摘要
针对一类具有持续扰动和输入约束的离散广义系统,研究其鲁棒预测控制器的设计问题.将输入状态稳定的概念引入广义系统预测控制,在quasi-min-max性能指标下,提出了广义系统双模鲁棒预测控制器的设计方法,证明了基于双模鲁棒预测控制器的闭环广义系统输入状态稳定,且具有正则、因果性.数值仿真结果验证了所提出方法的有效性.
Robust model predictive control(MPC) is studied for a class of discrete-time singular system subject to persistent disturbance and input constrains. The notion of input-to-state stability is introduced to the model predictive control of singular systems. The design method of the singular system dual-mode MPC is proposed under the index of quasi-min-max. On the basis of the proposed dual-mode MPC approach, it can be proved that the closed-loop discrete-time singular system is inputto-state stable. Finally, the numerical simulation result shows the feasibility and the effectiveness of the proposed method.
出处
《控制与决策》
EI
CSCD
北大核心
2015年第12期2137-2144,共8页
Control and Decision
基金
国家自然科学基金项目(60774016)
关键词
模型预测控制
离散广义系统
输入状态稳定
持续扰动
双模控制
model predictive control
discrete-time singular systems
input-to-state stability
persistent disturbance
dual-mode control