模型预测控制
控制理论(社会学)
非线性系统
凸优化
控制器(灌溉)
计算机科学
网络控制系统
最优化问题
事件(粒子物理)
方案(数学)
控制(管理)
数学
正多边形
算法
数学分析
人工智能
物理
生物
量子力学
农学
几何学
作者
Saeid Ghorbani,Ali Akbar Safavi,S. Vahid Naghavi
标识
DOI:10.1177/0142331220969058
摘要
In this paper, the problem of event-triggered robust model predictive control (MPC) was examined for a class of Lipchitz nonlinear networked control systems (NCS) with network-induced delays and subject to external disturbances. An event-triggering scheme for a continuous-time NCS was proposed, which reduced the communication traffic and computational burden of the MPC algorithm simultaneously. In comparison with the existing event-triggered nonlinear MPC (NMPC) approaches, the controller in this paper was designed as a state feedback control law, which minimized a “worst-case” performance index over an infinite horizon subject to constraints on the control input. The controller and event generator parameters were developed as a convex optimization problem, encompassing some linear matrix inequalities (LMIs). Simulation results showed that the proposed event-triggering NMPC scheme preserved closed-loop performance while reducing the communication rate and the computational time.
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