nonfragile gain-scheduled control for discrete-time stochastic systems with randomly occurring sensor saturations
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2013
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Abstract
This paper is devoted to tackling the control problem for a class of discrete-time stochastic systems with randomly occurring sensor saturations. The considered sensor saturation phenomenon is assumed to occur in a random way
based on the time-varying Bernoulli distribution with measurable probability in real time. The aim of the paper is to design a nonfragile gain-scheduled controller with probability-dependent gains which can be achieved by solving a convex optimization problem via semidefinite programming method. Subsequently, a new kind of probability-dependent Lyapunov functional is proposed in order to derive the controller with less conservatism. Finally, an illustrative example will demonstrate the effectiveness of our designed procedures.
| Reference Key |
li2013abstractnonfragile
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|---|---|
| Authors | ;Wangyan Li;Guoliang Wei;Hamid Reza Karimi;Xiaohui Liu |
| Journal | science and technology of advanced materials |
| Year | 2013 |
| DOI |
10.1155/2013/629621
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| URL | |
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