2018
DOI: 10.1155/2018/8124861
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Event‐Based Time Varying Formation Control for Multiple Quadrotor UAVs with Markovian Switching Topologies

Abstract: Time varying formation control problem for a group of quadrotor unmanned aerial vehicles (UAVs) under Markovian switching topologies is investigated through a modified dynamic event-triggered control protocol. The formation shape is specified by a time varying vector, which prescribes the relative positions and bearings among the whole agents. Instead of the general stochastic topology, the graph is governed by a set of Markov chains to the edges, which can recover the traditional Markovian switching topologie… Show more

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Cited by 16 publications
(16 citation statements)
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“…These and other applications demand the design of efficient and robust controllers for those autonomous vehicles. That is why the modelling and control of these complex and unstable systems still motivate the research and interest of the scientific community [4][5][6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…These and other applications demand the design of efficient and robust controllers for those autonomous vehicles. That is why the modelling and control of these complex and unstable systems still motivate the research and interest of the scientific community [4][5][6][7][8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…We prescribe a maximum acceleration/deceleration of the vehicle which allows the controller to have the vehicle move at an appropriate acceleration before fast and hard approaching a target. This contributes to a safer and smoother flight performance of both single vehicles performing specific missions [5,14,41,42] and multi-agent systems flying in formation or switching their inter-communication topology [43,44]. For safety reasons, we firstly evaluate the performance of our new controller with numerical simulations and then we will conduct experimental flights to demonstrate the effectiveness of the proposed algorithm in real flight conditions.…”
Section: Main Contributionsmentioning
confidence: 99%
“…Therefore, the switching algorithm with arbitrary switching rule needs to be improved in terms of accuracy and the switching rules can be optimized in the next step. In future work, the average dwell time 7 Complexity switching method or the event-driven switching method will be considered to improve the filtering accuracy and the robustness for the image processing filter system [24][25][26][27][28][29][30][31].…”
Section: Remarkmentioning
confidence: 99%