基于间歇输出反馈的互联非线性系统全局动态双侧事件触发自适应控制

IF 10.5 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Hao Li;Changchun Hua;Kuo Li
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引用次数: 0

摘要

提出了基于间歇输出反馈的互联非线性系统全局渐近镇定控制算法。设计了一个动态的双面事件触发机制(ETM),使可用输出间歇,减少信号更新的频率。在这种情况下,我们从相关研究中放宽了一些限制性条件。所考虑的系统具有未知时变参数、不匹配不确定性和满足非线性增长条件的不确定函数。由于虚拟控制器的导数不存在,这些复杂性使得标准的后退递归设计方案不适用。为了解决输出反馈的间歇性问题,我们引入了一种新的动态反步控制方法。首先,我们利用触发的输出信号建立一个动态增益观测器来重建不可测状态变量。其次,通过坐标变换引入动态增益的概念,利用其导数对不连续项进行偏移,解决了因输出间断导致的递推反演设计难题,并调节了状态变量在全局意义上渐近收敛于原点。最后,通过仿真算例验证了所提算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Dynamic Double Side Event-Triggered Adaptive Control for Interconnected Nonlinear Systems via Intermittent Output Feedback
The global asymptotic stabilization control algorithm is proposed for interconnected nonlinear systems utilizing intermittent output feedback. A dynamic double side event-triggered mechanism (ETM) is designed to make the available output intermittent, reducing the frequency of signal updates. In this case, we relax some restrictive conditions from related studies. The considered system features unknown time-varying parameters, mismatched uncertainties, and uncertain functions that satisfy nonlinear growth conditions. These complexities render the standard backstepping recursive design scheme inapplicable, as the derivative of the virtual controller does not exist. To address the intermittent output feedback problem, we introduce a novel dynamic backstepping control method. First, we establish a dynamic gain observer using the triggered output signals to reconstruct the unmeasurable state variables. Next, the concept of dynamic gain is introduced through a coordinate transformation, with its derivative employed to offset discontinuous terms, which solves the challenges in recursive backstepping design caused by intermittent output and regulates that the state variable converges asymptotically to the origin in the global sense. Final, the simulation example is proposed to show the validity of the developed algorithm.
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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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