Robust Predictive Discrete-Time Controller in Constrained Systems With Uncertain and Delayed Terms
针对含不确定性和约束的延迟离散时间模型，提出一种基于预测机制的鲁棒控制方案，通过线性矩阵不等式将调节器参数求解转化为优化问题，并数值求解控制器系数，仿真显示该策略优于同类方法。
Based on the predictive mechanism, a robust control scheme is obtained in the delayed discrete-time models with uncertainty and constraint. To achieve the purpose in a predictive manner, using the linear matrix inequality, finding the regulator’s parameters is translated into optimization subjected to several constraints. Thus, the controller’s coefficients will be found numerically by solving the minimization problem. Then, applying an optimization solver at each sample, the gains of the compensator would be updated to a new value. Some examples and simulations are given to disclose the superiority of the control technique. The outcomes reveal the dominances of the predictive strategy in contrast with the similar idea.