Uniform Markovian jump model of networked control systems
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摘要: 對于網絡誘導延遲的上界大于或小于一個采樣周期的兩種不同情況的連續時間網絡控制系統,采用離散化與增廣狀態空間方法,建立了統一的Markov鏈離散時間跳變模型.由于模型含有反映系統的網絡誘導延遲的大小與計算精度的參數,因此它具有更廣泛的適應性.應用離散時間線性跳變系統理論,分析了保證系統均方穩定的充要條件.在所論及的保證系統均方穩定的設計算法中,給出了一種求內點法初始可行解的方法.在延遲帶有一定任意性的車載倒立擺的網絡控制設計中,該改進算法得到了有效應用.Abstract: For the two different cases that the upper bound of network-induced delays is longer or less than one sampling period in a continuous-time networked control system (NCS), by discretizing the model of a continuous-time system and applying the augmented state-space method to the model, a uniform discrete-time jump model governed by Markov chains was presented. The parameters of the model reflected both the length of the delays and computation precision, so this model had more widely adaptability. The existing theory of a jump linear system was applied to analysis the necessary and sufficient conditions guaranteeing the system's stability. An interior-point algorithm was applied to design stabilizing controllers, and an approach to get the feasible initial solution of the interior-point algorithm was proposed. This improved algorithm stated above was applied effectively to the networked control and design of a cart and inverted pendulum with random delays.
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Key words:
- networked control system /
- delay /
- jump system /
- Markov chain /
- discretization /
- augmented state-space method
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