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Containment Control of Multi-Agent Systems with Dynamic Leaders Based on a $PI^n$-Type Approach

机译:基于aHp的动态领导多agent系统遏制控制   $ pI ^ n $ -Type方法

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摘要

This paper studies the containment control problem of multi-agent systemswith multiple dynamic leaders in both the discrete-time domain and thecontinuous-time domain. The leaders' motions are described by $(n-1)$-orderpolynomial trajectories. This setting makes practical sense because given somecritical points, the leaders' trajectories are usually planned by thepolynomial interpolations. In order to drive all followers into the convex hullspanned by the leaders, a $PI^n$-type ($P$ and $I$ are short for {\itProportion} and {\it Integration}, respectively; $I^n$ implies that thealgorithm includes high-order integral terms) containment algorithm isproposed. It is theoretically proved that the $PI^n$-type containment algorithmis able to solve the containment problem of multi-agent systems where thefollowers are described by any order integral dynamics. Compared with theprevious results on the multi-agent systems with dynamic leaders, thedistinguished features of this paper are that: (1) the containment problem isstudied not only in the continuous-time domain but also in the discrete-timedomain while most existing results only work in the continuous-time domain; (2)to deal with the leaders with the $(n-1)$-order polynomial trajectories,existing results require the follower's dynamics to be $n$-order integral whilethe followers considered in this paper can be described by any-order integral;and (3) the "sign" function is not employed in the proposed algorithm, whichavoids the chattering phenomenon. Furthermore, in order to illustrate thepractical value of the proposed approach, an application, the containmentcontrol of multiple mobile robots is studied. Finally, two simulation examplesare given to demonstrate the effectiveness of the proposed algorithm.
机译:本文研究了在离散时间域和连续时间域中具有多个动态领导者的多智能体系统的控制问题。领导者的动作由(n-1)美元阶多项式轨迹描述。此设置具有实际意义,因为给定一些关键点,通常通过多项式插值来规划领导者的轨迹。为了将所有追随者带入由领导者跨越的凸包中,使用$ PI ^ n $类型($ P $和$ I $分别表示{\ itProportion}和{\ it Integration}的缩写; $ I ^ n提出算法包含高阶积分项)提出了包含算法。从理论上证明$ PI ^ n $型包含算法能够解决多代理系统的包含问题,其中跟随者是用任意阶积分动力学描述的。与具有动态领导者的多智能体系统上的先前结果相比,本文的显着特征是:(1)不仅在连续时间域而且在离散时域研究了遏制问题,而大多数现有结果只起作用在连续时间范围内; (2)以(n-1)$阶多项式轨迹与领导者打交道,现有结果要求跟随者的动力学是$ n $阶积分,而本文所考虑的跟随者可以用任意阶积分来描述(3)在该算法中没有采用“符号”函数,从而避免了抖动现象。此外,为了说明所提方法的实用价值,研究了一种应用,研究了多个移动机器人的围堵控制。最后,给出了两个仿真实例来说明所提算法的有效性。

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