本文選題：有限時間一致性 + 事件觸發(fā)機制　； 參考：《鄭州大學》2017年碩士論文

【摘要】：本文研究了帶噪音的多智能體系統(tǒng)的有限時間一致性問題.在固定拓撲下,我們提出一種新穎的基于事件觸發(fā)機制的的非線性控制策略,控制器和觸發(fā)機制的設計都是分布式的,他們都僅僅依賴于當前智能體的鄰居信息.這種控制策略顯著的降低了控制器的更新頻率,從而達到極大的減少通訊資源消耗的目的.文章利用代數(shù)圖論、Ito公式,借助隨機Lyapunov控制理論證明了在這種基于事件觸發(fā)機制的控制策略下,固定拓撲下的帶噪音的多智能體系統(tǒng)能夠在有限時間達到一致.隨后,文章又把該控制策略推廣到切換拓撲結(jié)構(gòu)下的多智能體系統(tǒng),并證明了此控制策略能夠使切換拓撲結(jié)構(gòu)下的帶噪音的多智能體系統(tǒng)在有限時間能達到一致.文章還給出了一些仿真實例來證實我們所提出的控制策略的合理性以及優(yōu)越性.
[Abstract]:In this paper, the problem of finite time consistency for multi-agent systems with noise is studied. Under the fixed topology, we propose a novel nonlinear control strategy based on event triggering mechanism. The controller and trigger mechanism are distributed, and they are only dependent on the neighbor information of the current agent. This control strategy significantly reduces the update frequency of the controller, thus greatly reducing the consumption of communication resources. In this paper, by using algebraic graph theory and stochastic Lyapunov control theory, it is proved that under the control strategy based on event triggering mechanism, the multi-agent system with noise under fixed topology can achieve consistency in finite time. Then, the control strategy is extended to the multi-agent system with switching topology, and it is proved that the control strategy can make the multi-agent system with noise under the switching topology consistent in finite time. Some simulation examples are given to verify the rationality and superiority of the proposed control strategy.
【學位授予單位】：鄭州大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：O231

【參考文獻】

相關期刊論文 前3條

1 Zhongxin LIU;Zengqiang CHEN;Zhuzhi YUAN;;EVENT-TRIGGERED AVERAGE-CONSENSUS OF MULTI-AGENT SYSTEMS WITH WEIGHTED AND DIRECT TOPOLOGY[J];Journal of Systems Science & Complexity;2012年05期

2 ;DISTRIBUTED FINITE-TIME χ-CONSENSUS ALGORITHMS FOR MULTI-AGENT SYSTEMS WITH VARIABLE COUPLING TOPOLOGY[J];Journal of Systems Science & Complexity;2010年02期

3 ;CONSENSUS CONTROL FOR LEADER-FOLLOWING MULTI-AGENT SYSTEMS WITH MEASUREMENT NOISES[J];Journal of Systems Science & Complexity;2010年01期

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本文編號：1958622