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We propose an approach to design a Model Predictive Controller (MPC) for constrained Linear Time Invariant systems performing an iterative task. The system is subject to an additive disturbance, and the goal is to learn to satisfy state and…

系统与控制 · 电气工程与系统科学 2023-06-13 Monimoy Bujarbaruah , Akhil Shetty , Kameshwar Poolla , Francesco Borrelli

This paper focuses on the consensus and formation problems of multiagent systems under unknown persistent disturbances. Specifically, we propose a novel method that combines an existing consensus (or formation) algorithm with a new…

最优化与控制 · 数学 2013-10-15 Tansel Yucelen , Magnus Egerstedt

The problem of consensus in the presence of adversarially behaving agents has been studied extensively in the literature. The proposed algorithms typically guarantee that the consensus value lies within the convex hull of initial normal…

系统与控制 · 电气工程与系统科学 2019-06-20 James Usevitch , Dimitra Panagou

In this paper, we study the leader-following consensus problem of multiple Euler-Lagrange systems subject to an uncertain leader system. We first establish an adaptive distributed observer for a neutrally stable linear leader system whose…

系统与控制 · 电气工程与系统科学 2019-09-18 Shimin Wang , Jie Huang

Two finite-time consensus protocols are proposed for multi-dimensional multi-agent systems, using direction-preserving and component-wise signum controls respectively. Filippov solutions and non-smooth analysis techniques are adopted to…

最优化与控制 · 数学 2017-05-08 Jieqiang Wei , Bart Besselink , Junfeng Wu , Henrik Sandberg , Karl H. Johansson

We study resilient leader-follower consensus of multi-agent systems (MASs) in the presence of adversarial agents, where agents' communication is modeled by time-varying topologies. The objective is to develop distributed algorithms for the…

多智能体系统 · 计算机科学 2024-11-18 Liwei Yuan , Hideaki Ishii

This paper addresses the challenge of network synchronization under limited communication, involving heterogeneous agents with different dynamics and various network topologies, to achieve consensus. We investigate the distributed adaptive…

系统与控制 · 电气工程与系统科学 2025-04-08 Moh. Kamalul Wafi , Milad Siami

The focus of this paper is directed towards optimal control of multi-agent systems consisting of one leader and a number of followers in the presence of noise. The dynamics of every agent is assumed to be linear, and the performance index…

最优化与控制 · 数学 2020-12-02 Jalal Arabneydi , Mohammad M. Baharloo , Amir G. Aghdam

The linear programming (LP) approach is, together with value iteration and policy iteration, one of the three fundamental methods to solve optimal control problems in a dynamic programming setting. Despite its simple formulation,…

系统与控制 · 电气工程与系统科学 2023-10-31 Lucia Falconi , Andrea Martinelli , John Lygeros

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 address the problem of prescribed-time leader-following consensus of heterogeneous multi-agent systems (MASs) in the presence of unknown sensor sensitivity. Under a connected undirected topology, we propose a time-varying…

系统与控制 · 电气工程与系统科学 2024-04-26 Hefu Ye , Changyun Wen , Yongduan Song

This paper proposes a model predictive controller for discrete-time linear systems with additive, possibly unbounded, stochastic disturbances and subject to chance constraints. By computing a polytopic probabilistic positively invariant set…

最优化与控制 · 数学 2024-09-23 Kai Wang , Kiet Tuan Hoang , Sébastien Gros

This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems with unknown discrete-time agent dynamics, where each follower computes its local control gain using only their locally collected state…

系统与控制 · 电气工程与系统科学 2024-01-24 Zeze Chang , Junjie Jiao , Zhongkui Li

This paper presents an ellipsoidal set-theoretic framework for robust safety filter synthesis in constrained linear systems subject to additive bounded disturbances and input constraints. We formulate the safety filter design as a convex…

系统与控制 · 电气工程与系统科学 2025-10-28 Reza Pordal , Alireza Sharifi , Ali Baniasad

This paper investigates a decentralized design approach of leader-following consensus protocols for heterogeneous multiagent systems under a fixed communication topology with a directed spanning tree (DST) and asymmetric weight matrix.…

最优化与控制 · 数学 2026-03-18 Lanhao Zhao , Yangzhou Chen

In this paper, we study the leader-following consensus problem for a class of uncertain nonlinear multi-agent systems under jointly connected directed switching networks. The uncertainty includes constant unbounded parameters and external…

最优化与控制 · 数学 2017-03-29 Wei Liu , Jie Huang

We consider the problem of stabilization of a linear system, under state and control constraints, and subject to bounded disturbances and unknown parameters in the state matrix. First, using a simple least square solution and available…

系统与控制 · 电气工程与系统科学 2020-07-22 Edouard Leurent , Denis Efimov , Odalric-Ambrym Maillard

In this paper, the practical output consensus problem for heterogeneous high-order leader-follower multi-agent systems under directed communication topology containing a directed spanning tree and subject to large-scale mismatched…

最优化与控制 · 数学 2023-03-06 Mengling Li , Ze-Hao Wu , Feiqi Deng , Zhi-Liang Zhao

This paper studies the problem of safe and optimal continuum deformation of a large-scale multi-agent system (MAS). We present a novel approach for MAS continuum deformation coordination that aims to achieve safe and efficient agent…

多智能体系统 · 计算机科学 2023-04-17 Harshvardhan Uppaluru , Hossein Rastgoftar

The leader-following consensus problem for general linear multi-agent systems over jointly connected switching networks has been a challenging problem and the solvability of the problem has been limited to the class of linear multi-agent…

最优化与控制 · 数学 2026-03-20 Yuhan Chen , Tao Liu , Jie Huang