教師著作

Permanent URI for this collectionhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31268

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    Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H-inf. tracking performance
    (IEEE Systems, Man, and Cybernetics Society, 2000-12-01) W.-Y. Wang; M.-L. Chan; T.-T. Lee; C.-H. Liu
    In this paper, an adaptive fuzzy controller for strict-feedback canonical nonlinear systems is proposed. The completely unknown nonlinearities and disturbances of the systems are considered. Since fuzzy logic systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory is employed to derive the control law for the strict-feedback system with unknown nonlinear functions and disturbances. Moreover, H∞ tracking performance is applied to substantially attenuate the effect of the modeling errors and disturbances. Finally, examples are simulated to confirm the applicability of the proposed methods.
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    Development and Verification of Particle Swarm Optimization Integrated with Taguchi Method
    (2011-11-27) Y.-H. Huang; Y.-L. Chen; J.-Y. Chen; W.-Y. Wang; C.-H. Liu
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    Recursive back-stepping design of an adaptive fuzzy controller for strict output feedback nonlinear systems
    (ACA (Asian Control Association) and CACS (Chinese Automatic Control Society)�, 2002-09-01) W.-Y. Wang; M.-L. Chan; T.-T. Lee; C.-H. Liu
    In this paper, a back-stepping adaptive fuzzy controller is proposed for strict output feedback nonlinear systems. The unknown nonlinearity and external disturbances of such systems are considered. We assume that only the output of the system is available for measurement. As a result, two filters are constructed to estimate the states of strict output feedback systems. Since fuzzy systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory combined with a tuning function scheme is developed to derive the control laws of strict output feedback systems that possess unknown functions. Moreover, the H∞ performance condition is introduced to attenuate the effect of the modeling error and external disturbances. Finally, an example is simulated in order to confirm the applicability of the proposed method.