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- W10792016 abstract "Publisher Summary This chapter presents adaptive tracking control architecture for a class of continuous-time nonlinear dynamic systems for which an explicit linear parameterization of the uncertainty in the dynamics is either unknown or impossible. Fuzzy logic control is one of the most useful approaches for utilizing expert knowledge. The chapter examines the mathematical structure of the control problem and the form of conventional adaptive solutions. The developed controller is capable of incorporating fuzzy IF-THEN rules into the controller and guarantees the global stability of the resulting closed-loop system in the sense that all signals involved are uniformly bounded. The chapter exploits the fuzzy systems to develop adaptive control algorithms for the systems. The chapter illustrates an example that shows that incorporating the linguistic fuzzy information into controllers clearly results in superior tracking performance. Therefore, the proposed control method provides a tool for making use of the fuzzy information in a systematic and efficient manner." @default.
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- W10792016 date "1999-01-01" @default.
- W10792016 modified "2023-09-27" @default.
- W10792016 title "Fuzzy Adaptive Control Techniques for Nonlinear Systems and Their Application" @default.
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- W10792016 doi "https://doi.org/10.1016/b978-012443870-5.50031-9" @default.
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