基于最小二乘支持向量机逆系统的赖氨酸发酵过程解耦控制

Decoupling Control Based on Least Squares Support Vector Machine Inverse System in Lysine Fermentation Process

  • 摘要: 将逆系统方法与支持向量机相结合,提出了一种基于最小二乘支持向量机(LS-SVM)的α阶逆系统的赖氨酸发酵过程多变量非线性解耦控制方法.在分析了系统可逆性的基础上,利用具有高斯核函数的LS-SVM离线建立赖氨酸发酵过程的非线性逆模型.将得到的LS-SVM逆系统串联在原反应系统之前,使得复杂的非线性多变量系统解耦成多个相对独立的单输入单输出伪线性子系统,从而可用线性系统控制方法对其进行控制.仿真结果表明,LS-SVM逆系统解耦控制方法具有良好的逼近非线性系统的性能.该方法为实现多输入多输出非线性系统的解耦控制提供了一条新的思路.

     

    Abstract: Combining the inverse system method with support vector machine,a multivariable nonlinear decoupling control strategy based on least squares support vector machine(LS-SVM) withαth order inverse system is proposed for the lysine fermentation process.Through analyzing the invertibility of this system,a nonlinear inverse model for lysine fermentation process is developed offline by using an LS-SVM with Gauss kernel.The obtained LS-SVM inverse system is connected in front of the original system,and the complicated nonlinear multivariable system is decoupled into several independent singleinput-single-output(SISO) pseudo-linear subsystems,so it can be controlled with the method of linear system.The simulation results demonstrate mat the LS-SVM inverse system decoupling control method has a good performance in approximating the nonlinear system.The method provides a new way to the decoupling control of multiple-input-multiple-output(MEMO) nonlinear systems.

     

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