Bipartite Output Formation Tracking Control for Discrete-Time Singular Heterogenous Multi-Agent Systems

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jie Zhang;Yao Yao;Jian-An Wang;Xiaolei Li;Da-Wei Ding
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引用次数: 0

Abstract

In this paper, the distributed bipartite output formation control problem of heterogeneous discrete-time singular multi-agent systems (MASs) is studied under the cooperative-competition network. Different from the classical formation control issue, the leader (also called exosystem) is also described by more general discrete-time singular dynamics. Based on the cooperative output regulation theory, the bipartite output formation with two opposing subgroups is realized by reconstructing bipartite tracking error and singular exosystem. To obtain the bipartite state of exosystem, a new exosystem observer associated with discrete-time singular algebraic Riccati equation (ARE) and signed directed topological matrix is designed. The observer coupling gains are introduced to enable the global error system to be included in the stability region of the unit circle. Then under the singular regulator equations and the separation principle, two classes of distributed observed-based controllers via state and output feedbacks are respectively presented for bipartite formation scenarios where the states of followers are known and unknown. Moreover, by redefining the expected relative dynamic positions, the proposed control strategies can be extended to achieve time-varying bipartite output formation. Finally, simulation results are given to verify the feasibility and effectiveness of the proposed algorithms. Note to Practitioners—Formation control of MASs plays a critical role in achieving effective coordination of distributed units, enhancing operational effectiveness, optimizing resource allocation, and improving overall production efficiency. This approach has broad applications across various industries, including transportation, energy, and both military and civilian applications, thereby fostering social and economic development. However, in practical applications such as autonomous aerial vehicle (AAV) clustering cooperative search and intelligent robot symmetrical formation, there exist several challenges: (1) the absence of stability analysis tools in discrete-time singular MASs; (2) the heterogeneity in dynamic characteristics; (3) the complex cooperative-competitive interactions among agents. This paper therefore studies the bipartite output formation control problem for heterogeneous discrete-time singular MASs. Specially, the autonomous exosystem with singular dynamics is seen as a leader and the corresponding new observer is introduced. By proposing distributed state and output feedback control protocols based on regulator equations, the followers maintain both fixed and time-varying relative positions with the exosystem. Furthermore, the proposed bipartite formation control strategies can be extended to address related bipartite consensus and formation problems.
离散时间奇异异质多智能体系统的二部输出编队跟踪控制
研究了合作竞争网络下异构离散时间奇异多智能体系统(MASs)的分布式二部输出编队控制问题。与经典的群体控制问题不同,前导系统(也称为外系统)也用更一般的离散时间奇异动力学来描述。基于协同输出调节理论,通过重构二部跟踪误差和奇异外系统,实现了具有两个对立子群的二部输出编队。为了获得系外系统的二部态,设计了一种与离散时间奇异代数Riccati方程(ARE)和符号有向拓扑矩阵相关联的系外系统观测器。引入观测器耦合增益,使全局误差系统被包含在单位圆的稳定区域内。然后,在奇异调节器方程和分离原理下,分别给出了两类基于状态反馈和输出反馈的基于状态观察的分布式控制器。此外,通过重新定义期望的相对动态位置,所提出的控制策略可以扩展到实现时变二部输出的形成。最后给出了仿真结果,验证了所提算法的可行性和有效性。从业者须知——群体的编队控制对于实现分布单元的有效协调,增强作战效能,优化资源配置,提高整体生产效率具有至关重要的作用。这种方法广泛应用于各种行业,包括交通运输、能源、军事和民用,从而促进社会和经济发展。然而,在实际应用中,如自主飞行器(AAV)聚类协同搜索和智能机器人对称编队,存在以下几个挑战:(1)缺乏离散时间奇异质量稳定性分析工具;(2)动力特性的异质性;(3)主体间复杂的合作-竞争互动。因此,本文研究了非均匀离散奇异质量的二部输出编队控制问题。特别地,将具有奇异动力学的自主系外系统看作一个领导者,并引入相应的新观测器。通过提出基于调节器方程的分布式状态和输出反馈控制协议,跟踪者与外部系统保持固定和时变的相对位置。此外,所提出的二部群体控制策略可以推广到解决相关的二部共识和群体问题。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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