Pub Date : 2018-10-01DOI: 10.1109/ICOSC.2018.8587629
Mohamed Abyad, A. Karama, Abdelmounaim Khallouq
This paper addresses trajectory tracking and active Fault Tolerant Control (FTC) of a nonlinear biological process affected by actuators faults. The nonlinear biological process transformed to a fuzzy Takagi-Sugeno (T-S) model, then a nominal control based on the optimal Linear Quadratic Integral (LQI) is synthesized for ensuring the trajectory tracking. To build the active fault tolerant control, a Proportional Integral Observer (PIO) is proposed to estimate simultaneously the actuators faults and states, the estimated faults used to reconfigure the nominal control. the new conditions of convergence to increase the fault compensation speed are proposed, which based on multiple Lyapunov functions. The proposed method is applied to the bacterial growth process and their efficiency is demonstrated via simulations.
{"title":"Fault-Tolerant Tracking Control for a Biological Process: Multiple Lyapunov Functions Approach","authors":"Mohamed Abyad, A. Karama, Abdelmounaim Khallouq","doi":"10.1109/ICOSC.2018.8587629","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587629","url":null,"abstract":"This paper addresses trajectory tracking and active Fault Tolerant Control (FTC) of a nonlinear biological process affected by actuators faults. The nonlinear biological process transformed to a fuzzy Takagi-Sugeno (T-S) model, then a nominal control based on the optimal Linear Quadratic Integral (LQI) is synthesized for ensuring the trajectory tracking. To build the active fault tolerant control, a Proportional Integral Observer (PIO) is proposed to estimate simultaneously the actuators faults and states, the estimated faults used to reconfigure the nominal control. the new conditions of convergence to increase the fault compensation speed are proposed, which based on multiple Lyapunov functions. The proposed method is applied to the bacterial growth process and their efficiency is demonstrated via simulations.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122014315","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587636
M. Mokhtari, Mouad Kahouadji, A. Choukchou-Braham, B. Cherki
This paper presents an original control strategy based on the Extended State Observer -ESO- position and orientation control problem of a small rotorcraft Unmanned Aerial Vehicle subjected to unknown aerodynamic efforts. A hierarchical control approach is applied to separate the flight control problem into translational and rotational controllers based on the time-scale property of each subsystem. An Extended State Observer -ESO- is used to estimate the state and the unknown aerodynamic disturbances. Closed loop stability of the system is established. Numerical simulations are carried out and results are presented to demonstrate efficiency of the proposed control strategy.
{"title":"Extended State Observer Based Hierarchical Control for quadrotor UAV","authors":"M. Mokhtari, Mouad Kahouadji, A. Choukchou-Braham, B. Cherki","doi":"10.1109/ICOSC.2018.8587636","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587636","url":null,"abstract":"This paper presents an original control strategy based on the Extended State Observer -ESO- position and orientation control problem of a small rotorcraft Unmanned Aerial Vehicle subjected to unknown aerodynamic efforts. A hierarchical control approach is applied to separate the flight control problem into translational and rotational controllers based on the time-scale property of each subsystem. An Extended State Observer -ESO- is used to estimate the state and the unknown aerodynamic disturbances. Closed loop stability of the system is established. Numerical simulations are carried out and results are presented to demonstrate efficiency of the proposed control strategy.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121594144","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587781
Pushpendra Kumar, Ismail Bensekrane, Manarshhjot Singh, R. Merzouki
This paper presents a method for estimation of power consumption of a non-holonomic Wheeled Mobile Robot (WMR) using a graphical modeling approach called bond graph. The considered WMR is an over-actuated four wheeled robot and can have different driving modes based on its steering scheme. Therefore, the main contribution of this paper is to develop a model for the power consumption estimation considering three driving modes of the robot namely, skid, front, and dual steering. The model is validated through simulation and experiment.
