Continuous Stabilization Controller for Nonlinear Systems With Two Piecewise Controllers and Its Application to Underactuated Ships

IF 10.5 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Cybernetics Pub Date : 2025-02-18 DOI:10.1109/TCYB.2025.3535768
Zhong-Cai Zhang;Guang-Ren Duan;Yu-Qiang Wu
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Abstract

It is well-known that the stabilizing control of nonholonomic systems is usually divided into two independent steps. This incurs a discontinuous switching control problem when system states start from certain regions. In light of this, we study the continuous and smooth stabilization control issues for nonlinear systems with two piecewise continuous or even smooth stabilization controllers. First, the sufficient conditions for the existence of these controllers are provided. Then, we use the controller extension method to construct some intermediate auxiliary controllers that can link the piecewise controllers given in advance continuously or even smoothly. In addition, by combining model transformation, including the cascade and fully actuated ones, with the extended state observer, we successfully employ the proposed controller extension method to solve the stabilization control of an underactuated surface ship subject to external disturbance.
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双分段非线性系统的连续镇定控制器及其在欠驱动船舶上的应用
众所周知,非完整系统的稳定控制通常分为两个独立的步骤。当系统状态从某些区域开始时,会产生不连续切换控制问题。有鉴于此,我们研究了具有两个分段连续或甚至光滑镇定控制器的非线性系统的连续和光滑镇定控制问题。首先,给出了这些控制器存在的充分条件。然后,我们利用控制器扩展的方法构造了一些中间辅助控制器,这些控制器可以连续甚至平滑地连接预先给定的分段控制器。此外,通过将串级和全驱动模型转换与扩展状态观测器相结合,我们成功地采用所提出的控制器扩展方法解决了受外部扰动影响的欠驱动水面舰船的镇定控制问题。
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来源期刊
IEEE Transactions on Cybernetics
IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
25.40
自引率
11.00%
发文量
1869
期刊介绍: The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
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