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相关论文: Receding Horizon Control Based Consensus Scheme in…

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The consensus control with optimal cost remains major challenging although consensus control problems have been well studied in recent years. In this paper, we study the consensus control of multi-agent system associated with a given cost…

最优化与控制 · 数学 2018-03-28 Juanjuan Xu , Huanshui Zhang

This paper addresses the problem of positive consensus of directed multi-agent systems with observer-type output-feedback protocols. More specifically, directed graph is used to model the communication topology of the multi-agent system and…

最优化与控制 · 数学 2020-09-02 Nachuan Yang , Yonghua Yin , Jinrong Liu

Optimal control problems with a very large time horizon can be tackled with the Receding Horizon Control (RHC) method, which consists in solving a sequence of optimal control problems with small prediction horizon. The main result of this…

最优化与控制 · 数学 2020-02-03 Tobias Breiten , Laurent Pfeiffer

This paper studies an optimal consensus problem for a group of heterogeneous high-order agents with unknown control directions. Compared with existing consensus results, the consensus point is further required to an optimal solution to some…

最优化与控制 · 数学 2020-07-28 Yutao Tang

This paper investigates the distributed optimal output consensus problem of heterogeneous linear multi-agent systems over weight-unbalanced directed networks. A novel distributed continuous-time state feedback controller is proposed to…

最优化与控制 · 数学 2022-09-02 Jin Zhang , Lu Liu , Haibo Ji , Xinghu Wang

This paper addresses the distributed consensus protocol design problem for multi-agent systems with general linear dynamics and directed communication graphs. Existing works usually design consensus protocols using the smallest real part of…

最优化与控制 · 数学 2016-11-15 Zhongkui Li , Guanghui Wen , Zhisheng Duan , Wei Ren

This paper revisits the problem of multi-agent consensus from a graph signal processing perspective. Describing a consensus protocol as a graph spectrum filter, we present an effective new approach to the analysis and design of consensus…

系统与控制 · 计算机科学 2018-08-07 Jingwen Yi , Li Chai , Jingxin Zhang

This paper focuses on the problem of distributed consensus control of multi-agent systems while considering two main practical concerns (i) stochastic noise in the agent dynamics and (ii) predefined performance constraints over evolutions…

系统与控制 · 电气工程与系统科学 2022-03-09 Pushpak Jagtap , Dimos V. Dimarogonas

This paper proposes a new approach to analyze and synthesize robust consensus control laws for general linear leaderless multi-agent systems (MASs) subjected to input constraints or uncertainties. First, the MAS under input constraints or…

最优化与控制 · 数学 2016-05-17 Dinh Hoa Nguyen , Tatsuo Narikiyo , Michihiro Kawanishi

This work aims to address the design of fully distributed control protocols for stochastic consensus, and, for the first time, establishes the existence and uniqueness of solutions for the path-dependent and highly nonlinear closed-loop…

系统与控制 · 电气工程与系统科学 2026-04-01 Xuping Hou , Xiaofeng Zong , Yong He

This paper considers the consensusability of multi-agent systems with delay and packet dropout. By proposing a kind of predictor-like protocol, sufficient and necessary conditions are given for the mean-square consensusability in terms of…

最优化与控制 · 数学 2018-04-23 Juanjuan Xu , Huanshui Zhang , Lihua Xie

In this paper, a novel two-level framework was proposed and applied to solve the output average consensus problem over heterogeneous multi-agent systems. This approach is mainly based on the recent technique of system abstraction. For given…

系统与控制 · 计算机科学 2017-02-03 Yutao Tang

This paper presents a distributed adaptive control strategy for multi-agent systems with heterogeneous dynamics and collision avoidance. We propose an adaptive control strategy designed to ensure leader-following formation consensus while…

系统与控制 · 电气工程与系统科学 2024-10-14 Armel Koulong , Ali Pakniyat

%!TEX root = LCSS_main_max.tex The widespread adoption of nonlinear Receding Horizon Control (RHC) strategies by industry has led to more than 30 years of intense research efforts to provide stability guarantees for these methods. However,…

最优化与控制 · 数学 2024-01-29 Tyler Westenbroek , Max Simchowitz , Michael I. Jordan , S. Shankar Sastry

In this paper, we propose a distributed differentially private receding horizon control (RHC) approach for multi-agent systems (MAS) with metric temporal logic (MTL) specifications. In the MAS considered in this paper, each agent privatizes…

系统与控制 · 电气工程与系统科学 2022-10-05 Nasim Baharisangari , Zhe Xu

This paper proposes a novel approach to design reduced-order distributed consensus controllers for multi-agent systems (MASs) with identical linear dynamics of agents. A new model namely edge dynamics representing the differences on agents'…

系统与控制 · 计算机科学 2016-05-13 Dinh Hoa Nguyen

A novel modelling framework is proposed for the analysis of aggregative games on an infinite-time horizon, assuming that players are subject to heterogeneous periodic constraints. A new aggregative equilibrium notion is presented and the…

系统与控制 · 电气工程与系统科学 2022-07-04 Filiberto Fele , Antonio De Paola , David Angeli , Goran Strbac

This paper addresses the adaptive consensus problem in uncertain multi-agent systems, particularly under challenges posed by quantized communication. We consider agents with general linear dynamics subject to nonlinear uncertainties and…

最优化与控制 · 数学 2025-06-10 Woocheol Choi , Piljae Jang

The distributed optimal output consensus problem for high-order multi-agent systems has been studied recently. In this paper, we further focus on the same problem for high-order multi-agent systems subject to parametric uncertainties and…

系统与控制 · 电气工程与系统科学 2021-11-23 Yutao Tang , Kui Zhu

We study distributed output feedback control for a heterogeneous multi-agent system (MAS), consisting of N different continuous-time linear dynamical systems. For achieving output consensus, a virtual reference model is assumed to generate…

最优化与控制 · 数学 2016-10-31 Luis D. Alvergue , Abhishek Pandey , Guoxiang Gu , Xiang Chen