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非周期时变非线性系统自适应迭代学习控制
引用本文:李静,胡云安,温玮. 非周期时变非线性系统自适应迭代学习控制[J]. 吉林大学学报(工学版), 2012, 42(3): 702-708
作者姓名:李静  胡云安  温玮
作者单位:1. 海军航空工程学院控制工程系,山东烟台,264001
2. 海军航空工程学院信息融合研究所,山东烟台,264001
摘    要:对一类含有非周期时变不确定性的非线性系统的控制问题进行了研究。该系统具有严格反馈形式且控制增益未知。在控制器设计中,用一种具有迭代特性的神经网络消除了非周期时变不确定性的影响,并综合应用反演技术和鲁棒自适应控制技术消除了严格反馈结构和未知控制增益带来的设计问题。稳定性分析结果表明:系统所有状态量有界且输出量在积分意义下收敛到期望轨迹。仿真试验证明了所设计控制器的有效性。

关 键 词:自动控制技术  非周期时变不确定性系统  严格反馈  反演  自适应迭代学习

Adaptive iterative learning control for non-periodical time-varying nonlinear systems
LI Jing,HU Yun-an,WEN Wei. Adaptive iterative learning control for non-periodical time-varying nonlinear systems[J]. Journal of Jilin University:Eng and Technol Ed, 2012, 42(3): 702-708
Authors:LI Jing  HU Yun-an  WEN Wei
Affiliation:1.Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;2.Research Institute of Information Fusion,Naval Aeronautical and Astronautical University,Yantai 264001,China)
Abstract:The control issue of strict-feedback nonlinear systems with non-periodical time-varying uncertainties and unknown control gain function is investigated.An adaptive iterative learning controller is developed.In the controller design,an iterative neural network is proposed to eliminate the influence of non-periodical time-varying uncertainties.The backstepping and robust adaptive control techniques are combined to solve the design difficulties brought by strict-feedback structure and unknown control functions.Stability analysis indicates that all state variables are bounded and the output tracks the desired trajectory in integral sense.Simulation results verify the effectiveness of the proposed scheme.
Keywords:automatic control technology  non-periodical time-varying uncertainties system  strict-feedback  backstepping  adaptive iterative learning
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