A new compensation for fuzzy static output-feedback control of nonlinear networked discrete-time systems
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文摘

Differently from existing results with the common quadratic Lyapunov function, the fuzzy membership function dependent Lyapunov function is adopted to derive the main results, which may facilitate achieving less conservative Results.

A novel data compensation model is proposed, in which a compensation gain is designed to regulate the compensated data for the successive data loss case. With such model, the effect of imperfect communication network can be decreased effectively.

The single-step linear matrix inequality method is borrowed to derive the static output-feedback controller design criteria, which is helpful to obtain less conservative results.

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