应用神经网络的非参数模型自适应控制

Non-parametric model adaptive control using neural networks

提出了一种应用神经网络的非参数模型自适应控制方案,该方案仅用受控系统的I/O数据来设计控制器,并与神经网络自适应控制方案进行了仿真比较,仿真结果表明了该方案的有效性和优越性.

<Abstrcat>The non-parametric model adaptive control using neural networks (NPMAC-NN) is presented.It is designed by only using I/O data of the controlled systems.The comparisons of identification and control of dynamical systems using neural networks and the simulation results of typical nonlinear systems demonstrate the correctness and advantages of the approach proposed.