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Titlebook: Recent Results on Time-Delay Systems; Analysis and Control Emmanuel Witrant,Emilia Fridman,Luc Dugard Book 2016 Springer International Publ

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Robust Smith Predictor Design for Time-Delay Systems with , Performancetion can be represented by a set of convex constraints with respect to the parameters of a linearly parameterized primary controller in the Smith predictor structure. Therefore, the parameters of the primary controller can be obtained by convex optimization. The proposed method can be applied to sta
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Dynamic Games for Markov Jump Stochastic Delay Systemsderived respectively based on the Karush-Kuhn-Tucker (KKT) conditions. Furthermore, it is shown that the state feedback strategies can be obtained by iteratively solving linear matrix inequalities (LMIs). Finally, a modified practical numerical example is given to demonstrate the validity and potential of the proposed numerical method.
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Robust Smith Predictor Design for Time-Delay Systems with , Performance can be extended to unstable SISO models. The design of robust gain-scheduled dead-time compensators is also investigated. The performance of the method is illustrated for both SISO and MIMO systems by simulation examples.
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Book 2016elay Systems, which took place in Grenoble, France, February 4 - 6, 2013.  During this event, 37 papers were presented. Taking into account the reviewers‘ evaluation and the papers‘ presentation the best papers have been selected and collected into the present volume. The authors of 13 selected pape
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Design, Analysis and Implementation of Smoothed Input Shapers with Distributed Delay sper zeros. Next, the robustness and implementation issues of the shapers are discussed. In the analysis performed, the novel shapers show better spectral, step response and robustness features compared to the classical ZV shaper. An experimental example is included to demonstrate the performance of the novel shapers.
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Regional Stabilization of Systems with Input Delay and Actuator Saturation Revisitedalysis. The analysis of the first time-interval is important for nonlinear systems e.g. for finding the domain of attraction. Regional stabilization of a linear (probably, uncertain) system with unknown and bounded input delay under actuator saturation is revisited.
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