On the Design of Unscented Kalman Filter-Based Multi-Agent Target Interception Control

S. P, J. Jacob, R. Ramchand
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Abstract

This paper discusses a distance-based control scheme for the multi-agent target interception problem. Using the concept of graph rigidity, a novel Unscented Kalman Filter-based control law is proposed for the multi-agent target interception with single integrator agent dynamics. The control law is formulated at the velocity level and is built on the rigidity characteristics of the graph that depicts the interactions between the agents' sensing and communication. The proposed control scheme includes a formation acquisition term that depends on the graph rigidity matrix as well as a target interception term to take into consideration the unknown target motion velocity using the estimates from the unscented Kalman filter(UKF). A Lyapunov analysis demonstrates that the desired formation geometry is acquired exponentially while the leader is tracking the target motion. Finally, the efficacy of the proposed control law is validated through the simulation results. The chatter-free control signal further demonstrates the superiority of the UKF-based control law.
基于无气味卡尔曼滤波的多智能体目标拦截控制设计
本文讨论了一种基于距离的多智能体目标拦截控制方案。利用图刚性的概念,提出了一种基于无气味卡尔曼滤波的单积分器动态多智能体目标拦截控制律。控制律是在速度水平上制定的,并建立在描述智能体感知和通信之间相互作用的图的刚性特征上。提出的控制方案包括一个依赖于图刚度矩阵的编队获取项和一个考虑未知目标运动速度的目标拦截项,该目标拦截项使用无气味卡尔曼滤波器(UKF)的估计。李雅普诺夫分析表明,当领导者跟踪目标运动时,所需的地层几何形状以指数方式获得。最后,通过仿真结果验证了所提控制律的有效性。无抖振控制信号进一步证明了基于ukf控制律的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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