Conditions for Guaranteeing Non-Overshooting Control of Nonlinear Systems with Full-State Constraints

In this paper, the problem of non-overshooting tracking control (NOTC) for a class of nonlinear systems with full-state constraints (FSCs) is studied. Firstly, this paper introduces the mapping constraint function to solve the FSC control problem and transform the controlled system into a new nonlinear system. Then, to obtain a closed-loop system that can solve the expression of tracking error, this paper transforms the n-order system into a system in which only the n-th subsystem is nonlinear by coordinate transformation, that is, subsystem 1 to subsystem n−1 are linear. Finally, according to the closed-loop system (CLS), the expressions of the first state of CLSs with n=1, n=2, n=3, and n≥4 are solved, respectively. By analyzing these expressions, a wider range of conditions with NOTC are obtained. This algorithm obtains more conditions with non-overshooting. Compared with the existing results, the algorithm in this paper reduces the conservatism. Finally, the algorithm is applied to the single-link robot system, and the effectiveness of the algorithm is verified. That is, the algorithm in this paper not only makes all signals of the CLS bounded, but also makes the overshoot of the system zero.

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Publication Details

Journal
Applied Sciences
Published
2025-05-22
DOI
https://doi.org/10.3390/app15115816
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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0.00
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article

Conditions for Guaranteeing Non-Overshooting Control of Nonlinear Systems with Full-State Constraints

Chi Zhang, Xiangqin Xiang
Applied Sciences
Adaptive Control of Nonlinear Systems
article

Conditions for Guaranteeing Non-Overshooting Control of Nonlinear Systems with Full-State Constraints

Chi Zhang, Xiangqin Xiang
article en

Abstract

In this paper, the problem of non-overshooting tracking control (NOTC) for a class of nonlinear systems with full-state constraints (FSCs) is studied. Firstly, this paper introduces the mapping constraint function to solve the FSC control problem and transform the controlled system into a new nonlinear system. Then, to obtain a closed-loop system that can solve the expression of tracking error, this paper transforms the n-order system into a system in which only the n-th subsystem is nonlinear by coordinate transformation, that is, subsystem 1 to subsystem n−1 are linear. Finally, according to the closed-loop system (CLS), the expressions of the first state of CLSs with n=1, n=2, n=3, and n≥4 are solved, respectively. By analyzing these expressions, a wider range of conditions with NOTC are obtained. This algorithm obtains more conditions with non-overshooting. Compared with the existing results, the algorithm in this paper reduces the conservatism. Finally, the algorithm is applied to the single-link robot system, and the effectiveness of the algorithm is verified. That is, the algorithm in this paper not only makes all signals of the CLS bounded, but also makes the overshoot of the system zero.

Applied SciencesVol. 15(11)
Hefei University (CN)
Openalex Percentile: Top 88%
Adaptive Control of Nonlinear Systems
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