JOURNAL ARTICLE

Robust Control Design of Uncertain Mechanical Systems: A Fuzzy Approach

Xianmin ChenWang YongShengchao ZhenKang HuangHan ZhaoYe‐Hwa Chen

Year: 2016 Journal:   International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Vol: 24 (02)Pages: 307-324   Publisher: World Scientific

Abstract

We first investigate the fundamental properties of the mechanical system as related to the control design. Then a new robust control is proposed for mechanical systems with fuzzy uncertainty. Fuzzy set theory is used to describe the uncertainty in the mechanical system. The desirable system performance is deterministic. The proposed control is deterministic and is not the usual if-then rules-based. The resulting controlled system is uniformly bounded and uniformly ultimately bounded proved via the Lyapunov minimax approach. The resulting control design is systematic and is able to render the deterministic performance. A mechanical system is chosen for demonstration.

Keywords:
Mechanical system Control theory (sociology) Bounded function Minimax Fuzzy control system Robust control Fuzzy logic Computer science Set (abstract data type) Uniform boundedness Control system Control (management) Mathematical optimization Fuzzy set Mathematics Control engineering Engineering Artificial intelligence

Metrics

4
Cited By
0.85
FWCI (Field Weighted Citation Impact)
15
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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