Output Tracking Control Scheme Research Articles

Direct adaptive fuzzy output tracking control of nonlinear systems

A stable direct adaptive fuzzy output tracking control scheme is developed for the single-input–single-output (SISO) unknown nonlinear systems. Using a high-gain observer, the proposed adaptive fuzzy algorithm does not require the state variables to be measurable. First, a direct adaptive fuzzy state controller is constructed with the aid of its H ∞ control technique to achieve the H ∞ tracking performance. Afterwards, a high-gain observer is used to estimate the system states, by which the above adaptive fuzzy state controller becomes an adaptive fuzzy output feedback control. The proposed control scheme can guarantee the stability of the closed-loop system and the good tracking performance as well.

Fuzzy adaptive output tracking control of nonlinear systems

In this paper, a stable adaptive fuzzy output tracking control scheme is developed for a single-input–single-output unknown nonlinear system which can be represented globally by an input–output model. The main characteristics of the proposed adaptive fuzzy control are (i) it does not need the assumption that all the states of the system are available for full feedback, but introduces a high gain observer to estimate them. (ii) It is composed of a robust control term and an equivalence fuzzy control so that it not only ensures the stability of closed-loop system, but also attenuates the effect of fuzzy approximation error on the tracking error of the system to arbitrary small level. (iii) It is proved that the designed output feedback adaptive fuzzy control can recover the performance achieved under the state feedback controller.

Decentralized output tracking of a class of nonlinear interconnected systems with similar structure via sliding mode technique

This paper addresses the robust output tracking problem for a class of non-linear interconnected systems with similar structure A robust decentralized control scheme for output tracking of a class of nonlinear interconnected system is proposed. It is shown that if uncertainties appear on system, the decentralized controller is able to perform approximate asymptotic tracking, in the sense that the output tracking error remains bounded, provided the upper bounds of the uncertain terms are known.

Observer-based Nonlinear Adaptive Tracking Control

This paper presents a nonlinear adaptive tracking control scheme. First, the output tracking control scheme is introduced. To increase the robustness of the control system against the uncertainty of the model parameters, a nonlinear adaptive observer which estimates the model parameters is used. The complete concept can be considered as a nonlinear adaptive control scheme, which guarantees the stability of the whole closed-loop system.