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A distributed cooperative control law for persistent coverage tasks is proposed, capable of coordinating a team of heterogeneous agents in a structured environment. Team heterogeneity is considered both at vehicles' dynamics and at coverage…

系统与控制 · 计算机科学 2019-04-30 Alberto Mellone , Giovanni Franzini , Lorenzo Pollini , Mario Innocenti

In this paper, a new yet indirect performance guaranteed framework is established to address the distributed tracking control problem for networked uncertain nonlinear strict-feedback systems with unknown time-varying gains under a directed…

系统与控制 · 电气工程与系统科学 2022-07-13 Zeqiang Li , Yujuan Wang , Xiucai Huang

This paper presents a fully automated procedure for controller synthesis for multi-agent systems under coupled constraints. Each agent has dynamics consisting of two terms: the first one models the coupled constraints and the other one is…

系统与控制 · 计算机科学 2016-09-20 Alexandros Nikou , Dimitris Boskos , Jana Tumova , Dimos V. Dimarogonas

Time-varying hierarchical multi-agent systems are common in many applications. A well-known solution to control these systems is to use state feedback controllers that depend on the adjacency matrix to reach consensus. This solution has…

系统与控制 · 电气工程与系统科学 2022-12-02 Victor Daniel Reyes Dreke , Mircea Lazar

Synchronization control in arrays of identical output-coupled continuous-time linear systems is studied. Sufficiency of new conditions for the existence of a synchronizing feedback law are analyzed. It is shown that for neutrally stable…

动力系统 · 数学 2008-11-24 S. Emre Tuna

The non-consensus problems of high order linear time-invariant dynamical homogeneous multi-agent systems are concerned. Based on the conditions of consensus achievement, the mechanisms that lead to non-consensus motions are analyzed.…

系统与控制 · 计算机科学 2018-08-01 Ning Cai , Chun-Lin Deng , Qiu-Xuan Wu

This paper proposes a reinforcement learning (RL)-based backstepping control strategy to achieve fixed time consensus in nonlinear multi-agent systems with strict feedback dynamics. Agents exchange only output information with their…

系统与控制 · 电气工程与系统科学 2025-07-23 Aria Delshad , Maryam Babazadeh

In this note, we present a novel synchronization framework for heterogeneous multi-agent systems enabled by neuro-spike communication, which induces emergence. Unlike conventional synchronization strategies that require continuous…

系统与控制 · 电气工程与系统科学 2025-12-08 Hyeonyeong Jang , Donghyeon Song , Jin Gyu Lee , Hyungbo Shim

This paper proposes a self-triggered synchronization control method of a general high-order linear time-invariant multi-agent system through a cloud repository. In the cloud-mediated self-triggered control, each agent asynchronously…

系统与控制 · 电气工程与系统科学 2026-03-24 Takumi Namba , Kiyotsugu Takaba

Coordinating multiple autonomous agents to reach a target region while avoiding collisions and maintaining communication connectivity is a core problem in multi-agent systems. In practice, agents have a limited communication range. Thus,…

系统与控制 · 电气工程与系统科学 2026-04-14 Shiyu Cheng , Luyao Niu , Bhaskar Ramasubramanian , Andrew Clark , Radha Poovendran

Multi-agent systems cooperation to achieve global goals is usually limited by sensing, actuation, and communication issues. At the local level, continuous measurement and actuation is only approximated by the use of digital mechanisms that…

最优化与控制 · 数学 2016-11-18 Eloy Garcia , Yongcan Cao , David W. Casbeer

In this paper, a heterogeneous leader-followers multiagent system is studied under simultaneous time-varying communication faults and actuator faults. First, the state of the leader is modelled as the closed-loop reference model where the…

动力系统 · 数学 2024-01-25 Leyi Zheng , Yimin Zhou

Interference coupling in heterogeneous networks introduces the inherent non-convexity to the network resource optimization problem, hindering the development of effective solutions. A new framework based on multi-pattern formulation has…

网络与互联网体系结构 · 计算机科学 2016-11-17 Quan Kuang , Xiangbin Yu , Wolfgang Utschick

This paper proposes a funnel control method under time-varying hard and soft output constraints. First, an online funnel planning scheme is designed that generates a constraint consistent funnel, which always respects hard (safety)…

系统与控制 · 电气工程与系统科学 2026-03-20 Farhad Mehdifar , Charalampos P. Bechlioulis , Dimos V. Dimarogonas

A distributed adaptive control strategy is developed for heterogeneous multiagent systems in nonlinear Brunovsky form with \({\pd}\)-dimensional $n^{\text{th}}$-order dynamics, operating under time-triggered switching communication…

系统与控制 · 电气工程与系统科学 2025-09-10 Armel Koulong , Ali Pakniyat

In this paper we consider the problem of a multi-agent system achieving a formation in the presence of misbehaving or adversarial agents. We introduce a novel continuous time resilient controller to guarantee that normally behaving agents…

系统与控制 · 计算机科学 2021-06-11 James Usevitch , Kunal Garg , Dimitra Panagou

Model predictive control strategies require to solve in an sequential manner, many, possibly non-convex, optimization problems. In this work, we propose an interacting stochastic agent system to solve those problems. The agents evolve in…

最优化与控制 · 数学 2023-12-21 Giacomo Borghi , Michael Herty

This paper considers an internal model based distributed control approach to the cooperative output regulation problem of heterogeneous linear time-invariant multiagent systems over fixed directed communication graph topologies. First, a…

最优化与控制 · 数学 2019-08-16 Selahattin Burak Sarsilmaz , Tansel Yucelen

When are multi-agent LLM systems merely a collection of individual agents versus an integrated collective with higher-order structure? We introduce an information-theoretic framework to test -- in a purely data-driven way -- whether…

多智能体系统 · 计算机科学 2026-04-30 Christoph Riedl

We present a sequential distributed model predictive control (MPC) scheme for cooperative control of multi-agent systems with dynamically decoupled heterogeneous nonlinear agents subject to individual constraints. In the scheme, we explore…

系统与控制 · 电气工程与系统科学 2024-06-13 Matthias Köhler , Matthias A. Müller , Frank Allgöwer