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
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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.