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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针对实际工业生产过程中的非线性、时变不确定性，提出了一种基于线性化误差模型的自适应控制系统。
In order to overcome the nonlinearity and time-varying uncertainty of actual industrial processes, an adaptive control system based on linearization error model is proposed.
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。
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.
直接针对飞机的非线性模型设计的自抗扰控制器在很大的包线范围内不需要改变控制器的结构和参数，简化了设计过程。
Furthermore, the design of flight control system is simplified by the scheme proposed without changing the structure and parameters of controller in big flight envelope.
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