Brief paper: Sampled-data control of networked linear control systems
Automatica (Journal of IFAC)
Brief paper: A refined input delay approach to sampled-data control
Automatica (Journal of IFAC)
Stability analysis of networked control systems with quantized feedback
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Reliable guaranteed cost sampling control for nonlinear time-delay systems
Mathematics and Computers in Simulation
Technical communique: Robust sampled-data control for Markovian jump linear systems
Automatica (Journal of IFAC)
Intelligent digital control for nonlinear systems with multirate sampling
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Controller synthesis on non-uniform and uncertain discrete–time domains
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
Technical Communique: Robust sampled-data stabilization of linear systems: an input delay approach
Automatica (Journal of IFAC)
Random stabilization of sampled-data control systems with nonuniform sampling
International Journal of Automation and Computing
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In this paper, we consider the H2 sampled-data control for uncertain linear systems by the impulse response interpretation of the H2 norm. Two H2 measures for sampled-data systems are considered. The robust optimal control procedures subject to these two H2 criteria are proposed. The development is primarily concerned with a multirate treatment in which a periodic time-varying robust optimal control for uncertain linear systems is presented. To facilitate multirate control design, a new result of stability of hybrid system is established. Moreover, the single-rate case is also obtained as a special case. The sampling period is explicitly involved in the result which is superior to traditional methods. The solution procedures proposed in this paper are formulated as an optimization problem subject to linear matrix inequalities. Finally, we present a numerical example to demonstrate the proposed techniques.