Global Output Regulation for Uncertain Feedforward Nonlinear Systems With Unknown Nonlinear Growth Rate

ABSTRACT This paper proposes a method for designing an output regulation controller for a class of feedforward nonlinear systems, where the nonlinear terms exhibit an unknown input‐dependent rate. The completely unknown nature of this rate introduces significant challenges to control design, rendering existing adaptive and time‐varying methods ineffective. To address these challenges, we first introduce a bound on the input and transform the nonlinear condition into an equivalent case with an unknown constant rate. Subsequently, we develop both time‐varying and adaptive methods to design the controller. Through rigorous mathematical analysis, we prove that the regulation objective can be achieved under the proposed control framework. Illustrative examples are provided to demonstrate the effectiveness of the designed control strategy.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-02-05
DOI
https://doi.org/10.1002/rnc.7862
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.21
Controls
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article

Global Output Regulation for Uncertain Feedforward Nonlinear Systems With Unknown Nonlinear Growth Rate

Le Chang, Zhang Xiang-bo
1 citations
International Journal of Robust and Nonlinear Control
Advanced Control Systems Optimization
1.21
article

Global Output Regulation for Uncertain Feedforward Nonlinear Systems With Unknown Nonlinear Growth Rate

Le Chang, Zhang Xiang-bo
article en
1 citations

Abstract

ABSTRACT This paper proposes a method for designing an output regulation controller for a class of feedforward nonlinear systems, where the nonlinear terms exhibit an unknown input‐dependent rate. The completely unknown nature of this rate introduces significant challenges to control design, rendering existing adaptive and time‐varying methods ineffective. To address these challenges, we first introduce a bound on the input and transform the nonlinear condition into an equivalent case with an unknown constant rate. Subsequently, we develop both time‐varying and adaptive methods to design the controller. Through rigorous mathematical analysis, we prove that the regulation objective can be achieved under the proposed control framework. Illustrative examples are provided to demonstrate the effectiveness of the designed control strategy.

International Journal of Robust and Nonlinear ControlVol. 35(9)
Shanghai University of Electric Power (CN), Kean University (US)
Openalex Percentile: Top 25%
Advanced Control Systems Optimization
1.21
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