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Leadership Hierarchy-based Formation Control via Adaptive Chaotic Pigeon-inspired Optimization

机译:基于领导层级的形成控制通过自适应混沌鸽子启发优化

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Formation control of multi-agent systems (MASs) is a significant research subject in the field of cooperative control. In this paper, we propose a novel consensus-based formation control approach with minimal resource cost and excellent adaptability for second-order nonlinear multi-agent systems. Specifically, an improved constrained adaptive chaotic pigeon-inspired optimization algorithm (ACPIO) is proposed for tuning parameters, which promotes the automation of controller design and alleviates the workload of conventional designer. Moreover, a variant of pinning control method integrating with hierarchical leadership model of pigeon flocks is introduced, which achieves excellent adaptability and reduces computational complexity simultaneously. Additionally, sufficient conditions are derived for achieving the desired formation pattern based on Lyapunov stability theory and matrix theory. Numerical simulation results demonstrate the feasibility and effectiveness of the proposed method for formation control of second-order nonlinear MASs.
机译:多助理系统(质量)的形成控制是合作控制领域的重要研究主题。在本文中,我们提出了一种新的基于协商的基于共识的形成控制方法,具有最小的资源成本和对二阶非线性多元剂系统的优异适应性。具体地,提出了一种改进的约束的自适应混沌鸽激发优化算法(ACPIO),用于调谐参数,这促进了控制器设计的自动化,并减轻了传统设计者的工作量。此外,引入了与鸽子群分层领导模型集成的钉扎控制方法的变体,实现了优异的适应性,同时降低了计算复杂性。另外,用于基于Lyapunov稳定性理论和矩阵理论实现足够的条件以实现所需的形成模式。数值模拟结果证明了二阶非线性质量形成控制的拟议方法的可行性和有效性。

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