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非线性不确定系统准最优学习控制
引用本文:严求真,孙明轩.非线性不确定系统准最优学习控制[J].自动化学报,2015,41(9):1659-1668.
作者姓名:严求真  孙明轩
作者单位:1.浙江工业大学信息工程学院 杭州 310023;
基金项目:国家自然科学基金(60874041,61174034,61374103),浙江省高等学校访问学者专业发展项目(FX2013206)资助
摘    要:针对不确定非线性系统, 提出准最优学习控制方法, 解决参数与非参数不确定特性同时存在情形下的轨迹跟踪问题. 给出迭代学习与重复学习两种控制策略, 根据Sontag公式解决标称系统的优化控制, 并以鲁棒学习手段处理参数与非参数不确定特性. 提出断续函数连续化方案, 以避免传统Sontag公式在实现时可能存在的颤振问题. 分析证明经过足够多次迭代或足够多个周期的重复运行后, 闭环系统可实现系统状态以预设精度跟踪参考信号. 仿真结果表明所设计学习系统在收敛速度 方面快于非优化设计.

关 键 词:准最优非线性控制    学习控制    参数化    非参数不确定性
收稿时间:2014-11-13

Suboptimal Learning Control for Nonlinear Systems with Both Parametric and Nonparametric Uncertainties
YAN Qiu-Zhen,SUN Ming-Xuan.Suboptimal Learning Control for Nonlinear Systems with Both Parametric and Nonparametric Uncertainties[J].Acta Automatica Sinica,2015,41(9):1659-1668.
Authors:YAN Qiu-Zhen  SUN Ming-Xuan
Affiliation:1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023;2.College of Information Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018
Abstract:In this paper, two suboptimal learning control methods, an iterative one and a repetitive one, are proposed for a class of nonlinear systems with both time-varying parametric and nonparametric uncertainties. Sontag formula is used for the control design of a nominal system, while the robust learning mechanism is adopted to deal with both parametric and nonparametric uncertainties. A continuous controller design is carried out in order to avoid the chattering phenomenon that may arise due to the use of Sontag formula. It is shown that the closed-loop system state follows the desired trajectory with the pre-specified accuracy, as iteration or repetition increases. Numerical results demonstrate the effectiveness of the suboptimal learning control scheme.
Keywords:Suboptimal nonlinear control  learning control  parametrization  nonparametric uncertainties
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