The coal pulverizing system equipped with ball mills is a nonlinear, long delay, and closed coupling multivariable system, its automatic control being a research hot spot all along.
钢球磨煤机制粉系统是一个非线性、大滞后、强耦合的多变量系统，其自动控制一直是热控领域的研究热点。
Simulating Human Intelligent Controller based on PC104 system is presented for a nonlinear temperature control system, which is multivariable and strongly coupling.
针对实际多变量强耦合非线性温控系统，设计了基于PC104嵌入式系统的拟人智能温度控制系统。
A fuzzy adaptive tracking control scheme for a class of unknown multivariable nonlinear systems is presented.
对一类非线性多变量未知动态系统，提出了一种模糊自适应控制策略。
We present a new neural net based self tuning control which can effectively control complicated multivariable nonlinear systems.
建立了一种新型的神经网络自校正预测控制器，可有效地控制复杂的多变量非线性系统。
But employing the simple IMC method to solve multivariable nonlinear control problem haven't been researched in depth.
对于多变量非线性的对象，如何用简单实用的内模控制方法取得良好的控制效果，国内外至今仍在研究。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
针对多变量非线性离散时间系统设计多模型神经网络解耦控制器。
Predictive control algorithms for a multivariable nonlinear system with limited inputs and outputs can be formulated as a constrained nonlinear optimization problem which is hard to solve.
输入输出受限非线性系统的预测控制问题，可以看作是一个难以直接求解的约束非线性优化问题。
Fermentation process is a time-variable, nonlinear, uncertain and multivariable coupling system, and high performance decoupling control is a target to seek.
发酵过程是一个时变，非线性，不确定性和多变量耦合系统，高性能解耦控制是一个寻求的目标。
A double-level neural network for feedforward decoupling control is proposed for the fermentation process characterized with time-variable, nonlinear, uncertain and multivariable coupling.
双级神经网络的前馈解耦控制提出了具有时变，非线性，不确定性和多变量耦合发酵过程中。
The controller can learn, on line, the control rules of the complex dynamic process with multivariable coupling, nonlinear and uncertainty, so that the PID parameters are tuned automatically.
该控制器利用神经网络在线学习具有多变量耦合、非线性及不确定性的复杂的焊接动态过程的控制规则，实现PID参数的自动整定。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
针对强非线性、多变量耦合系统，提出了一种基于动态t - S模糊模型的约束内模控制策略。
The stability of multivariable nonlinear control system is discussed in connection with the generalized frequency response function matrix.
基于广义频率响应函数矩阵，讨论了多变量非线性系统的稳定性问题。
Discusses the nonelinearity and coupling of the plastics thickness control system, and adopts NN serial decoupling algorithm to solve the difficulty in multivariable nonlinear coupling.
讨论了薄膜厚度控制的非线性和耦合性，应用神经网络串行解耦算法，解决多变量非线性耦合问题，同时还采用了改进的学习算法———动量法，并与传统算法做了仿真比较。
Discusses the nonelinearity and coupling of the plastics thickness control system, and adopts NN serial decoupling algorithm to solve the difficulty in multivariable nonlinear coupling.
讨论了薄膜厚度控制的非线性和耦合性，应用神经网络串行解耦算法，解决多变量非线性耦合问题，同时还采用了改进的学习算法———动量法，并与传统算法做了仿真比较。
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