Pub Date : 2017-05-01DOI: 10.1109/ATSIP.2017.8075606
Zineb M’harzi, M. Alami, F. Temcamani
A novel structure of current controlled negative resistance is presented in this paper. It has a very useful role in many analog circuits like oscillators and bandpass filters. The negative resistance circuit, which requires no external passive component, is constituted of two simplified negative second generation current controlled conveyors (CCCII−). This conveyor uses NPN bipolar transistors to transfer the signals and CMOS transistors for bias circuit. Simulation results, with Virtuoso of Cadence, are given for the conveyor CCCII− and the current controlled negative resistance with a 100 μA bias current and a ±1.5 V supply voltage. They confirm the theoretical analysis and also underline the high performances of these circuits. They are characterized by adjustable parameters through the bias current, high frequency behavior, low power consumption, and small silicon area which make them attractive for integrated circuit implementations. A comparison between these implementations and the topologies proposed in the literature is discussed.
本文提出了一种新的电流控制负电阻结构。它在许多模拟电路如振荡器和带通滤波器中起着非常有用的作用。负电阻电路不需要外部无源元件，由两个简化的负第二代电流控制传送带(CCCII−)组成。该传送带采用NPN双极晶体管传输信号，采用CMOS晶体管构成偏置电路。利用Virtuoso of Cadence软件，给出了在100 μA偏置电流和±1.5 V电源电压下，CCCII -和电流控制负电阻的仿真结果。他们证实了理论分析，也强调了这些电路的高性能。它们的特点是通过偏置电流可调参数，高频行为，低功耗和小硅面积，使它们具有集成电路实现的吸引力。讨论了这些实现与文献中提出的拓扑之间的比较。
{"title":"Novel current-controlled negative resistance based on simplified negative current-controlled conveyors","authors":"Zineb M’harzi, M. Alami, F. Temcamani","doi":"10.1109/ATSIP.2017.8075606","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075606","url":null,"abstract":"A novel structure of current controlled negative resistance is presented in this paper. It has a very useful role in many analog circuits like oscillators and bandpass filters. The negative resistance circuit, which requires no external passive component, is constituted of two simplified negative second generation current controlled conveyors (CCCII−). This conveyor uses NPN bipolar transistors to transfer the signals and CMOS transistors for bias circuit. Simulation results, with Virtuoso of Cadence, are given for the conveyor CCCII− and the current controlled negative resistance with a 100 μA bias current and a ±1.5 V supply voltage. They confirm the theoretical analysis and also underline the high performances of these circuits. They are characterized by adjustable parameters through the bias current, high frequency behavior, low power consumption, and small silicon area which make them attractive for integrated circuit implementations. A comparison between these implementations and the topologies proposed in the literature is discussed.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"112 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123440714","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075592
M. Taoussi, M. Karim, Dalila Hammoumi, C. Bekkali, B. Bossoufi, N. E. Ouanjli
In the propose of the work, we concerns the elaboration an efficient and robust control of active and reactive power by using the adaptive Backstepping control, which is applied to wind turbine energy. However, this controller depends highly on parameter variations of the Doubly Fed Induction Generator (DFIG). Their respective performances are compared with the Field oriented control, regarding to sudden speed variation, reference tracking and robustness against system parameters variations. The control simulation results are simulated on the environment Matlab / Simulink. A very detailed analysis of simulation results of wind conversion chain system is performed with the objective to evaluate and optimize the performance of the proposed system.
{"title":"Comparative study between backstepping adaptive and field-oriented control of the DFIG applied to wind turbines","authors":"M. Taoussi, M. Karim, Dalila Hammoumi, C. Bekkali, B. Bossoufi, N. E. Ouanjli","doi":"10.1109/ATSIP.2017.8075592","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075592","url":null,"abstract":"In the propose of the work, we concerns the elaboration an efficient and robust control of active and reactive power by using the adaptive Backstepping control, which is applied to wind turbine energy. However, this controller depends highly on parameter variations of the Doubly Fed Induction Generator (DFIG). Their respective performances are compared with the Field oriented control, regarding to sudden speed variation, reference tracking and robustness against system parameters variations. The control simulation results are simulated on the environment Matlab / Simulink. A very detailed analysis of simulation results of wind conversion chain system is performed with the objective to evaluate and optimize the performance of the proposed system.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132843259","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075563
I. Kallel, B. Solaiman
In this paper a novel possibilistic knowledge modeling at the pixel level, is proposed. This model consists on the use of the spatial contextual information at the level of each pixel, in order to evaluate a local based possibility distribution, resuming the pixel information. The proposed possibilistic modeling approach performance is evaluated through a pixel classification of both synthetic image and 5 mammographic images. Its performance is compared with three relevant reference methods: classic Bayesian approach and Markov Random fields approach with two optimization technics: Iterated Conditional Modes (ICM) and simulated annealing (RS). Our approach outperforms the other methods, in terms of recognition rate, by 94.84%, against, respectively, 93.88%, 85.10% and 84.67%. In addition, the proposed possibilistic modeling approach showed an interesting behavior of stability and allowed a better visually classification quality compared to other methods.
