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基于输入状态稳定的离散广义系统预测控制 被引量:1

Model predictive control of discrete-time singular systems based on inputto-state stability
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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.
作者 刘晓华 高婵
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
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参考文献15

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二级参考文献25

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