基于模型预测控制技术的MCC是一种带有约束、多变量和灵活控制任务切换的优化控制器。
Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
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。
Aiming at the strong nonlinear multiple variable coupling system, a new multivariable internal model control based on T-S fuzzy model was proposed.
从约束控制的角度出发，将模块多变量控制与自校正调节器相结合，构造出一种新的多变量自校正调节器，并对此进行了仿真研。
From the point of constraint control, this paper constructs a new multivariable self tuning regulator combining modular multivariable control technique and self tuning regulator.
县级电网的电压无功控制问题是一个多约束条件、多变量、非线性的复杂数学规划难题。
Reactive power optimization control in county power system is a great complex nonlinear mathematical programming problem, which has many variables and large constrains.
县级电网的电压无功控制问题是一个多约束条件、多变量、非线性的复杂数学规划难题。
Reactive power optimization control in county power system is a great complex nonlinear mathematical programming problem, which has many variables and large constrains.
应用推荐