{"title":"Contextual possibilistic modeling of pixellic knowledge for tumor segmentation in mammographic images","authors":"I. Kallel, B. Solaiman","doi":"10.1109/ATSIP.2017.8075563","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075563","url":null,"abstract":"In this paper a novel possibilistic knowledge modeling at the pixel level, is proposed. This model consists on the use of the spatial contextual information at the level of each pixel, in order to evaluate a local based possibility distribution, resuming the pixel information. The proposed possibilistic modeling approach performance is evaluated through a pixel classification of both synthetic image and 5 mammographic images. Its performance is compared with three relevant reference methods: classic Bayesian approach and Markov Random fields approach with two optimization technics: Iterated Conditional Modes (ICM) and simulated annealing (RS). Our approach outperforms the other methods, in terms of recognition rate, by 94.84%, against, respectively, 93.88%, 85.10% and 84.67%. In addition, the proposed possibilistic modeling approach showed an interesting behavior of stability and allowed a better visually classification quality compared to other methods.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133134008","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075526
Amel Korti, A. Bessaid
Both Compressed Sensing (CS) and parallel MRI (pMRI) techniques can accelerate MRI scans; the CS method by reducing the acquired dataset sizes and the pMRI method by acquiring simultaneously undersampled k-space data. In this paper, we relate CS to accelerated parallel imaging reconstruction. Medical images can have a sparser representation in a wavelet domain. We study in the first, the effect of various wavelet types on the reconstructions and we show then the performance of the CS-pMRI method using more advanced techniques L1-wavelet regularization to suppress noise in the reconstruction, in comparison with CS and pMRI methods.
{"title":"Wavelet regularization in parallel imaging","authors":"Amel Korti, A. Bessaid","doi":"10.1109/ATSIP.2017.8075526","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075526","url":null,"abstract":"Both Compressed Sensing (CS) and parallel MRI (pMRI) techniques can accelerate MRI scans; the CS method by reducing the acquired dataset sizes and the pMRI method by acquiring simultaneously undersampled k-space data. In this paper, we relate CS to accelerated parallel imaging reconstruction. Medical images can have a sparser representation in a wavelet domain. We study in the first, the effect of various wavelet types on the reconstructions and we show then the performance of the CS-pMRI method using more advanced techniques L1-wavelet regularization to suppress noise in the reconstruction, in comparison with CS and pMRI methods.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129563688","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075564
Imad Lamouik, Ali Yahyaouy, M. A. Sabri
Intersections are not only a scene to daily car accidents (rear-end collisions and side impacts…) but also a big cause for anger and frustration to many drivers, making the driving task difficult and dangerous. In this research, we proposed a smart multi-agent system to coordinate traffic in intersections for autonomous vehicles using reinforced learning and deep neural networks, this system will offer the possibility for a safe and fast passage through intersections without the need for human control.
{"title":"Smart multi-agent traffic coordinator for autonomous vehicles at intersections","authors":"Imad Lamouik, Ali Yahyaouy, M. A. Sabri","doi":"10.1109/ATSIP.2017.8075564","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075564","url":null,"abstract":"Intersections are not only a scene to daily car accidents (rear-end collisions and side impacts…) but also a big cause for anger and frustration to many drivers, making the driving task difficult and dangerous. In this research, we proposed a smart multi-agent system to coordinate traffic in intersections for autonomous vehicles using reinforced learning and deep neural networks, this system will offer the possibility for a safe and fast passage through intersections without the need for human control.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115264800","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075599
M. Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari
This paper deals with ulcer region detection of the small bowel from wireless capsule endoscopy images (WCE). Indeed, joining both texture and color show a great usability, to correctly predict abnormal tissues in WCE images with a higher accuracy and reproducibility. In texture analysis, scale is an important information, we can visualize the same texture as being different textures in many scales. The local binary pattern (LBP) shows it's efficiency as texture operator in many studies. A multi-scale approach based on LBP and Laplacian pyramid transform, is proposed here. This rotation-and-scale invariant method aims to distinguish ulcerous regions from a normal ones, in an efficient way. In addition, the proposed approach was applied on the components of four color spaces : RGB, Lab, HSV and CMY. Ulcer detection, was performed using the support vector machine (SVM) [1]. The results obtained validate the efficacity of our proposed system with average accuracy of 95.61%, an average sensitivity of 97.68% and an average specificity of 94.40%.
