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EVENT-TRIGGERED AVERAGE-CONSENSUS OF multi-agent system. WITH WEIGHTED AND DIRECT TOPOLOGY

Journal of system. Science & Complexity 2012年第5期25卷 845-855页

作者： Zhongxin LIU Zengqiang CHEN Zhuzhi YUAN Department of Automation Nankai University

This paper investigates the average-consensus problem of multi-agent system. with direct and weighted topologies. Event-triggered control laws are adopted so as to reduce the frequency of individual control updating since the agents may be resource-limited in many real system.. The discrete time instants where the events are triggered are determined by a trigger function with respect to a certain measurement error. A centralized average-consensus protocol is proposed first for networks with fixed interaction topology, the stability and influencing factors of which are also analyzed. The design of trigger functions for networks with variable topology is also discussed. Then the results are extended to the decentralized counterpart, in which agents require only the information of their neighbors. Numerical examples are also provided that demonstrate the effectiveness of the theoretical results.

关键词： Average-consensus consensus digraph event-triggered control multi-agent system.

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multi-agent AGGREGATION BEHAVIOR ANALYSIS: THE DYNAMIC COMMUNICATION TOPOLOGY

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Journal of system. Science & Complexity 2008年第2期21卷 209-216页

作者： Sheng CHEN Lindu ZHAO Ying HAN Institute of system. Engineering Southeast University Nanjing 210018 China

The authors extend the Gazi＇s swarm model with local neighbor rules and the dynamic communication topology, and study its aggregation properties. Results of analysis show that all agents in the models aggregate and eventually form a cohesive cluster of finite size around the swarm center or the appointed point. Finally, simulations are provided to testify some of the results. Models in the paper are more applicable to the reality for the advantage that each agent only needs the partial information of the entire dynamic system.when making motion decision.

关键词： Aggregation behavior dynamic communication topology local neighbor rules multi-agent system.

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Space and Temporal Distribution Analysis of Interictal Spike in Epilepsy

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Journal of Life Sciences 2012年第8期6卷 840-847页

作者： Mamadou Lamine Ndiaye Jean-Jacques Montois Abel Kinie Papa Alioune Sarr Ndiaye Laboratoire Traitement du Signal et de l 'Image INSERM U 642 Rennes 35000 France Centre International de Formation et de Recherche en Energie Solaire CIFRES ESP-UCAD BP 5085 Dakar Senegal

Stereo-electroencephalography （SEEG） is the main investigation method for pre-surgical evaluation of patients suffering from drug-resistant partial epilepsy. SEEG signals reflect two types of paroxysmal activity： ictal activity and interictal activity or interictal spikes （IS）. The relationship between IS and ictal activity is an essential and recurrent question in epiletology. In this paper, we present a distributed and parallel architecture for space and temporal distribution analysis of IS, based on a distributed and collaborative methodology. The proposed approach exploits the SEEG data using vector analysis of the corresponding signals among multi-agents system. The objective is to present a new method to analyze and classify IS during wakefulness （W）, light sleep （LS） and deep sleep （DS） stages. Temporal and spatial relationships between IS and seizure onset zone are compared during wakefulness, light sleep and deep sleep. Results show that space and temporal distribution for real data are not random but correlated.

关键词： Epilepsy sleep stage stereo-electroencephalography (SEEG) interictal spike signal processing multi-agent system.

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