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Adaptive intelligent-estimation-based tracking controller design strategy for switched nonlinear systems with
Yutong Yin1, Ben Niu2, Xiaomei Liu3
1School of Mathematical Sciences, Bohai University, Jinzhou, Liaoning, 121013, PR China.
ISA Transactions
|September 20, 2021
Summary
This study presents a novel intelligent-estimation-based tracking controller for nonlinear systems with unmodeled dynamics and output constraints. The controller ensures system stability and accurate tracking performance while respecting constraints.
Area of Science:
- Control Theory
- Nonlinear Systems
- System Identification
Background:
- Designing controllers for switched nonlinear systems with unmodeled dynamics and output constraints is challenging.
- Existing methods struggle with non-strict feedback forms and dynamic uncertainties.
Purpose of the Study:
- To develop an intelligent-estimation-based tracking controller for switched non-lower triangular nonlinear systems.
- To address challenges posed by unmodeled dynamics and output constraints.
Main Methods:
- Utilizing Gaussian functions to overcome non-strict feedback limitations.
- Employing a dynamic signal approach to manage unmodeled dynamics.
- Designing an intelligent-estimation-based tracking controller.
Main Results:
- All signals within the switched closed-loop system are proven to be bounded.
- The system output closely tracks the reference signal without violating output constraints.
Conclusions:
- The proposed controller design effectively handles switched nonlinear systems with unmodeled dynamics and output constraints.
- Simulation results validate the controller's performance and robustness.
Keywords:
Adaptive controlNeural networksOutput constraintSwitched nonstrict-feedback nonlinear systemsUnmodeled dynamicsMore Related Videos
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