{"title":"Bond Graph based Power Consumption Estimation of a Non-holonomic Wheeled Mobile Robot with Multiple Driving Modes","authors":"Pushpendra Kumar, Ismail Bensekrane, Manarshhjot Singh, R. Merzouki","doi":"10.1109/ICOSC.2018.8587781","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587781","url":null,"abstract":"This paper presents a method for estimation of power consumption of a non-holonomic Wheeled Mobile Robot (WMR) using a graphical modeling approach called bond graph. The considered WMR is an over-actuated four wheeled robot and can have different driving modes based on its steering scheme. Therefore, the main contribution of this paper is to develop a model for the power consumption estimation considering three driving modes of the robot namely, skid, front, and dual steering. The model is validated through simulation and experiment.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122108872","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587771
Cristian Miron, S. Olteanu, N. Christov, A. Aitouche
The purpose of the paper is to present an architecture of an embedded solution for system supervision of distributed renewable power systems. This work is a first step towards an IoT solution, appropriate for small power, but spread renewable energy solutions as in smart residences. The OPC protocol is chosen as the most suitable solution for long distance communication, whereas serial communication is employed for short distances. The OPC server/client platform is microprocessor based, while the generators are controlled through microcontrollers that interact through serial communication with local OPC nodes. The microcontrollers can provide the supervisor with different parameters, such as voltage, current, control value, but can also receive parameters, such as the set point of the generated power, solar irradiation, temperature. The multiplatform capabilities of the python language are considered. A validation is realized via Arduino boards as local controllers for the generators and Raspberry Pi boards as OPC server/clients and a global supervisor is developed in Matlab. The solution is interesting as it gives a strong modularity and easy access to portable solutions on the ground.
{"title":"Architecture for Embedded Supervisory System of Distributed Renewable Energy Sources","authors":"Cristian Miron, S. Olteanu, N. Christov, A. Aitouche","doi":"10.1109/ICOSC.2018.8587771","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587771","url":null,"abstract":"The purpose of the paper is to present an architecture of an embedded solution for system supervision of distributed renewable power systems. This work is a first step towards an IoT solution, appropriate for small power, but spread renewable energy solutions as in smart residences. The OPC protocol is chosen as the most suitable solution for long distance communication, whereas serial communication is employed for short distances. The OPC server/client platform is microprocessor based, while the generators are controlled through microcontrollers that interact through serial communication with local OPC nodes. The microcontrollers can provide the supervisor with different parameters, such as voltage, current, control value, but can also receive parameters, such as the set point of the generated power, solar irradiation, temperature. The multiplatform capabilities of the python language are considered. A validation is realized via Arduino boards as local controllers for the generators and Raspberry Pi boards as OPC server/clients and a global supervisor is developed in Matlab. The solution is interesting as it gives a strong modularity and easy access to portable solutions on the ground.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123197918","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587844
D. Fereka, M. Zerikat, A. Belaidi
This paper is focussed on a MRAS sensorless speed control based on hybrid fuzzy-sliding mode control strategy associated with the field-oriented control of induction motor drives. In order to improve the performance of the speed sensorless vector controlled induction motor drives, an hybrid is included. The analysis, design of the MRAS sensorless control based on fuzzy-sliding mode controller for indirect vector control of induction motor are analyzed and presented. The model is carried out using Matlab/Simulink software. The main advantages of the proposed chattering-free speed controller are robustness to parameter variations and load changes. The results are shown to verify the effectiveness of the proposed speed controller and its advantages are shown in comparison with the conventional SMC and Fuzzy Sliding Mode Controller FSMC.
{"title":"MRAS Sensorless Speed Control of an Induction Motor Drive based on Fuzzy Sliding Mode Control","authors":"D. Fereka, M. Zerikat, A. Belaidi","doi":"10.1109/ICOSC.2018.8587844","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587844","url":null,"abstract":"This paper is focussed on a MRAS sensorless speed control based on hybrid fuzzy-sliding mode control strategy associated with the field-oriented control of induction motor drives. In order to improve the performance of the speed sensorless vector controlled induction motor drives, an hybrid is included. The analysis, design of the MRAS sensorless control based on fuzzy-sliding mode controller for indirect vector control of induction motor are analyzed and presented. The model is carried out using Matlab/Simulink software. The main advantages of the proposed chattering-free speed controller are robustness to parameter variations and load changes. The results are shown to verify the effectiveness of the proposed speed controller and its advantages are shown in comparison with the conventional SMC and Fuzzy Sliding Mode Controller FSMC.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122323932","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587832
M. Bahloul, J. Gaubert, D. Mehdi, S. Khadem
In this paper, design of a nonlinear controller for grid connected bidirectional converter is presented. A backstepping sliding mode (BS-SM) approach is used, and two control algorithms are proposed. The first one uses a classical design approach. However, the second BS-SM controller design relies on an accurate Lyapunov stability analysis. Simulation studies are presented while considering in the first step, the nominal parameters of the system, and in the second step, variations or uncertainties that can impact the inductance of the RL filter. The analysis outcome shows the superiority and the robustness of the second proposed BS-SM controller to deal with transients and to guarantee a better performance of the proposed controller under different operating conditions.
