针对实际工程中MIMO耦合系统调节困难、控制质量差的现象提出了一种基于神经

元的解耦控制算法,并以三输入三输出系统为例,详细分析了神经元解耦的学习方法及其在多

变量系统中的工作机理.仿真结果表明该方法有效可行.

-For practical engineering MIMO coupled system adjustment difficulties, the phenomenon of poor quality control is proposed based on neural decoupling control algorithm, and to three-input three-output system, for example, a detailed analysis of neural decoupling of learning methods and their In the multi-variable system, the working mechanism. Simulation results show that the method to be effective.