The Experts below are selected from a list of 90963 Experts worldwide ranked by ideXlab platform
Bingyong Tang - One of the best experts on this subject based on the ideXlab platform.
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A Linear Matrix Inequality approach for robust control of systems with delayed states
European Journal of Operational Research, 2000Co-Authors: Chuwang Cheng, Bingyong TangAbstract:Abstract This paper addresses the robust stabilization problem for uncertain systems with delayed states. The parameter uncertainties are unknown but norm-bounded and the delay is time-varying. In this study, a Linear Matrix Inequality (LMI) approach for robust stability analysis for the nominal unforced system and a method for robust stabilization for a class of uncertain delay systems via Linear memoryless state feedback control are presented. The results depend on the size of the delay and are given in terms of Linear Matrix inequalities.
V Singh - One of the best experts on this subject based on the ideXlab platform.
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stability analysis of discrete time systems in a state space realisation with state saturation nonLinearities Linear Matrix Inequality approach
IEE Proceedings - Control Theory and Applications, 2005Co-Authors: V SinghAbstract:A computationally efficient Linear Matrix Inequality (LMI)-based criterion for the global asymptotic stability of discrete-time systems in a state-space realisation with state saturation nonLinearities is presented. The criterion turns out to be an improved generalised version of a previously reported LMI-based criterion. The extension of the approach to a situation involving partial state saturation nonLinearities is performed.
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robust stability of cellular neural networks with delay Linear Matrix Inequality approach
IEE Proceedings - Control Theory and Applications, 2004Co-Authors: V SinghAbstract:A criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a Linear Matrix Inequality.
Zhou Jun - One of the best experts on this subject based on the ideXlab platform.
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H_2 CONTROL FOR SINGULAR SYSTEM BASED ON STRICT Linear Matrix Inequality
Journal of Mathematics, 2009Co-Authors: Zhou JunAbstract:In this article, we concern with the problem of H2 control for continuous singular system. By virtue of strict Linear Matrix Inequality, we derive new bounded real lemma on the basis of the H2 control for continuous singular system that is regular, impulse free, stable and H2 performance.
Driss Mehdi - One of the best experts on this subject based on the ideXlab platform.
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robust state feedback admissibilisation of discrete Linear polytopic descriptor systems a strict Linear Matrix Inequality approach
Iet Control Theory and Applications, 2012Co-Authors: B Sari, Olivier Bachelier, Driss MehdiAbstract:This study deals with strict Linear Matrix Inequality (LMI)-based robust admissibility analysis and robust admissibilisation of a discrete Linear descriptor system associated with pencil ( E , A ). Indeed, the LMI condition for nominal admissibility is Linear with respect to A and also with respect to E . This Linearity in E is an original issue in this study. As a consequence, parameter deflections in the entries of A but also of E can then be easily taken into account owing to polytopic description to derive strict LMI sufficient conditions for robust admissibility and robust state feedback admissibilisation. The possibility to deal with parameter uncertainty on E is one of the main contributions. It is also shown how the proposed condition can go beyond the scope of the descriptor systems and can be used to approach the very challenging problem of the static output feedback stabilisation of discrete non-descriptor models.
Chuwang Cheng - One of the best experts on this subject based on the ideXlab platform.
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A Linear Matrix Inequality approach for robust control of systems with delayed states
European Journal of Operational Research, 2000Co-Authors: Chuwang Cheng, Bingyong TangAbstract:Abstract This paper addresses the robust stabilization problem for uncertain systems with delayed states. The parameter uncertainties are unknown but norm-bounded and the delay is time-varying. In this study, a Linear Matrix Inequality (LMI) approach for robust stability analysis for the nominal unforced system and a method for robust stabilization for a class of uncertain delay systems via Linear memoryless state feedback control are presented. The results depend on the size of the delay and are given in terms of Linear Matrix inequalities.
