Prescribed Performance Control of Nonlinear Systems With Unknown Sign-Switching Virtual Control Coefficients

IF 19.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jin-Zi Yang;Jin-Xi Zhang;Tianyou Chai
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引用次数: 0

Abstract

The problem of high-performance tracking control for the lower-triangular systems with unknown sign-switching virtual control coefficients as well as unmatched disturbances is investigated in this paper. Instead of the online estimation algorithm, the sliding mode method and the Nussbaum gain technique, a group of orientation functions are employed to handle the unknown sign-switching virtual control coefficients. The control law is combined with the orientation functions and the barrier functions lumped in a recursive manner. It achieves output tracking with the preassigned rate, overshoot, and accuracy. In contrast with the existing solutions, it is effective for the nearly model-free case, with the requirement for information of neither the system nonlinearities nor their bounding functions of the plant, nor the bounds of the disturbances. In addition, our controller exhibits significant simplicity, without parameter identification, disturbance estimation, function approximation, derivative calculation, dynamic surfaces, or command filtering. Two simulation examples are conducted to substantiate the efficacy and advantages of our approach.
未知符号切换虚拟控制系数非线性系统的规定性能控制
研究了具有未知符号交换虚拟控制系数和不匹配干扰的下三角形系统的高性能跟踪控制问题。采用一组方向函数来处理未知的切换信号虚拟控制系数,而不是采用在线估计算法、滑模方法和努斯鲍姆增益技术。将控制律与方向函数和障碍函数以递归方式组合起来。它实现输出跟踪与预分配的速率,超调,和精度。与已有的解相比,该方法对几乎无模型的情况是有效的,既不需要系统非线性信息,也不需要对象的边界函数信息,也不需要扰动的边界信息。此外,我们的控制器具有显著的简单性,无需参数识别,干扰估计,函数逼近,导数计算,动态曲面或命令滤波。通过两个仿真实例验证了该方法的有效性和优越性。
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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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