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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...
A new second order sliding modes type-2 fuzzy controller for nonlinear uncertain perturbed systems is developed in this paper. To overcome the constraint on the knowledge of the system model, local models related to some operating points were used to synthesize a type-2 nominal fuzzy global model. For sliding modes, two adaptive fuzzy type-2 systems have been introduced to generate the two super twisting...
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,...
The issue of observer-based robust passive fuzzy controller design is discussed and investigated in this paper for uncertain stochastic Takagi-Sugeno (T-S) fuzzy model with external disturbance. For describing the stochastic behaviors of system, the stochastic differential equation is used to structure the stochastic T-S fuzzy model for representing the nonlinear stochastic systems. Using the Lyapunov...
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,...
This paper is presented to investigate the validity of designing a discreet controller of feed- forward and feedback structure which may be used to improve the dynamic performance of either linear or nonlinear systems. By transforming the continuous plant as well as transforming the associated controller to the discreet domain with including all parameters changes and their influence for closed loop...
This study presents an H-infinite controller design for time-delay Takagi-Sugeno (T-S) fuzzy systems based on the fuzzy Lyapunov method, which is defined in terms of fuzzy blending quadratic Lyapunov functions. The delay-dependent robust stability criterion is derived in terms of the fuzzy Lyapunov method to guarantee the stability of time-delay T-S fuzzy systems subjected to disturbances. Based on...
This paper presents a robust fuzzy control method, combining affine Takagi-Sugeno (T-S) fuzzy models and Hinfin performance constraints, for stability analysis and controller design of an inverted pendulum robot to simulate human stance. The inverted pendulum robot proposes that it is beneficial for the stance leg to behave like a pendulum. As mentioned above, in this paper, the T-S fuzzy model is...
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