针对一个非线性的对象模型-苯-甲苯物系模型提出了基于非线性过程模型控制(NPMC,Nonlinear Process Model Control)的控制方案,并与常规的PID控制方案作了比较.
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The dynamic process of TCSC is considered in the system model and the nonlinear characteristic is reserved. An adaptive gain control law is applied to real-time para-meter estimation.
在系统模型中考虑了TCSC的动态过程，同时保留了系统的非线性特性，运用自适应增益控制律进行参数的实时估计。
To handle the unsymmetrical dynamic characteristics of some nonlinear systems in chemical process, a multi-model predictive control method was proposed based on self-tuning model.
针对化工过程某些非线性系统的不对称动态特性，提出了一种基于自校正模型的多模型预测控制算法。
Common model control (CMC) is an effective nonlinear control method, but its application condition requests explicit solution for the first order differential model of the process.
通用模型控制是一种有效的非线性控制方法，但该方法的应用条件是过程一阶微分模型必须要有显式解。
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