Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
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。
Taking an application example, the ideal properties and limitations of a control constrained optimal control system are analyzed;
通过一个应用实例，分析了控制受约束的最优控制最优解的理想特性和以其作为控制策略的局限性；
As numerical examples we treat state constrained optimal control problems for elliptic differential equations. We also compare the established results with existing methods.
以其作数值例子，我们处理椭圆微分方程中的状态约束最优控制问题，并对既定结果与现行方法进比较。
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