Fuzzy Variable Structure Control for Uncertain Systems with Disturbance

This paper focuses on the fuzzy variable structure control for uncertain systems with disturbance. Specifically, the fuzzy control is introduced to estimate the control disturbance, the switching control is included to compensate for the approximation error, and they possess the characteristic of simpleness in design and effectiveness in attenuating the control chattering. Some typical numerical examples are presented to demonstrate the effectiveness and advantage of the fuzzy variable structure controller proposed.

Download Full-text

A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(00)00068-3 ◽

2001 ◽

Vol 122 (1) ◽

pp. 83-106 ◽

Cited By ~ 21

Author(s):

Feng-Yi Hsu ◽

Li-Chen Fu

Keyword(s):

Uncertain Systems ◽

Fuzzy Variable ◽

Variable Structure Control ◽

Variable Structure ◽

Structure Control ◽

Adaptive Fuzzy ◽

Nonlinear Uncertain Systems

Download Full-text

A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171) ◽

10.1109/cdc.1998.758674 ◽

2002 ◽

Author(s):

Feng-Yih Hsu ◽

Li-Chen Fu

Keyword(s):

Uncertain Systems ◽

Fuzzy Variable ◽

Variable Structure Control ◽

Variable Structure ◽

Structure Control ◽

Adaptive Fuzzy ◽

Nonlinear Uncertain Systems

Download Full-text

Fuzzy variable structure control via output feedback

International Journal of Systems Science ◽

10.1080/00207729708929390 ◽

1997 ◽

Vol 28 (3) ◽

pp. 309-319 ◽

Cited By ~ 6

Author(s):

TIAN-PING ZHANG ◽

CHUN-BO FENG

Keyword(s):

Output Feedback ◽

Fuzzy Variable ◽

Variable Structure Control ◽

Variable Structure ◽

Structure Control

Download Full-text

Fuzzy variable structure control for acrobot based on T-S model

IEEE International Conference Mechatronics and Automation, 2005 ◽

10.1109/icma.2005.1626660 ◽

2006 ◽

Cited By ~ 2

Author(s):

Yan Zheng ◽

Yuan-wei Jing

Keyword(s):

Fuzzy Variable ◽

Variable Structure Control ◽

Variable Structure ◽

Structure Control ◽

S Model

Download Full-text

A New Fuzzy Variable Structure Control of a Type of Nonlinear Multivariable System

Advances in Machining & Manufacturing Technology VIII - Key Engineering Materials ◽

10.4028/0-87849-999-7.623 ◽

2006 ◽

pp. 623-627

Author(s):

P. Wei ◽

Z.L. Wang ◽

L.H. Qiu

Keyword(s):

Fuzzy Variable ◽

Variable Structure Control ◽

Variable Structure ◽

Multivariable System ◽

Structure Control

Download Full-text

Output Feedback Variable Structure Control for Uncertain Systems with Input Nonlinearities

Journal of Guidance Control and Dynamics ◽

10.2514/2.4600 ◽

2000 ◽

Vol 23 (4) ◽

pp. 762-764 ◽

Cited By ~ 10

Author(s):

Yi Shen ◽

Chunmei Liu ◽

Hengzhang Hu

Keyword(s):

Output Feedback ◽

Uncertain Systems ◽

Variable Structure Control ◽

Variable Structure ◽

Structure Control

Download Full-text

Robust variable structure control for uncertain systems with multiple time delays

ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543) ◽

10.1109/isie.2000.930385 ◽

2002 ◽

Cited By ~ 1

Author(s):

Ming-Sheng Yang

Keyword(s):

Time Delays ◽

Uncertain Systems ◽

Variable Structure Control ◽

Variable Structure ◽

Multiple Time ◽

Structure Control ◽

Multiple Time Delays

Download Full-text

A New Fuzzy Variable Structure Control of a Type of Nonlinear Multivariable System

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.315-316.623 ◽

2006 ◽

Vol 315-316 ◽

pp. 623-627

Author(s):

P. Wei ◽

Z.L. Wang ◽

L.H. Qiu

Keyword(s):

High Efficiency ◽

Control Method ◽

Fuzzy Variable ◽

Variable Structure Control ◽

Variable Structure ◽

Multivariable System ◽

Robust Performance ◽

Structure Control ◽

System A ◽

Novel Method

In order to improve the robust performance for a type of nonlinear multivariable system, a new fuzzy variable structure control method is introduced in detail, which combined the features of traditional variable structure control method with the advantages of the fuzzy control theory. The present work realized the linearization of the nonlinear multivariable system, and then the new fuzzy variable structure control method is applied to control the linearization system. The robust experiments were carried out on the novel method. The results indicated that the required robust performance could be achieved with high efficiency by utilizing the new method.

Download Full-text