Resilient filter of nonlinear network systems with dynamic event-triggered mechanism and hybrid cyber attack

Finite-time l2-l∞ filtering for persistent dwell-time switched piecewise-affine systems against deception attacks

The Markov jump systems (MJSs) are a special case of parametric switching system. However, we know that time delay inevitably exists in many practical systems, and is known as the main source of efficiency reduction, and even instability. In this paper, the stochastic stable control design is discussed for time delay MJSs. In this regard, first, the problem of modeling of MJSs and their stability analysis using Lyapunov-Krasovsky functions is studied. Then, a state-feedback controller (SFC) is designed and its stability is proved on the basis of the Lyapunov theorem and linear matrix inequalities (LMIs), in the presence of polytopic uncertainties and time delays. Finally, by various simulations, the accuracy and efficiency of the proposed methods for robust stabilization of MJSs are demonstrated.

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Automatic Control for Time Delay Markov Jump Systems under Polytopic Uncertainties

Azim Tadjibaev

Papers

Observer-based l2−l∞ control for singularly perturbed semi-Markov jump systems with an improved weighted TOD protocol

Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems

Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems

Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques

Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques