minimize the engineering efforts and costs. We experiment this with modeling of a Healthcare Monitoring System (HCMS) case study. This is also accomplished with reusable events from the model achieved from our previous work. The results have shown the high level of reusability from this pattern-based formal modelling framework we seek.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183872","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: 10.1109/ECTI-CON49241.2020.9158057
Suphongsa Khetkeeree, Bannakorn Petchthaweetham, S. Liangrocapart, Sanun Srisuk
Due to the penetration of the electromagnetic (EM) wave in infrared are higher than the visible bands. The satellite image details from these bands are obviously than others. Most of the visible bands directly varied with the infrared bands, especially the non-water area. We can employ these properties to generate synthetic visible bands for decreasing the haze effect. However, some area has a more complex relation between visible and infrared bands. To overcome this problem, we proposed the dehazing technique for Sentinel-2 imagery by using visible and infrared band correlation based on the Normalized Difference Vegetation Index (NDVI) classification. The synthetic visible bands are constructed from the linear combination of the infrared bands. The multiple linear regression is applied to determine the linear coefficients of each formula. The NDVI is employed to classify the group of considered samples. The haze-free images with the nearest sensing date were employed to compare probably realistic images, both visual and metric comparisons. The results show that our proposed techniques can be well applied to reduce the haze effects, especially the uniform thin haze. Moreover, there give both visual and metrics results superior to the traditional method. In the case of thick haze, our proposed methods give more obvious vision. However, our methods have a disadvantage in the water areas. It had more artifact results due to its NDVI failure in the corrected classes.
{"title":"Sentinel-2 Image Dehazing using Visible and Infrared Band Correlation Based on NDVI Classification","authors":"Suphongsa Khetkeeree, Bannakorn Petchthaweetham, S. Liangrocapart, Sanun Srisuk","doi":"10.1109/ECTI-CON49241.2020.9158057","DOIUrl":"https://doi.org/10.1109/ECTI-CON49241.2020.9158057","url":null,"abstract":"Due to the penetration of the electromagnetic (EM) wave in infrared are higher than the visible bands. The satellite image details from these bands are obviously than others. Most of the visible bands directly varied with the infrared bands, especially the non-water area. We can employ these properties to generate synthetic visible bands for decreasing the haze effect. However, some area has a more complex relation between visible and infrared bands. To overcome this problem, we proposed the dehazing technique for Sentinel-2 imagery by using visible and infrared band correlation based on the Normalized Difference Vegetation Index (NDVI) classification. The synthetic visible bands are constructed from the linear combination of the infrared bands. The multiple linear regression is applied to determine the linear coefficients of each formula. The NDVI is employed to classify the group of considered samples. The haze-free images with the nearest sensing date were employed to compare probably realistic images, both visual and metric comparisons. The results show that our proposed techniques can be well applied to reduce the haze effects, especially the uniform thin haze. Moreover, there give both visual and metrics results superior to the traditional method. In the case of thick haze, our proposed methods give more obvious vision. However, our methods have a disadvantage in the water areas. It had more artifact results due to its NDVI failure in the corrected classes.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130415394","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}
This study proposed the design of knee training and equipment for the Thai people physiology. This equipment allows the patient to fully control the stretching of the knee, the Vastus Medialis Oblique (VMO) movement fully extended. The researchers developed a knee support training device using an IMU sensor attach to the knee and sent knee extension exercise data to the tablet via Wi-Fi. The training program support 3 postures; sit and move the leg forward, stand up and move the leg backward, stand up and move the leg beside. Training provides 4 games to simulate a knee extension. Trainees control knee movement to control the direction of the game. The experimental result was gaining from 70 participants who are aging 18-45 all genders, with VMO weakness, Testers was divided into 2 groups: did only exercise, exercise using Trigo wireless. Electromyography (EMG) is a measure of the level of knee stretching at the end of the movement of VMO and Vastus Lateralis (VL), which used in exercise for the treatment of knee pain. The evaluation based on the patient's stretching ability and the practice. The results of tester who using the training tools have improvement. The ability to flex the knee can be increasing by an average of 36° (in the range 0° - 90°) and the average pain level was decreasing by 3.1 levels (in the range of 0 - 10 levels). From the experimental results, the development of training as a model for the development of a knee support training program prevented injury in the elderly and muscle recovery from deterioration and injury.
