引用本文:孔祥玲,孙海滨,侯林林.严格反馈非线性系统的全状态预设性能自适应跟踪控制[J].控制理论与应用,2026,43(3):677~683.[点击复制]
KONG Xiang-ling,SUN Hai-bin,HOU Lin-lin.Full state prescribed performance adaptive tracking control for strict-feedback nonlinear systems[J].Control Theory & Applications,2026,43(3):677~683.[点击复制]
严格反馈非线性系统的全状态预设性能自适应跟踪控制
Full state prescribed performance adaptive tracking control for strict-feedback nonlinear systems
摘要点击 520  全文点击 83  投稿时间:2023-12-22  修订日期:2025-10-14
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DOI编号  10.7641/CTA.2024.30824
  2026,43(3):677-683
中文关键词  渐近跟踪控制  非对称全状态约束  预设时间性能函数  非线性系统
英文关键词  asymptotic tracking control  full asymmetric state constraints  prescribed time performance function  non linear systems
基金项目  国家自然科学基金项目(62173205,62273254,62273199), 山东省泰山学者项目,山东省自然科学基金项目(ZR2023MF049)资助.
作者单位E-mail
孔祥玲 曲阜师范大学工学院 XianglingKong712@163.com 
孙海滨* 曲阜师范大学工学院 seusunhaibin@gmail.com 
侯林林 曲阜师范大学计算机学院  
中文摘要
      本文研究了具有全状态非对称约束和不确定干扰的严格反馈非线性系统的自适应渐近跟踪控制问题.为 了约束系统状态,首先,引入了一组预设时间性能函数;其次,构建了一种非对称变换函数,将原系统的状态约束问 题转化为新变量的有界性问题,基于变换的方法,去除了虚拟控制器上的可行性条件;随后,为了避免backstep ping方法固有的“微分爆炸”问题,在递推设计中引入了一阶滤波器;然后,结合backstepping方法提出了一种自适应 控制策略,使系统状态不违反约束边界,并在有限时间内收敛到预设边界;同时,系统输出渐近地跟踪参考信号;最 后, 应用实例验证了方法的有效性.
英文摘要
      In this article, the problem of adaptive asymptotic tracking control is studied for strict-feedback nonlinear sys tems with full state asymmetric constraints and uncertain disturbances. Firstly, a batch of prescribed time performance func tions are introduced to restrain system states. Secondly, an asymmetric transformation function is constructed which makes sure the asymmetric state constraints are not breached, then the state constraints problem is transformed into analysing the boundary of the new variables. By using the transformation method, the feasibility conditions on virtual controllers are removed. Subsequently, in order to avoid the inherent “explosion of complexity” problem of backstepping methods, a f irst-order filter is introduced. Then an adaptive control strategy is presented on the basis of backstepping technique, which enables system states do not violate constraint boundary and converge to preset boundaries within a finite-time. Mean while, the output asymptotically tracks the reference signal. Finally, an applied example demonstrates the effectiveness of the proposed method.