Nested Saturated Control of Uncertain Complex Cascade Systems Using Mixed Saturation Levels

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-04-15 DOI:10.1109/JAS.2023.124176
Meng Li;Zhigang Zeng
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Abstract

This study addresses the problem of global asymptotic stability for uncertain complex cascade systems composed of multiple integrator systems and non-strict feedforward nonlinear systems. To tackle the complexity inherent in such structures, a novel nested saturated control design is proposed that incorporates both constant saturation levels and state-dependent saturation levels. Specifically, a modified differentiable saturation function is proposed to facilitate the saturation reduction analysis of the uncertain complex cascade systems under the presence of mixed saturation levels. In addition, the design of modified differentiable saturation function will help to construct a hierarchical global convergence strategy to improve the robustness of control design scheme. Through calculation of relevant inequalities, time derivative of boundary surface and simple Lyapunov function, saturation reduction analysis and convergence analysis are carried out, and then a set of explicit parameter conditions are provided to ensure global asymptotic stability in the closed-loop systems. Finally, a simplified system of the mechanical model is presented to validate the effectiveness of the proposed method.
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使用混合饱和度对不确定的复杂级联系统进行嵌套饱和控制
本研究探讨了由多个积分器系统和非严格前馈非线性系统组成的不确定复杂级联系统的全局渐近稳定性问题。为解决此类结构固有的复杂性问题,本文提出了一种新颖的嵌套饱和控制设计,其中包含恒定饱和度和状态相关饱和度。具体来说,本文提出了一种修正的可微分饱和函数,以方便对存在混合饱和度的不确定复杂级联系统进行饱和度降低分析。此外,修正可微饱和函数的设计还有助于构建分层全局收敛策略,提高控制设计方案的鲁棒性。通过计算相关不等式、边界曲面的时间导数和简单的 Lyapunov 函数,进行饱和度降低分析和收敛性分析,然后提供一组显式参数条件,以确保闭环系统的全局渐近稳定性。最后,介绍了一个简化的机械模型系统,以验证所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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