Markovian Jump Model of Networked Control Systems with Dynamic Output Feedback Controllers
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摘要: 对于网络控制系统(Networked control systems, NCS)中的随机延迟时变有界, 其上界大于一个采样周期的情况, 建立了带有动态输出反馈控制器的连续时间系统模型. 以此为基础, 应用连续时间系统模型离散化与增广状态空间方法, 建立了受控于有限状态Markov链的离散时间跳变系统模型. 在该系统的稳定性控制器设计中, 给出了一种求内点法的初始可行解的方法, 从而解决了所建模型的可解性问题. 理论分析和车载倒立摆上的仿真计算表明, 由上述模型与改进算法所给出的动态输出反馈控制器能使系统稳定.Abstract: When the random time-varying delays of networked control systems (NCSs) are bounded and the upper bound of the delays is longer than a sampling period, the model of continuous-time system with dynamic output feedback controllers is presented. Based on this, the model of continuous-time system is discretized and the augmented state-space method is employed to build a discrete-time jump system model governed by finite-state Markov chains. An approach to get the feasible initial solution of interior-point method is proposed in the design of stabilizing controllers, thereby the problem of solvability of the model is settled. Theoretical analysis and simulation on a cart and inverted pendulum show that the presented dynamic output feedback controllers can make the system stable.
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