JOURNAL ARTICLE

Takagi-Sugeno Fuzzy System based Stable Direct Adaptive Control of Nonlinear Systems

Bharat BhushanSudarshan K. ValluruMadhusudan Singh

Year: 2013 Journal:   International Journal of Computer Applications Vol: 68 (15)Pages: 30-36

Abstract

This paper proposes a novel idea for stable direct adaptive control of nonlinear systems using Lyapunov function with fuzzy approach.Stable direct adaptive control law consists of an ideal control, and a sliding mode control.Sliding mode controller is used to ensure the stability of Lyapunov function.Stability of direct adaptive control law is tested on two nonlinear systems.Non linear systems analyzed are ball beam system and cart pole system.A computer simulation is performed on nonlinear systems by using MATLAB.

Keywords:
Computer science Nonlinear system Control theory (sociology) Fuzzy control system Fuzzy logic Control (management) Stability (learning theory) Artificial intelligence Machine learning

Metrics

7
Cited By
2.44
FWCI (Field Weighted Citation Impact)
38
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering
Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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