Non-Cooperative Game-Oriented Optimal Prescribed Performance Control for Underactuated Mechanical Systems with Asymmetric Constraints

This paper explores the application of non-cooperative game theory in achieving optimal prescribed performance control for uncertain underactuated mechanical systems. The study addresses scenarios characterized by time-varying (potentially rapid) and bounded uncertainties. Utilizing a constraint-following control design approach., we apply the prescribed transient and steady-state performance (TSSP) criteria to the constraint-following error. Additionally., we employ state transformation techniques to implement the prescribed performance control. We introduce a prescribed performance control methodology with two adjustable parameters and demonstrate the process of determining the optimal design for these parameters through Nash games. Our findings indicate a significant enhancement in the overall system performance., thus confirming the efficacy of the optimization method grounded in non-cooperative game theory.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864711
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Non-Cooperative Game-Oriented Optimal Prescribed Performance Control for Underactuated Mechanical Systems with Asymmetric Constraints

Ye‐Hwa Chen, Cui Wei, Yanling Wei, Lian Liu et al.
Vehicle Dynamics and Control Systems
article

Non-Cooperative Game-Oriented Optimal Prescribed Performance Control for Underactuated Mechanical Systems with Asymmetric Constraints

Ye‐Hwa Chen, Cui Wei, Yanling Wei, Lian Liu, Dengfeng Zhang
article en

Abstract

This paper explores the application of non-cooperative game theory in achieving optimal prescribed performance control for uncertain underactuated mechanical systems. The study addresses scenarios characterized by time-varying (potentially rapid) and bounded uncertainties. Utilizing a constraint-following control design approach., we apply the prescribed transient and steady-state performance (TSSP) criteria to the constraint-following error. Additionally., we employ state transformation techniques to implement the prescribed performance control. We introduce a prescribed performance control methodology with two adjustable parameters and demonstrate the process of determining the optimal design for these parameters through Nash games. Our findings indicate a significant enhancement in the overall system performance., thus confirming the efficacy of the optimization method grounded in non-cooperative game theory.

Georgia Institute of Technology (US), Nanjing Tech University (CN), Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Vehicle Dynamics and Control Systems
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