一类非线性不确定系统的神经网络控制
NEURAL NETWORK CONTROL FOR A CLASS OF NONLINEAR UNCERTAIN SYSTEMS
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摘要: 针对一类非线性不确定系统，提出了一种自适应神经网络控制方案．被控系统是部分已知的，其中系统已知的动态特性被用来设计保证标称模型稳定的反馈控制器，而基于神经网络的动态补偿器则用于补偿系统的非线性不确定性，从而可以保证系统输出跟踪误差渐近收敛于0．Abstract: A adaptive neural network control scheme is proposed for a class of uncertain nonlinear system. The known dynamics are used to design a feedback controller that can ensure the stability of the nominal model. A neural network-based adaptive compensator is designed for compensation of the system uncertainties. This control scheme can ensure the output tracking error asymptotically convergence to zero.
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