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Event-Based Time Varying Formation Control for Multiple Quadrotor UAVs with Markovian Switching Topologies

机译:具有马尔可夫切换拓扑的多旋翼无人机基于事件的时变编队控制

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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 topologies in line with the practical communication network. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out, while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on six quadrotor UAVs are given to verify the effectiveness of the theoretical results.
机译:通过改进的动态事件触发控制协议,研究了一组马尔可夫切换拓扑下的四旋翼无人机的时变编队控制问题。地层形状由时变矢量指定,该矢量规定了整个代理之间的相对位置和方位。代替一般的随机拓扑,该图由到边缘的一组马尔可夫链控制,这可以恢复符合实际通信网络的传统马尔可夫交换拓扑。整个闭环系统状态空间起源的稳定性证明来自奇异摄动法和Lyapunov稳定性理论。在获取令人满意的资源效率的同时,精心地执行了根据动态变化的阈值参数进行事件触发的编队控制协议,并且排除了触发时间序列的芝诺行为。最后,对六个四旋翼无人机进行了仿真,以验证理论结果的有效性。

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