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Huaguang Zhang

Researcher at Northeastern University (China)

Publications -  626
Citations -  17574

Huaguang Zhang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Nonlinear system & Artificial neural network. The author has an hindex of 56, co-authored 525 publications receiving 11604 citations. Previous affiliations of Huaguang Zhang include University of National Education.

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Neural-Network-Based Event-Triggered Adaptive Control of Nonaffine Nonlinear Multiagent Systems With Dynamic Uncertainties

TL;DR: A novel event-triggered control protocol is constructed, which realizes that the outputs of all followers converge to a neighborhood of the leader’s output and ensures that all signals are bounded in the closed-loop system.
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Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method

TL;DR: A data-based adaptive dynamic programming method is presented using the current and past system data rather than the accurate system models also instead of the traditional identification scheme which would cause the approximation residual errors.
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Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model

TL;DR: In this article, a method to control chaotic behavior of a typical Smart Grid based on generalized fuzzy hyperbolic model (GFHM) is presented, which is designed by solving a linear matrix inequality (LMI).
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Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach

TL;DR: The inverse optimal approach is employed to design distributed consensus protocols that guarantee consensus and global optimality with respect to some quadratic performance indexes for identical linear systems on a directed graph.
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Distributed Adaptive Virtual Impedance Control for Accurate Reactive Power Sharing Based on Consensus Control in Microgrids

TL;DR: A reactive power sharing method that employs both consensus control and adaptive virtual impedance control for islanded microgrids and results show the effectiveness of the proposed method in achieving load reactive powersharing and the voltage restoration.