{"title":"A fully automated ulcer detection system for wireless capsule endoscopy images","authors":"M. Souaidi, Abdelkaher Ait Abdelouahad, Mohamed El Ansari","doi":"10.1109/ATSIP.2017.8075599","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075599","url":null,"abstract":"This paper deals with ulcer region detection of the small bowel from wireless capsule endoscopy images (WCE). Indeed, joining both texture and color show a great usability, to correctly predict abnormal tissues in WCE images with a higher accuracy and reproducibility. In texture analysis, scale is an important information, we can visualize the same texture as being different textures in many scales. The local binary pattern (LBP) shows it's efficiency as texture operator in many studies. A multi-scale approach based on LBP and Laplacian pyramid transform, is proposed here. This rotation-and-scale invariant method aims to distinguish ulcerous regions from a normal ones, in an efficient way. In addition, the proposed approach was applied on the components of four color spaces : RGB, Lab, HSV and CMY. Ulcer detection, was performed using the support vector machine (SVM) [1]. The results obtained validate the efficacity of our proposed system with average accuracy of 95.61%, an average sensitivity of 97.68% and an average specificity of 94.40%.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115809436","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075549
Asma Elmaizi, M. Merzouqi, E. Sarhrouni, A. Hammouch, C. Nacir
The high dimensionality of hyperspectral images often imposes a heavy computational burden for image processing. Therefore, dimensionality reduction is often an essential step in order to remove the irrelevant, noisy and redundant bands. And consequently increase the classification accuracy. However, identification of useful bands from hundreds or even thousands of related bands is a nontrivial task. This paper aims at identifying a small set of bands, for improving computational speed and prediction accuracy. Hence, we have proposed an hybrid algorithm through band selection for dimensionality reduction of hyperspectral images. The proposed approach combines mutual information gain (MIG), Minimum Redundancy Maximum Relevance (mRMR) and Error probability of Fano with Support Vector Machine bands Elimination (SVM-PF). The proposed approach is compared to an effective reproduced filters approach based on mutual information. Experimental results on HSI AVIRIS 92AV3C have shown that the proposed approach outperforms the reproduced filters.
{"title":"Hybridization of filter and wrapper approaches for the dimensionality reduction and classification of hyperspectral images","authors":"Asma Elmaizi, M. Merzouqi, E. Sarhrouni, A. Hammouch, C. Nacir","doi":"10.1109/ATSIP.2017.8075549","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075549","url":null,"abstract":"The high dimensionality of hyperspectral images often imposes a heavy computational burden for image processing. Therefore, dimensionality reduction is often an essential step in order to remove the irrelevant, noisy and redundant bands. And consequently increase the classification accuracy. However, identification of useful bands from hundreds or even thousands of related bands is a nontrivial task. This paper aims at identifying a small set of bands, for improving computational speed and prediction accuracy. Hence, we have proposed an hybrid algorithm through band selection for dimensionality reduction of hyperspectral images. The proposed approach combines mutual information gain (MIG), Minimum Redundancy Maximum Relevance (mRMR) and Error probability of Fano with Support Vector Machine bands Elimination (SVM-PF). The proposed approach is compared to an effective reproduced filters approach based on mutual information. Experimental results on HSI AVIRIS 92AV3C have shown that the proposed approach outperforms the reproduced filters.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128888348","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075560
Hanan Anzid, Gaëtan Le Goïc, A. Bekkari, A. Mansouri, D. Mammass
The registration of remote sensing images has been often a necessary step for further analyses of images taken at different times, different viewing geometry or with different sensors. For this task there exists many approaches. This paper focuses on the feature-based category of image registration methods. Particularly, we propose an improvement of the SURF algorithm on the point matching step. Indeed, in order to achieve a correct registration, a good matching of feature point is required. However The presence of outliers lead to a fail in the registration. Therefore, in this paper, we introduce an efficient method devoted to the detection and removal of such outliers. It's based on an automatic filtering of outliers based on both distance and orientation between feature points. Images from IKONOS and QuickBird satellites are used to evaluate this proposed method, which we compare to classical SURF as well as SURF followed by RANSAC filtering. The results show that our method outperforms the others regarding all assessment criteria.
