控制理论(社会学)
模型预测控制
量化(信号处理)
上下界
计算机科学
拓扑(电路)
控制系统
二次方程
数学
控制(管理)
工程类
算法
数学分析
人工智能
电气工程
组合数学
几何学
作者
Ting Shi,Peng Shi,Huiyan Zhang
摘要
Summary This work is concerned with the robust model predictive control (MPC) for a class of distributed networked control systems (NCSs), in which the input quantization and switching topology are both considered. By utilizing the sector bound approach, the NCSs with quantization are converted into the linear systems with sector bound uncertainties. The topology switching is governed by a switching signal and the dynamic behavior is modeled as a switched control system. A new robust MPC design technique is derived to minimize the upper bound of a weighted quadratic performance index. Moreover, the conditions of both the recursive feasibility of the MPC design and the stability of the resulting closed‐loop system are developed. Finally, simulation results are presented to verify the effectiveness of the proposed MPC design.
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