{"title":"Design of Backstepping-Sliding Mode Controller for a Bidirectional Grid Connected DC/AC Converter","authors":"M. Bahloul, J. Gaubert, D. Mehdi, S. Khadem","doi":"10.1109/ICOSC.2018.8587832","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587832","url":null,"abstract":"In this paper, design of a nonlinear controller for grid connected bidirectional converter is presented. A backstepping sliding mode (BS-SM) approach is used, and two control algorithms are proposed. The first one uses a classical design approach. However, the second BS-SM controller design relies on an accurate Lyapunov stability analysis. Simulation studies are presented while considering in the first step, the nominal parameters of the system, and in the second step, variations or uncertainties that can impact the inductance of the RL filter. The analysis outcome shows the superiority and the robustness of the second proposed BS-SM controller to deal with transients and to guarantee a better performance of the proposed controller under different operating conditions.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132596030","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587778
Shanzhi Li, Haoping Wang, A. Aitouche, N. Christov
This paper proposes a sensor and actuator estimation algorithm based on linear parameter varying (LPV) model. Considering sensor noise and disturbance, an unknown input observer (UIO) is developed. In this scheme, by building an augmented system with a filter, sensor fault and noise of the original system become into a part of actuator fault and disturbance. According to this augmented system, an UIO and fault estimation method have been designed. Then, by solving the linear matrix equalities (LMEs) and the linear matrix inequalities (LMIs), the parameters of the UIO are obtained. In addition, we analyze the convergence of the observer. In order to verify the proposed method, a wind turbine system with torque actuator fault and pitch angle sensor fault has been tested. From simulation results, it presents an efficient performance on both state and fault estimation.
{"title":"Unknown input observer design for faults estimation using linear parameter varying model. Application to wind turbine systems","authors":"Shanzhi Li, Haoping Wang, A. Aitouche, N. Christov","doi":"10.1109/ICOSC.2018.8587778","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587778","url":null,"abstract":"This paper proposes a sensor and actuator estimation algorithm based on linear parameter varying (LPV) model. Considering sensor noise and disturbance, an unknown input observer (UIO) is developed. In this scheme, by building an augmented system with a filter, sensor fault and noise of the original system become into a part of actuator fault and disturbance. According to this augmented system, an UIO and fault estimation method have been designed. Then, by solving the linear matrix equalities (LMEs) and the linear matrix inequalities (LMIs), the parameters of the UIO are obtained. In addition, we analyze the convergence of the observer. In order to verify the proposed method, a wind turbine system with torque actuator fault and pitch angle sensor fault has been tested. From simulation results, it presents an efficient performance on both state and fault estimation.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130813413","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587773
Tawfik Radjai, J. Gaubert, L. Rahmani
In this paper, a new maximum power point tracking MPPT algorithm is proposed to track the global maximum point (GMPP) under partial shading conditions (PSC). The proposed algorithm can track the real GMPP under any PSC patterns and under any weather conditions with improving the tracking speed and reducing the PV output power oscillations at the steady state. The proposed algorithm is simple and easy to implement, because additional sensors or electrical switches are not required to identify the GMPP. The idea of the proposed method is based mainly on the scanning of the PV curve with a variable step of the duty cycle from zero to one. The scan step will be small when the operating point is near the MPP, otherwise, the scan step will be large to skip the regions that do not need to be scanned on the PV curve. Therefore, the scan time will be reduced and the MPPs are accurately detected. Furthermore, the algorithm stores only one MPP during the scanning process, stores only the data position of the greatest maximum power of the PV curve in each sample time Ts. Therefore, the execution of the embedded program in the calculator is optimized. In order to maintain the operating point at the GMPP after the scanning is finished a simple proposed sub-program will be used. In this work, a controlled Cuk DC–DC converter was used and connected to a Kyocera KC50T PV panel to verify the performance of the proposed method. Matlab/Simulink™ was used for the simulation studies.
