Guaranteed cost tracking control for uncertain T-S fuzzy systems
2017
A class of nonlinear systems with external disturbances and noise are studied, where the state of the system cannot be measured. A controller is designed by using the estimated state with an observer such that the states of the closed-loop system track the states of a given reference model, and meet a given H performance, at the same time attenuate disturbance and satisfy a guaranteed cost upper bound J∗ c . Finally, a simulation example is given to verify the effectiveness of the proposed theory.
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