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銆奍nvestigation of Communication Constraints in Distributed Multi-agent Systems銆?/h1>

鏉ユ簮: 鏈虹數(shù)宸ョ▼瀛﹂櫌 浣滆€咃細(xì)姹鐞?/span> 娣誨姞鏃ユ湡:2019-05-27 16:03:53 闃呰嬈℃暟錛?script>_showDynClicks("wbnews", 1558477759, 2840)

鎶ュ憡棰樼洰錛欼nvestigation of Communication Constraints in Distributed Multi-agent Systems
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銆€銆€鎶ュ憡浜烘潹澶╁畤鏁欐巿綆€浠?Presenter: Tianyu Yang, Ph.D., Senior Member IEEE錛汸rofessor of Electrical and Computer Engineering錛汦mbry-Riddle Aeronautical University錛汥aytona Beach, Florida, USA銆?Biography: 鏉ㄥぉ瀹囨暀鎺?001騫存瘯涓氫簬嫻欐睙澶у, 鑾蜂俊鎭伐紼嬪澹強(qiáng)绔哄彲妗㈠闄T鏂揪搴峰瀛﹂噾; 2004騫磋幏緹庡浗涓經(jīng)緗楅噷杈懼ぇ瀛︼紙University of Central Florida, Orlando, Florida錛夌數(shù)姘斿伐紼嬪崥澹? 2005騫?鏈堝姞鍏ュ畨鏌忕憺寰瘋埅絀哄ぇ瀛?(Embry Riddle Aeronautical University, Daytona Beach, Florida) 錛涚幇浠葷數(shù)姘斿伐紼嬬粓韜亴姝f暀鎺堛€備富瑕佺爺絀舵柟鍚戝寘鎷嚜閫傚簲淇″彿澶勭悊錛屾棤綰塊€氫俊錛屽鏅鴻兘浣撶郴緇熺殑鍒嗗竷寮忔帶鍒躲€傛潹澶╁畤鏁欐巿鐨勭爺絀跺嬈¤幏寰楃編鍥界┖鍐涚爺絀跺疄楠屽AFRL錛圓ir Force Research Lab錛変換鍔″鍚戠殑鑷富鏈哄櫒鏅鴻兘錛圡achine Intelligence for Mission Focused Autonomy錛夐」鐩強(qiáng)緹庡浗瀹囪埅灞€錛圢ASA錛夌殑璧勫姪銆備粬浜?013騫翠換緹庡浗縐戝闄㈠浗瀹剁爺絀跺鍛樹細(xì)錛圢ational Research Council錛夐珮綰х爺絀跺憳錛岀敱絀哄啗縐戝鐮旂┒鍔炲叕瀹わ紙Air Force Office of Scientific Research錛夎祫鍔? 浠栨浘涓夋鎷呬換絀哄啗鐮旂┒瀹為獙瀹?淇℃伅閮?AFRL/RI錛夎闂鑰呯爺絀跺憳 (Visiting Faculty Research Fellow)銆傚湪涓撲笟鏈熷垔鍙?qiáng)浼?xì)璁腑鍙戣〃璁烘枃70浣欑瘒銆傝幏寰楃殑濂栭」鍖呮嫭: 2017騫碅bas Sivjee鏉板嚭縐戠爺濂栵紝2010騫碔EEE浣?jīng)缃楅噷杈惧垎浼?xì)鏉板嚭宸ョ▼鏁欒偛濂栵紙IEEE Florida Council Outstanding Engineering Educator Award錛夛紝浠ュ強(qiáng)2014騫碔EEE鍥介檯鐢?shù)瀛愪俊鎭妧鏈ぇ浼?xì)锛圛EEE International Conference on Electro/Information Technology錛夋渶浣寵鏂囧銆備粬鏄?鈥滅數(shù)璺紝緋葷粺鍜屼俊鍙峰鐞嗏€濇湡鍒婏紙Springer錛夌殑鍓紪杈戯紙Associate Editor錛? 浜?011鑷?012騫存媴浠籌EEE Daytona鍒嗕細(xì)涓誨腑.
銆€銆€鎶ュ憡綆€浠嬶細(xì) Abstract: This presentation will introduce a simple multi-agent flocking model with collision avoidance, and a distributed algorithm for estimating global features. The effect of jamming on these systems is then studied. Further, a communication-aware formation control model is presented with the aim of achieving optimum inter-agent distance for best communication quality. Simulation results will be presented to illustrate the effectiveness of these multi-agent systems.
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