{"title":"A Development of Knee Support for Vastus Medialis Oblique Muscles for Thai Patients","authors":"Sira Saklertwilai, Wisan Tangwongcharoen, Worachart Churdchomjan","doi":"10.1109/ecti-con49241.2020.9158077","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158077","url":null,"abstract":"This study proposed the design of knee training and equipment for the Thai people physiology. This equipment allows the patient to fully control the stretching of the knee, the Vastus Medialis Oblique (VMO) movement fully extended. The researchers developed a knee support training device using an IMU sensor attach to the knee and sent knee extension exercise data to the tablet via Wi-Fi. The training program support 3 postures; sit and move the leg forward, stand up and move the leg backward, stand up and move the leg beside. Training provides 4 games to simulate a knee extension. Trainees control knee movement to control the direction of the game. The experimental result was gaining from 70 participants who are aging 18-45 all genders, with VMO weakness, Testers was divided into 2 groups: did only exercise, exercise using Trigo wireless. Electromyography (EMG) is a measure of the level of knee stretching at the end of the movement of VMO and Vastus Lateralis (VL), which used in exercise for the treatment of knee pain. The evaluation based on the patient's stretching ability and the practice. The results of tester who using the training tools have improvement. The ability to flex the knee can be increasing by an average of 36° (in the range 0° - 90°) and the average pain level was decreasing by 3.1 levels (in the range of 0 - 10 levels). From the experimental results, the development of training as a model for the development of a knee support training program prevented injury in the elderly and muscle recovery from deterioration and injury.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679725","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: 10.1109/ECTI-CON49241.2020.9158096
S. Wongsa, Nitis Kowkasai
MagLev ball motion control is a challenging problem because of its nonlinear and unstable behaviour. It also requires to have a large operating range. In this work, we have extended the current success of a deep reinforcement learning algorithm in continuous control using the Deep Deterministic Policy Gradient (DDPG), to magnetic levitation (MagLev) control. In reinforcement learning, the reward function is very critical for learning the optimal policy. We propose a novel and simple reward function for DDPG and evaluate our method on MagLev control. Our DDPG-based controller shows the capability to learn from the system with comparable performance to the previously proposed reward function. It can also find the solution to control the ball at all positions, including the ones that were not shown during the learning stage.
{"title":"Deep Deterministic Policy Gradient for Magnetic Levitation Control","authors":"S. Wongsa, Nitis Kowkasai","doi":"10.1109/ECTI-CON49241.2020.9158096","DOIUrl":"https://doi.org/10.1109/ECTI-CON49241.2020.9158096","url":null,"abstract":"MagLev ball motion control is a challenging problem because of its nonlinear and unstable behaviour. It also requires to have a large operating range. In this work, we have extended the current success of a deep reinforcement learning algorithm in continuous control using the Deep Deterministic Policy Gradient (DDPG), to magnetic levitation (MagLev) control. In reinforcement learning, the reward function is very critical for learning the optimal policy. We propose a novel and simple reward function for DDPG and evaluate our method on MagLev control. Our DDPG-based controller shows the capability to learn from the system with comparable performance to the previously proposed reward function. It can also find the solution to control the ball at all positions, including the ones that were not shown during the learning stage.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129597672","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: 10.1109/ecti-con49241.2020.9158098
K. Chamnongthai, Tomoaki Sato, P. Akkaraekthalin, P. Kovintavewat, P. Prommee, M. Mahfuz
Steering Committee Kosin Chamnongthai, King Mongkut’s University of Technology Thonburi, Thailand Tomoaki Sato, Hokusel Gakuen University, Japan Kou Yamada, Gunma University, Japan Prayoot Akkaraekthalin, King Mongkut’s University of Technology North Bangkok, Thailand Ajchara Charoensook, National Institute of Metrology, Thailand Supatra Kosaiyakanont, Rajamangala University of Technology Phra Nakhon, Thailand Yasumasa Fujisaki, The Society of Instrument and Control Engineers (SICE), Japan Chul Joo Hwnag, Institute of Control, Robotics and Systems (ICROS), Korea Yoshihiro Matsui, Tokyo National College of Technology (TNCT), Japan David Banjerdpongchai, Chulalongkorn University, Thailand Tuptim Angkaew, Chulalongkorn University, Thailand Uthen Khamnan, Rajamangala University of Technology Lanna, Thailand Pichaya Tandayya, Prince of Songkla University, Thailand Roungsan Chaisrichareon, Mae Fah Luang University, Thailand
