基于神经网络MIMO非仿射系统自适应控制

针对一类多输入多输出非仿射非线性系统,基于神经网络设计了一种自适应控制方案。该系统隐含控制输入,利用隐函数定理和伪控制概念提出了控制运算法则,采用Lyapunov方法证明了系统的稳定性。该方案采用神经网络补偿系统中的非线性部分,设计了鲁棒项来增加系统的抗干扰能力。仿真结果充分证明了该方案的有效性和可行性。

Neural Network Based Adaptive Control for MIMO Non-affine Systems

A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed,which are implicit function with respect to control input.The control algorithm is concluded by implicit function theorem and the design idea of pseudo-control.The stability of system is proved through Lyapunov method.A Three-Layer Neural Network is used to compensate the modeling errors and a robust control is also designed to add the anti-interference ability of system.Simulation results demonstrate the effectiveness and feasibility of proposed scheme.