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Inverted pendulum system is a typical rapid, multivariable, nonlinear, absolute instability and non-minimum phase system, and it is a favorite problem in the field of control theory and application. In its control, the current main control method includes in fuzzy control, variable structure control and robust control etc. For fuzzy control of a double inverted pendulum, the research is focused on...
In this paper, a fuzzy nonlinear ripple-free regulator is proposed to solve the sample-data structurally stable regulation problem for the case of nonlinear or generalized immersion. This regulator guarantees asymptotic tracking of time-varying references and rejection of disturbances while maintaining the closed-loop stability. Such a regulator is based on a continuous fuzzy error feedback controller,...
A direct adaptive fuzzy predictive control method is presented for attitude tracking of satellites with model uncertainty and external disturbances in this paper. Firstly, a nonlinear predictive control law for general mechanical systems is derived. Then, the error in predictive control law from system model uncertainties are approximated and compensated by constructed adaptive fuzzy logic systems,...
In our earlier study, the property of L2-gain robust control is incorporated into the direct adaptive fuzzy control design with the use of the compensative controller. The tracking control performance is guaranteed. In the study, we further employ the L2-gain property to improve the adaptive law design. Due to the L2-gain control property, the approximate error of the fuzzy system is estimable, and...
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