Brief paper: Passivity-based sliding mode control of uncertain singular time-delay systems
Automatica (Journal of IFAC)
Robust passive control for uncertain time-delay singular systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Control of robotic manipulators with input/output delays
ACC'09 Proceedings of the 2009 conference on American Control Conference
Robust passivity and passification of stochastic fuzzy time-delay systems
Information Sciences: an International Journal
On passivity and passification of stochastic fuzzy systems with delays: the discrete-time case
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Passive control of uncertain multiple input-delayed systems using reduction method
Mathematics and Computers in Simulation
Passivity analysis and passive control of fuzzy systems with time-varying delays
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Passivity and stability of switched systems under quantization
Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control
Integral quadratic constraint approach vs. multiplier approach
Automatica (Journal of IFAC)
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The problem of passivity analysis finds important applications in many signal processing systems such as digital quantizers, decision feedback equalizers, and digital and analog filters. Equally important is the problem of passification, where a compensator needs to be designed for a given system to become passive. This paper considers these two problems for a large class of systems that involve uncertain parameters, time delays, quantization errors, and unmodeled high-order dynamics. By characterizing these and many other types of uncertainty using a general tool called integral quadratic constraints (IQCs), we present solutions to the problems of robust passivity analysis and robust passification. More specifically, for the analysis problem, we determine if a given uncertain system is passive for all admissible uncertainty satisfying the IQCs. Similarly, for the problem of robust passification, we are concerned with finding a loop transformation such that a particular part of the uncertain signal processing system becomes passive for all admissible uncertainty. The solutions are given in terms of the feasibility of one or more linear matrix inequalities (LMIs), which can be solved efficiently