Cascaded centralized TSK fuzzy system: universal approximator and high interpretation
Applied Soft Computing
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
A new scaling kernel-based fuzzy system with low computational complexity
CSR'06 Proceedings of the First international computer science conference on Theory and Applications
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In this paper, an adaptive fuzzy control scheme for tracking a class of continuous-time plants is presented. A parameterized Sugeno fuzzy approximator is used to adaptively compensate for the plant nonlinearities. All parameters in the fuzzy approximator are tuned using a Lyapunov-based design. In the fuzzy approximator, first-order Sugeno consequents are used in the IF-THEN rules of the fuzzy system, which has a better approximation capability than those using constant consequents. Global boundedness of the adaptive system is established. Finally, a simulation is used to demonstrate the effectiveness of the proposed controller