Online Optimal Synchronization of Nonlinear Multi-agent Systems under Unknown Dynamics

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Tatari Farzaneh; Naghibi MohammadB

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Journal Paper

Paper Information

Journal: Journal of Control Year:2018 | Volume:12 | Issue:3 Page(s): 13-28

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Information Journal Paper

Title

Online Optimal Synchronization of Nonlinear Multi-agent Systems under Unknown Dynamics

Author(s)

Tatari Farzaneh | Naghibi MohammadB | Issue Writer Certificate

Keywords

Actor-Critic ApproximatorsQ1

Approximate Dynamic ProgrammingQ1

Multi-Agent SystemsQ2

Optimal Distributed ControlQ1

SynchronizationQ1

Abstract

In this paper an online optimal distributed algorithm is introduced for Multi-Agent Systems Synchronization under unknown dynamics based on Approximate Dynamic Programming and neural networks. Every agent has employed an actor-critic structure to learn its distributed optimal policy and the unknown dynamics of every agent is identified by employing a neural network approximator. The unknown dynamics are identified based on the experience replay technique where the recorded data and current data are used to adopt the approximators weights. The introduced algorithm learns the solution of coupled Hamilton-Jacobi equations under unknown dynamics in an online fashion. While the weights of the identifiers and Actor-Critic Approximators are being tuned, the boundedness of the closed loop system signals are assured using Lyapunov theory. The effectiveness of the proposed algorithm is shown through the simulation results.

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APA: Copy

Tatari, Farzaneh, & Naghibi, MohammadB. (2018). Online Optimal Synchronization of Nonlinear Multi-agent Systems under Unknown Dynamics. JOURNAL OF CONTROL, 12(3 ), 13-28. SID. https://sid.ir/paper/120817/en

Vancouver: Copy

Tatari Farzaneh, Naghibi MohammadB. Online Optimal Synchronization of Nonlinear Multi-agent Systems under Unknown Dynamics. JOURNAL OF CONTROL[Internet]. 2018;12(3 ):13-28. Available from: https://sid.ir/paper/120817/en

IEEE: Copy

Farzaneh Tatari, and MohammadB Naghibi, “Online Optimal Synchronization of Nonlinear Multi-agent Systems under Unknown Dynamics,” JOURNAL OF CONTROL, vol. 12, no. 3 , pp. 13–28, 2018, [Online]. Available: https://sid.ir/paper/120817/en

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