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A control-design-based solution to robotic ecology: Autonomy of achieving cooperative behavior from a high-level astronaut command

机译:基于控制设计的机器人生态解决方案:从高级宇航员命令实现协作行为的自主权

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摘要

In this paper, we propose a cooperative control strategy for a group of robotic vehicles to achieve the specified task issued from a high-level astronaut command. The problem is mathematically formulated as designing the cooperative control for a general class of multiple-input-multiple-output (MIMO) dynamical systems in canonical form with arbitrary but finite relative degrees such that the outputs of the overall system converge to the explicitly given steady state. The proposed cooperative control for individual vehicle only need to use the sensed and communicated outputs information from its local neighboring vehicles. No fixed leader and time-invariant communication networks are assumed among vehicles. Particularly, a set of less-restrictive conditions on the connectivity of the sensor/communication networks are established, under which it is rigorously proven by using the newly found nice properties of the convergence of sequences of row stochastic matrices that the cooperative objective of the overall system can be achieved. Simulation results for a group of vehicles achieving a target and surrounding a specified object in formation are provided to support the proposed approach in this paper.
机译:在本文中,我们为一组机器人车辆提出了一种协作控制策略,以实现高级航天员命令发出的指定任务。该问题在数学上被公式化为设计通用类的具有任意但有限相对程度的规范形式的多输入多输出(MIMO)动力学系统的协作控制,从而使整个系统的输出收敛到明确给出的稳态州。所提出的针对单个车辆的协同控制仅需要使用其本地相邻车辆的感测和传达的输出信息。车辆之间没有固定的领导者和时不变的通信网络。特别是,建立了一组对传感器/通信网络的连通性的限制较少的条件,在此条件下,通过使用新发现的行随机矩阵序列的收敛性的良好特性,严格证明了这一点:系统可以实现。提供了一组达到目标并包围指定目标的车辆的仿真结果,以支持本文提出的方法。

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