Sampled-parameter dependent stabilization for linear parameter varying systems with asynchronous parameter sampling

초록

In this paper, we propose a new sampled-data stabilization method for linear parameter-varying (LPV) systems with asynchronous parameter sampling. A sampled-parameter-dependent controller is designed by considering the sampling of parameters as well as that of states. Based on a newly proposed sampled-parameter-dependent looped-functional (SPDLF), a relaxed linear matrix inequality (LMI) condition in the parameterized stabilization criteria is derived by considering the deviation bound between the continuous-time parameter of the plant and the sampled parameter. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed method.

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