{"title":"A New Maximum Power Point Tracking Algorithm For Partial Shaded Photovoltaic Systems","authors":"Tawfik Radjai, J. Gaubert, L. Rahmani","doi":"10.1109/ICOSC.2018.8587773","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587773","url":null,"abstract":"In this paper, a new maximum power point tracking MPPT algorithm is proposed to track the global maximum point (GMPP) under partial shading conditions (PSC). The proposed algorithm can track the real GMPP under any PSC patterns and under any weather conditions with improving the tracking speed and reducing the PV output power oscillations at the steady state. The proposed algorithm is simple and easy to implement, because additional sensors or electrical switches are not required to identify the GMPP. The idea of the proposed method is based mainly on the scanning of the PV curve with a variable step of the duty cycle from zero to one. The scan step will be small when the operating point is near the MPP, otherwise, the scan step will be large to skip the regions that do not need to be scanned on the PV curve. Therefore, the scan time will be reduced and the MPPs are accurately detected. Furthermore, the algorithm stores only one MPP during the scanning process, stores only the data position of the greatest maximum power of the PV curve in each sample time Ts. Therefore, the execution of the embedded program in the calculator is optimized. In order to maintain the operating point at the GMPP after the scanning is finished a simple proposed sub-program will be used. In this work, a controlled Cuk DC–DC converter was used and connected to a Kyocera KC50T PV panel to verify the performance of the proposed method. Matlab/Simulink™ was used for the simulation studies.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379467","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587799
T. Nestorović, A. Oveisi
Controller design, as an integral step in the overall design of smart structures, plays a crucial role in active vibration suppression. Whereas well established control techniques like optimal LQG or PID controllers may perform well under assumption of the linear structural behavior, which can be described with sufficient accuracy by an LTI model, control task becomes much more complex in the presence of nonlinearities and uncertainties. In this paper we propose a feedback controller based on the recurrent wavelet neural network (RWNN) which is designed and trained to track the states of an ideal state-feedback controller, designed for the underlying linear model of the plant. In addition, adaptive neural network observer is designed to estimate the unnknown model dynamics associated with the nominal LTI model of the plant. Real time implementation of the proposed controller is realized on a Hardware-in-the-Loop setup with a flexible clamped-free beam and dSPACE system and tested for disturbance rejection tasks through a worst-case study in the presence of disturbances which cause resonant states.
{"title":"Advanced Disturbance Rejection Control of Smart Flexible Structures","authors":"T. Nestorović, A. Oveisi","doi":"10.1109/ICOSC.2018.8587799","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587799","url":null,"abstract":"Controller design, as an integral step in the overall design of smart structures, plays a crucial role in active vibration suppression. Whereas well established control techniques like optimal LQG or PID controllers may perform well under assumption of the linear structural behavior, which can be described with sufficient accuracy by an LTI model, control task becomes much more complex in the presence of nonlinearities and uncertainties. In this paper we propose a feedback controller based on the recurrent wavelet neural network (RWNN) which is designed and trained to track the states of an ideal state-feedback controller, designed for the underlying linear model of the plant. In addition, adaptive neural network observer is designed to estimate the unnknown model dynamics associated with the nominal LTI model of the plant. Real time implementation of the proposed controller is realized on a Hardware-in-the-Loop setup with a flexible clamped-free beam and dSPACE system and tested for disturbance rejection tasks through a worst-case study in the presence of disturbances which cause resonant states.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"521 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130177356","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 : 2018-10-01DOI: 10.1109/ICOSC.2018.8587622
N. Gasmi, M. Boutayeb, A. Thabet, M. Aoun
This paper focuses on the ℋ∞ observer design for Lipschitz discrete-time nonlinear systems. The main idea consists in using previous measurements in a Luenberger observer through a sliding window to obtain less restrictive constraint. Reformulations of both Lipschitz property and Young’s relation are used to offer greater degree of freedom to the obtained constraint. The presented result is in the form of BMI (Bilinear Matrix Inequality) which is transformed into LMI (Linear Matrix Inequality) through an interesting approach. The resulting constraint can be easily achieved with standard software algorithms. Then, to prove the superiority of the proposed design methodology, a comparison with the classical case is presented. Numerical examples are given to illustrate the effectiveness and the high performances of the proposed filter.
{"title":"ℋ∞ Sliding Window Observer Design for Lipschitz Discrete-Time Systems","authors":"N. Gasmi, M. Boutayeb, A. Thabet, M. Aoun","doi":"10.1109/ICOSC.2018.8587622","DOIUrl":"https://doi.org/10.1109/ICOSC.2018.8587622","url":null,"abstract":"This paper focuses on the ℋ∞ observer design for Lipschitz discrete-time nonlinear systems. The main idea consists in using previous measurements in a Luenberger observer through a sliding window to obtain less restrictive constraint. Reformulations of both Lipschitz property and Young’s relation are used to offer greater degree of freedom to the obtained constraint. The presented result is in the form of BMI (Bilinear Matrix Inequality) which is transformed into LMI (Linear Matrix Inequality) through an interesting approach. The resulting constraint can be easily achieved with standard software algorithms. Then, to prove the superiority of the proposed design methodology, a comparison with the classical case is presented. Numerical examples are given to illustrate the effectiveness and the high performances of the proposed filter.","PeriodicalId":153985,"journal":{"name":"2018 7th International Conference on Systems and Control (ICSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131779433","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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