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一类非最小相位非线性系统的神经网络自适应控制策略
ADAPTIVE CONTROL OF A CLASS OF NONLINEAR NON MINIMUM PHASE SYSTEMS USING NEURAL NETWORKS
【摘要】 针对一类非最小相位非线性系统,基于线性化和前馈补偿的思想,提出了神经自适应控制算法.得到了前馈控制律的闭环稳定性分析,并给出仿真结果.
【Abstract】 A novel algorithm, using neural networks and based on the concepts of linearizaion and feedforward compensation, is proposed for the adaptive control of a class of nonlinear non minimum phase systems. The closed loop stability analysis of the feedforward controller has been obtained. Simulation results are also presented.
【关键词】 非最小相位系统;
非线性系统;
自适应控制;
神经网络;
【Key words】 non minimum phase systems; nonlinear systems; adaptive control; neural networks;
【Key words】 non minimum phase systems; nonlinear systems; adaptive control; neural networks;
【基金】 国家自然科学基金重点基金
- 【文献出处】 信息与控制 ,INFORMATION AND CONTROL , 编辑部邮箱 ,1998年06期
- 【分类号】TP273.2,TP18
- 【被引频次】5
- 【下载频次】139