In this paper, a fuzzy control scheme, which employs the output feedback control approach, is suggested for the stabilization of nonlinear systems with uncertainties. The uncertain nonlinear system can be represented by uncertain Takagi-Sugeno (TS) fuzzy model structure, which is further rearranged to give a set of uncertain linear systems. A switching-type fuzzy-model-based controller, which utilizes the static output feedback control strategy, is designed based on this preliminary study. Theoretical analysis guarantees that under the control of the proposed technique, the uncertain nonlinear system is stabilizable by the switching-type static output-feedback fuzzy-model-based controller. Finally, two computer simulation examples are provided to show the effectiveness and feasibility of the developed controller design method.
Skip Nav Destination
Article navigation
December 2003
Technical Papers
Output Feedback Fuzzy Control for Uncertain Nonlinear Systems
Wook Chang,
Wook Chang
Wearable Computer Project Team, HCI LAB
Search for other works by this author on:
Jin Bae Park,
Jin Bae Park
Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea
Search for other works by this author on:
Young Hoon Joo,
Young Hoon Joo
School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk 573-701, Korea
Search for other works by this author on:
Guanrong Chen
Guanrong Chen
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong
Search for other works by this author on:
Wook Chang
Wearable Computer Project Team, HCI LAB
Jin Bae Park
Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea
Young Hoon Joo
School of Electronic and Information Engineering, Kunsan National University, Kunsan, Chonbuk 573-701, Korea
Guanrong Chen
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong
Contributed by the Dynamic Systems, Measurement, and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the ASME Dynamic Systems and Control Division November 21, 2001; final revision June 19, 2003. Associate Editor: Langari.
J. Dyn. Sys., Meas., Control. Dec 2003, 125(4): 521-530 (10 pages)
Published Online: January 29, 2004
Article history
Received:
November 21, 2001
Revised:
June 19, 2003
Online:
January 29, 2004
Citation
Chang, W., Park, J. B., Joo, Y. H., and Chen, G. (January 29, 2004). "Output Feedback Fuzzy Control for Uncertain Nonlinear Systems ." ASME. J. Dyn. Sys., Meas., Control. December 2003; 125(4): 521–530. https://doi.org/10.1115/1.1636192
Download citation file:
Get Email Alerts
Cited By
Fault detection of automotive engine system based on Canonical Variate Analysis combined with Bhattacharyya Distance
J. Dyn. Sys., Meas., Control
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control (July 2025)
Related Articles
Model-Based Fuzzy Controller Design With Common Observability Gramian Assignment
J. Dyn. Sys., Meas., Control (March,2001)
Fuzzy Controller Design via the Inverse Solution of Lyapunov Equations
J. Dyn. Sys., Meas., Control (March,2003)
Discrete Fuzzy Controller Design for Achieving Common State Covariance Assignment
J. Dyn. Sys., Meas., Control (September,2004)
H ∞ Control for Continuous-Time Switched Linear Systems
J. Dyn. Sys., Meas., Control (July,2010)
Related Proceedings Papers
Related Chapters
Fault-Tolerant Control of Sensors and Actuators Applied to Wind Energy Systems
Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems
An Adaptive Fuzzy Control for a Multi-Degree-of-Freedom System
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
A Novel Sensor Selection Algorithm in Sensor Network Tracking Based on AHP and Fuzzy Control
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)