Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning
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TLDR
This paper considers optimal output synchronization of heterogeneous linear multi-agent systems and shows that this optimal distributed approach implicitly solves the output regulation equations without actually doing so.About:
This article is published in Automatica.The article was published on 2016-09-01 and is currently open access. It has received 128 citations till now. The article focuses on the topics: Synchronization (computer science) & Reinforcement learning.read more
Citations
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Journal ArticleDOI
Adaptive Dynamic Programming for Control: A Survey and Recent Advances
TL;DR: In this article, the adaptive dynamic programming (ADP) with applications in control is reviewed, and the use of ADP to solve game problems, mainly nonzero-sum game problems is elaborated.
Journal ArticleDOI
Leader–Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning
TL;DR: In this article, an off-policy reinforcement learning algorithm is developed to solve the inhomogeneous algebraic Riccati equations (AREs) online in real time and without requiring any knowledge of the agents' dynamics.
Journal ArticleDOI
Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders
TL;DR: This brief presents a partially model-free solution to the distributed containment control of multiagent systems using off-policy reinforcement learning (RL) using inhomogeneous algebraic Riccati equations (AREs) to solve the optimal containment control with active leaders.
Journal ArticleDOI
Data-Driven Distributed Optimal Consensus Control for Unknown Multiagent Systems With Input-Delay
TL;DR: A policy iteration algorithm based on distributed asynchronous update mechanism is proposed to learn the coupled Hamilton–Jacobi–Bellman equations online and the measured data-based critic-actor neural networks are adopted to approximate the value functions and the control policies, respectively.
Journal ArticleDOI
Optimal Robust Output Containment of Unknown Heterogeneous Multiagent System Using Off-Policy Reinforcement Learning
TL;DR: A model-free off-policy integral reinforcement learning algorithm is proposed to solve the optimal robust output containment problem of heterogeneous MAS, in real time, without requiring any knowledge of the system dynamics.
References
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Consensus problems in networks of agents with switching topology and time-delays
TL;DR: A distinctive feature of this work is to address consensus problems for networks with directed information flow by establishing a direct connection between the algebraic connectivity of the network and the performance of a linear consensus protocol.
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Coordination of groups of mobile autonomous agents using nearest neighbor rules
Ali Jadbabaie,Jie Lin,A.S. Morse +2 more
TL;DR: A theoretical explanation for the observed behavior of the Vicsek model, which proves to be a graphic example of a switched linear system which is stable, but for which there does not exist a common quadratic Lyapunov function.
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Information consensus in multivehicle cooperative control
TL;DR: Theoretical results regarding consensus-seeking under both time invariant and dynamically changing communication topologies are summarized in this paper, where several specific applications of consensus algorithms to multivehicle coordination are described.
BookDOI
Distributed Consensus in Multi-vehicle Cooperative Control
Wei Ren,Randal W. Beard +1 more
TL;DR: In this article, the authors present a survey of the use of consensus algorithms in multi-vehicle cooperative control, including single-and double-integrator dynamical systems, rigid-body attitude dynamics, rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
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Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint
TL;DR: In this article, a distributed observer-type consensus protocol based on relative output measurements is proposed to solve the consensus problem of multi-agent systems with a time-invariant communication topology consisting of general linear node dynamics.
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