Observer-based direct adaptive fuzzy control of uncertain nonlinear systems and its applications

A direct adaptive fuzzy control algorithm is developed for a class of uncertain SISO nonlinear systems. In this algorithm, it doesn’t require to assume that the system states are measurable. Therefore, it is needed to design an observer to estimate the system states. Compared with the numerous alter...

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Bibliographic Details
Published in:International journal of control, automation, and systems 2009, Automation, and Systems, 7(4), , pp.681-690
Main Authors: Liu, Yan-Jun, Tong, Shao-Cheng, Wang, Wei, Li, Yong-Ming
Format: Article
Language:English
Subjects:
Adaptive control systems
Algorithms
Control
Control algorithms
Design engineering
Dynamical systems
Engineering
Fuzzy control
Mechatronics
Nonlinear dynamics
Nonlinear systems
Observers
On-line systems
Robotics
Studies
Technical Notes and Correspondence
제어계측공학
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Summary:A direct adaptive fuzzy control algorithm is developed for a class of uncertain SISO nonlinear systems. In this algorithm, it doesn’t require to assume that the system states are measurable. Therefore, it is needed to design an observer to estimate the system states. Compared with the numerous alternative approaches with respect to the observer design, the main advantage of the developed algorithm is that on-line computation burden is alleviated. It is proven that the developed algorithm can guarantee that all the signals in the closed-loop system are uniformly ultimately bounded and the tracking error converges to a small neighborhood around zero. The simulation examples validate the feasibility of the developed algorithm.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-009-0420-4