{"title":"ECTI-CON 2020 Organizing Committee","authors":"K. Chamnongthai, Tomoaki Sato, P. Akkaraekthalin, P. Kovintavewat, P. Prommee, M. Mahfuz","doi":"10.1109/ecti-con49241.2020.9158098","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158098","url":null,"abstract":"Steering Committee Kosin Chamnongthai, King Mongkut’s University of Technology Thonburi, Thailand Tomoaki Sato, Hokusel Gakuen University, Japan Kou Yamada, Gunma University, Japan Prayoot Akkaraekthalin, King Mongkut’s University of Technology North Bangkok, Thailand Ajchara Charoensook, National Institute of Metrology, Thailand Supatra Kosaiyakanont, Rajamangala University of Technology Phra Nakhon, Thailand Yasumasa Fujisaki, The Society of Instrument and Control Engineers (SICE), Japan Chul Joo Hwnag, Institute of Control, Robotics and Systems (ICROS), Korea Yoshihiro Matsui, Tokyo National College of Technology (TNCT), Japan David Banjerdpongchai, Chulalongkorn University, Thailand Tuptim Angkaew, Chulalongkorn University, Thailand Uthen Khamnan, Rajamangala University of Technology Lanna, Thailand Pichaya Tandayya, Prince of Songkla University, Thailand Roungsan Chaisrichareon, Mae Fah Luang University, Thailand","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129230284","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: 10.1109/ecti-con49241.2020.9158251
W. Treeson, B. Techaumnat
Particles in gas insulated systems may affect system operations. This work studies the liftoff of steel particles under the DC electric field. The particle sizes are 181.01 or 106.82 µm. The electrodes are parallel and the gap between electrodes is 1 cm. Ramp and step voltages ranges are 0-12kV. This experiment uses a computer to control voltage supply and image acquisition. The number of particles lifted from the grounded electrode are taken by a camera. The results show the liftoff efficiency of particles. The liftoff efficiency of smaller particles is lower than larger particles for ramp and step voltages. Also, the liftoff efficiency of positive voltage is higher than the negative voltage. The step voltages are more efficient in the liftoff ramp voltage.
{"title":"Liftoff of Submillimeter Conducting Particles Under DC Electric Field","authors":"W. Treeson, B. Techaumnat","doi":"10.1109/ecti-con49241.2020.9158251","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158251","url":null,"abstract":"Particles in gas insulated systems may affect system operations. This work studies the liftoff of steel particles under the DC electric field. The particle sizes are 181.01 or 106.82 µm. The electrodes are parallel and the gap between electrodes is 1 cm. Ramp and step voltages ranges are 0-12kV. This experiment uses a computer to control voltage supply and image acquisition. The number of particles lifted from the grounded electrode are taken by a camera. The results show the liftoff efficiency of particles. The liftoff efficiency of smaller particles is lower than larger particles for ramp and step voltages. Also, the liftoff efficiency of positive voltage is higher than the negative voltage. The step voltages are more efficient in the liftoff ramp voltage.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117025142","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: 10.1109/ecti-con49241.2020.9158138
Dipanita Chakraborty, W. Chiracharit
Due to disabilities, visually impaired or blind people face difficulties to recognize washroom sign in public places by themselves. In natural scene images, so many objects are present that are similar to human shaped male or female washroom sign making it more difficult to detect and classify between male and female washroom sign. Moreover, at a certain distance, a human body is also look like washroom sign, where system might get confused to classify between a real human figure and a human shaped washroom sign. Focusing on this issue, deep learning- based methods are proposed to detect common patterns of washroom signs in natural images. In this proposed method, MSER algorithm is used for object detection, Geometrical properties algorithm is used for text part and unwanted part removal and then region of interest has been detected by bounding box algorithm, at last CNN is used to classify washroom sign images into three different classes, i.e. ‘washroom sign’, ‘female washroom sign’ and ‘men washroom sign’. Our CNN classifier gives an accuracy with 96%- 99%. The experimental results were compared with other methods such as SVM, HOG, AdaBoost, MCT to compare the accuracy results with our proposed method which is described in Proposed Method.
