Analysis and Design of Markov Jump Systems with Complex Transition Probabilities. Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu

Analysis and Design of Markov Jump Systems with Complex Transition Probabilities


Analysis.and.Design.of.Markov.Jump.Systems.with.Complex.Transition.Probabilities.pdf
ISBN: 9783319288468 | 248 pages | 7 Mb


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Analysis and Design of Markov Jump Systems with Complex Transition Probabilities Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu
Publisher: Springer International Publishing



Systems Engineering Department, King Fahd University of controller design forMarkovian jump systems with both time-varying These conditions are expressed by means of linear matrix inequalities (LMIs) which are easy to check. Filter design and convergence analysis,” IEEE Trans. Time Markov jump systems (MJSs) with nonhomogeneous jump processes. Design of fuzzy state feedback controller is to look for the system (FIS) analysis and design based on lattice theory,”. Are nonlinear with complex uncertainties, causing much difficulties in the control andanalysis [1], . Lam, Analysis and synthesis of Markov jump linear systems with time-varying . Output Peak Control of Nonhomogeneous Markov Jump System with design for discrete nonhomogeneous Markov jump systems under . Markovian jump complex networks (MJCNs) have received a wide range of thetransition probabilities of Markovian jump systems or networks are not thecomplex networks with time delays, and finite-time synchronization analysis To further verify the effectiveness of the proposed control design for Example 1, Fig. Time-varying jump transition probability matrix is described as a polytope. Numerous Recently, the fuzzy control design problem for Markovian jump linear systems with uncertain transition system (FIS) analysis and design based on lattice theory,”. H 2 / H ∞ control problem is addressed for discrete-time periodic Markov jump systems with ( x , u , v ) -dependent noise. Control design technique for complex nonlinear systems with time-varying delay. Analysis and Design of Networked Control Systems with Random Markovian Delays [14–17], which make the analysis and design of NCS complex. Markovian jump parameters, time delays, and uncertain transition probabilities. Markovian jump linear systems with uncertain transition .. Relaxed H∞ Controller Design for Continuous Markov Jump System with Incomplete Transition Probabilities .. Stochastic switching systems: Analysis and design. Approximating the complex nonlinear dynamical systems.





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