Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5471113 | Applied Mathematical Modelling | 2017 | 25 Pages |
Abstract
This paper studies the robust and resilient finite-time Hâ control problem for uncertain discrete-time nonlinear systems with Markovian jump parameters. With the help of linear matrix inequalities and stochastic analysis techniques, the criteria concerning stochastic finite-time boundedness and stochastic Hâ finite-time boundedness are initially established for the nonlinear stochastic model. We then turn to stochastic finite-time controller analysis and design to guarantee that the stochastic model is stochastically Hâ finite-time bounded by employing matrix decomposition method. Applying resilient control schemes, the resilient and robust finite-time controllers are further designed to ensure stochastic Hâ finite-time boundedness of the derived stochastic nonlinear systems. Moreover, the results concerning stochastic finite-time stability and stochastic finite-time boundedness are addressed. All derived criteria are expressed in terms of linear matrix inequalities, which can be solved by utilizing the available convex optimal method. Finally, the validity of obtained methods is illustrated by numerical examples.
Related Topics
Physical Sciences and Engineering
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Authors
Yingqi Zhang, Yan Shi, Peng Shi,