{"title":"Washroom Sign Detection Using Convolutional Neural Network in Natural Scene Images","authors":"Dipanita Chakraborty, W. Chiracharit","doi":"10.1109/ecti-con49241.2020.9158138","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158138","url":null,"abstract":"Due to disabilities, visually impaired or blind people face difficulties to recognize washroom sign in public places by themselves. In natural scene images, so many objects are present that are similar to human shaped male or female washroom sign making it more difficult to detect and classify between male and female washroom sign. Moreover, at a certain distance, a human body is also look like washroom sign, where system might get confused to classify between a real human figure and a human shaped washroom sign. Focusing on this issue, deep learning- based methods are proposed to detect common patterns of washroom signs in natural images. In this proposed method, MSER algorithm is used for object detection, Geometrical properties algorithm is used for text part and unwanted part removal and then region of interest has been detected by bounding box algorithm, at last CNN is used to classify washroom sign images into three different classes, i.e. ‘washroom sign’, ‘female washroom sign’ and ‘men washroom sign’. Our CNN classifier gives an accuracy with 96%- 99%. The experimental results were compared with other methods such as SVM, HOG, AdaBoost, MCT to compare the accuracy results with our proposed method which is described in Proposed Method.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124304874","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: 10.1109/ecti-con49241.2020.9158282
R. Punchalard, Aphirak Thitinauremit
Adaptive Sinusoidal interference cancellation (ASIC) based on recursive least square (RLS) algorithm is proposed. RLS algorithm allows us to use a recursion instead of inversion of the autocorrelation matrix to evaluate the optimum weights. The main advantage of RLS algorithm is that it exhibits extremely high rate of convergence. Computer simulations are performed to demonstrate the performance of the proposed algorithm.
{"title":"RLS-based Interference Cancellation","authors":"R. Punchalard, Aphirak Thitinauremit","doi":"10.1109/ecti-con49241.2020.9158282","DOIUrl":"https://doi.org/10.1109/ecti-con49241.2020.9158282","url":null,"abstract":"Adaptive Sinusoidal interference cancellation (ASIC) based on recursive least square (RLS) algorithm is proposed. RLS algorithm allows us to use a recursion instead of inversion of the autocorrelation matrix to evaluate the optimum weights. The main advantage of RLS algorithm is that it exhibits extremely high rate of convergence. Computer simulations are performed to demonstrate the performance of the proposed algorithm.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"351 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122824763","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: 10.1109/ECTI-CON49241.2020.9158287
In Seok Park, Chan-eun Park, P. Park
This paper proposes a new necessary and sufficient condition for the state-feedback stabilization of discrete-time singular systems via a linear matrix inequality (LMI) approach. This paper derives an alternative form of admissibility criterion of the discrete-time singular systems as a necessary and sufficient condition. Then, for the closed-loop system obtained by using the state-feedback controller, the derived admissibility criterion is applied, which leads to the non-convex matrix inequalities. This paper specially chooses the block entries of the congruent transformation matrix so that the non-convex matrix inequalities are successfully converted into the convex one. Consequently, the state-feedback stabilization control for discrete-time singular systems is obtained as a necessary and sufficient condition in terms of LMIs. The feasibility of the proposed control is further described via a numerical example.
{"title":"New Study on a Necessary and Sufficient State-Feedback Stabilization Condition for Singular Discrete-Time System","authors":"In Seok Park, Chan-eun Park, P. Park","doi":"10.1109/ECTI-CON49241.2020.9158287","DOIUrl":"https://doi.org/10.1109/ECTI-CON49241.2020.9158287","url":null,"abstract":"This paper proposes a new necessary and sufficient condition for the state-feedback stabilization of discrete-time singular systems via a linear matrix inequality (LMI) approach. This paper derives an alternative form of admissibility criterion of the discrete-time singular systems as a necessary and sufficient condition. Then, for the closed-loop system obtained by using the state-feedback controller, the derived admissibility criterion is applied, which leads to the non-convex matrix inequalities. This paper specially chooses the block entries of the congruent transformation matrix so that the non-convex matrix inequalities are successfully converted into the convex one. Consequently, the state-feedback stabilization control for discrete-time singular systems is obtained as a necessary and sufficient condition in terms of LMIs. The feasibility of the proposed control is further described via a numerical example.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124003634","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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