Coordinated target assignment and intercept for unmanned air vehicles

Beard, Randal W.; McLain, Timothy W.; Goodrich, Michael A.

doi:10.1109/robot.2002.1013620

Cited by 167 publications

(165 citation statements)

References 10 publications

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“…The main challenging problem is to design an appropriate protocol-based only on the local relative information [1]- [4]. In the past decades, consensus of multiagent systems has received significant research due to its widespread applications in sensor networks [5], [6], information control [7], robotic teams, spacecraft formation flying [8], and so on.…”

Section: Introductionmentioning

confidence: 99%

Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control

Jiang

2018

IEEE Trans. Syst. Man Cybern, Syst.

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In this paper, a periodic intermittent sampled data control strategy, which both reduces the load of updating rate of the controller and cuts down the working time of the controller in each sampling interval, is proposed to investigate the second-order consensus of multiagent systems. In order to reach consensus, a necessary and sufficient condition depending on the coupling gains, the communication width, the sampling period, and the spectrum of the Laplacian matrix, is established. Furthermore, the feasible region of communication width is derived for given coupling gains and structure of network. Besides, the coupling gains are also carefully designed. On the other hand, when the time delay exists in the sampling process, a time delayed protocol is proposed. A necessary and sufficient condition based on the communication width, the sampling period, the coupling gains, the time delay, and the network structure is also derived for achieving consensus. It is amazing found that the sampling period should have both lower and upper bounds for given time delay and communication width for the sake of reaching consensus. Finally, several numerical simulations are presented to demonstrate the effectiveness of the theoretical results.

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Section: Introductionmentioning

confidence: 99%

Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control

Jiang

2018

IEEE Trans. Syst. Man Cybern, Syst.

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“…THE use of unmanned aerial vehicles (UAVs) has increased dramatically in the last two decades, both in military [1], [2], [3] and civilian [4], [5], [6] applications. Military applications include reconnaissance and tracking, providing a communication relay, and conducting search and destroy missions.…”

Section: Introductionmentioning

confidence: 99%

Targets tracking by UAVs in an urban area

Lum

2013

2013 10th IEEE International Conference on Control and Automation (ICCA)

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In this work we address the problem of autonomously tracking a group of ground static targets in an urban area using fixed wing unmanned aerial vehicles (UAVs). In this scenario, UAVs are equipped with sensors that are subject to the constraints of urban area occlusions. Information regarding the line of sight (LOS) occlusions in the urban area is assumed available. Each UAV, considering the dynamic constrains arising from the fixed wing, is modeled as a Dubins car. The motion planning of searching the shortest path for UAVs, namely Dubins path, is a NP hard problem. We propose an algorithm, which can provide sub-optimal Dubins path, hence can bring a closed-loop path for UAVs to continuously track the group of static targets and minimize the time of loss track. The proposed algorithm is validated through simulations on a visual database that is based on the CBD in Singapore.

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“…In the networked MAS, consensus means to drive the information states of all agents to a common value. Due to recent technological advances in communication and computation, consensus problems of multi-agent systems have drawn substantial research efforts to many practical applications such as cooperative control of unmanned vehicles [6], [7], sensor networks [8] and mobile robots [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy sliding-mode consensus control for multi-agent systems

Chang

2011

Proceedings of the 2011 American Control Conference

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A fuzzy sliding-mode consensus control is investigated for multi-agent systems in this paper. The consensus problem is discussed for networks of dynamic agents with external disturbances and model uncertainty. To deal with the consensus problems of the multi-agent system, a novel consensus algorithm combining the concepts of graph theory and fuzzy slidingmodel control is proposed. According to the communication topology, the consensus stability conditions can be determined so that the fuzzy sliding-mode consensus controller (FSMCC) can be derived. Simulation results are provided to illustrate the effectiveness of the provided control scheme. Compared to the conventional consensus algorithms, the simulation results empirically support the promising performance of desire.The authors are with the

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Coordinated target assignment and intercept for unmanned air vehicles

Cited by 167 publications

References 10 publications

Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control

Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control

Targets tracking by UAVs in an urban area

Fuzzy sliding-mode consensus control for multi-agent systems

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