Non-fragile dissipative filtering for 2-D switched systems
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Publication:2411434
DOI10.1016/j.jfranklin.2017.07.021zbMath1373.93352OpenAlexW2736679616MaRDI QIDQ2411434
Zhaowen Xu, Zheng-Guang Wu, Ren-Quan Lu, Hong-Ye Su
Publication date: 24 October 2017
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.07.021
convex optimizationstochastic processRoesser modelnon-fragile dissipative filtering problemtwo-dimensional (2-D) switched systems
Filtering in stochastic control theory (93E11) Convex programming (90C25) Estimation and detection in stochastic control theory (93E10) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)
Related Items (11)
Non-fragile finite-time extended dissipative control for a class of uncertain discrete time switched linear systems ⋮ Prediction-based approach to stabilization of 2-D continuous-time Roesser systems with directional input delays ⋮ Reliable H∞ control for 2‐D discrete switched systems with state delays and actuator failures ⋮ Output tracking control for 2‐D discrete systems with actuator failures ⋮ Efficiency analysis of a filtering algorithm for discrete-time linear stochastic systems with polynomial measurements ⋮ Dissipative control of 2‐D discrete‐time switched systems via a point‐dependent convex storage function ⋮ Finite-region boundedness and \((\mathcal{Q,S,R})\)-dissipativity of 2-D singular Roesser systems with mixed time-varying delays ⋮ Observer-based finite-region dissipative control for 2-D continuous-discrete systems over networks ⋮ New finite-time stability conditions of linear discrete switched singular systems with finite-time unstable subsystems ⋮ Extended dissipative estimator design for uncertain switched delayed neural networks via a novel triple integral inequality ⋮ State and output feedback local control schemes for nonlinear discrete-time 2-D Roesser systems under saturation, quantization and slope restricted input
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