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非线性系统鲁棒无模型学习自适应控制
引用本文:侯忠生 韩志刚. 非线性系统鲁棒无模型学习自适应控制[J]. 控制与决策, 1995, 10(2): 137-142
作者姓名:侯忠生 韩志刚
作者单位:黑龙江大学应用数学研究所
摘    要:给出了MISO非线性系统的无模型学习自适应控制方案,它具有极其简单的递推形式,可以处理传统PID控制器不能处理的MISO非线性系统、时变系统等。并且讨论了控制系统的收敛性;稳定笥及鲁棒性。仿真结果说明这种理论的优越性。

关 键 词:非线性系统 自适应控制 数学模型 鲁棒性

Robust Modelless Learning Adaptive Controlof Nonlinear Systems
Hou Zhongsheng, Han Zhigang. Robust Modelless Learning Adaptive Controlof Nonlinear Systems[J]. Control and Decision, 1995, 10(2): 137-142
Authors:Hou Zhongsheng   Han Zhigang
Affiliation:Heilongjiang University
Abstract:The robust modelless learning adaptive control for the MISO nonlinear systems is presented in thispaper, it is of extremely simple recursive, incremental form. It can deal with the MISO nonlinear timevarying systems which the traditional PID controller can not deal with. The convergence, stability, and robustness are also discussed. Various nonlinear systems are simulated with the modelless learning adaptivecontrol theory presented in this paper, the simulation results have shown the advantages of this theory.
Keywords:modelless learning adaptive control   MISO nonlinear system   convergence   stability   robustness
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