{"title":"An automatic filtering algorithm for SURF-based registration of remote sensing images","authors":"Hanan Anzid, Gaëtan Le Goïc, A. Bekkari, A. Mansouri, D. Mammass","doi":"10.1109/ATSIP.2017.8075560","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075560","url":null,"abstract":"The registration of remote sensing images has been often a necessary step for further analyses of images taken at different times, different viewing geometry or with different sensors. For this task there exists many approaches. This paper focuses on the feature-based category of image registration methods. Particularly, we propose an improvement of the SURF algorithm on the point matching step. Indeed, in order to achieve a correct registration, a good matching of feature point is required. However The presence of outliers lead to a fail in the registration. Therefore, in this paper, we introduce an efficient method devoted to the detection and removal of such outliers. It's based on an automatic filtering of outliers based on both distance and orientation between feature points. Images from IKONOS and QuickBird satellites are used to evaluate this proposed method, which we compare to classical SURF as well as SURF followed by RANSAC filtering. The results show that our method outperforms the others regarding all assessment criteria.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422032","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075598
H. Ouazzane, H. Mahersia, K. Hamrouni
In this paper, we extend the use of the Discrete Orthogonal Stockwell Transform (DOST) by introducing a blind reversible and fragile medical image watermarking (MIW) method for image integrity checking. 2D DOST is first applied to the host image, the watermark is inserted in the high frequency coefficients based on the Difference Expansion (DE) technique. The extraction process provides host image retrieval after watermark removal. Experimental results show that the method achieved a high visual quality for marked images resulting in a better compromise between fidelity a nd capacity.
{"title":"Blind lossless medical image watermarking in the DOST domain using difference expansion","authors":"H. Ouazzane, H. Mahersia, K. Hamrouni","doi":"10.1109/ATSIP.2017.8075598","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075598","url":null,"abstract":"In this paper, we extend the use of the Discrete Orthogonal Stockwell Transform (DOST) by introducing a blind reversible and fragile medical image watermarking (MIW) method for image integrity checking. 2D DOST is first applied to the host image, the watermark is inserted in the high frequency coefficients based on the Difference Expansion (DE) technique. The extraction process provides host image retrieval after watermark removal. Experimental results show that the method achieved a high visual quality for marked images resulting in a better compromise between fidelity a nd capacity.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129827582","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 : 2017-05-01DOI: 10.1109/ATSIP.2017.8075531
Khadija Naamane, R. Chaibi, E. Tissir, A. Hmamed
This paper focuses on the problem of stabilization of nonlinear discrete-time systems with actuator saturation. Based on the idea of multiple Lyapunov function (MLF) and slack variables functional terms of the controller design method, the problem of estimating the domain of attraction of T-S fuzzy nonlinear discrete-time systems with actuator saturation under a state feedback law is formulated and solved as Linear Matrix Inequalities (LMIs). An LMI-based optimization problem is then derived for computing the state feedback gains such that the origin of the closed-loop system with actuator saturation is asymptotically stable when starting in a region as large as possible. Numerical example demonstrates the effectiveness of the design method.
{"title":"Stabilization of discrete-time T-S fuzzy systems with saturating actuators","authors":"Khadija Naamane, R. Chaibi, E. Tissir, A. Hmamed","doi":"10.1109/ATSIP.2017.8075531","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075531","url":null,"abstract":"This paper focuses on the problem of stabilization of nonlinear discrete-time systems with actuator saturation. Based on the idea of multiple Lyapunov function (MLF) and slack variables functional terms of the controller design method, the problem of estimating the domain of attraction of T-S fuzzy nonlinear discrete-time systems with actuator saturation under a state feedback law is formulated and solved as Linear Matrix Inequalities (LMIs). An LMI-based optimization problem is then derived for computing the state feedback gains such that the origin of the closed-loop system with actuator saturation is asymptotically stable when starting in a region as large as possible. Numerical example demonstrates the effectiveness of the design method.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124690013","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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