Search Results - "Chaoxu Mu"

Air-Breathing Hypersonic Vehicle Tracking Control Based on Adaptive Dynamic Programming by Mu, Chaoxu, Ni, Zhen, Sun, Changyin, He, Haibo

“…In this paper, we propose a data-driven supplementary control approach with adaptive learning capability for air-breathing hypersonic vehicle tracking control…”
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Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy by Mu, Chaoxu, Tang, Yufei, He, Haibo

“…Randomness from the power load demand and renewable generations causes frequency oscillations among interconnected power systems. Due to the requirement of…”
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EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation by Gao, Zhongke, Wang, Xinmin, Yang, Yuxuan, Mu, Chaoxu, Cai, Qing, Dang, Weidong, Zuo, Siyang

“…Driver fatigue evaluation is of great importance for traffic safety and many intricate factors would exacerbate the difficulty. In this paper, based on the…”
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Data-Driven Tracking Control With Adaptive Dynamic Programming for a Class of Continuous-Time Nonlinear Systems by Mu, Chaoxu, Ni, Zhen, Sun, Changyin, He, Haibo

“…A data-driven adaptive tracking control approach is proposed for a class of continuous-time nonlinear systems using a recent developed goal representation…”
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Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System by Wang, Ding, He, Haibo, Mu, Chaoxu, Liu, Derong

“…In this paper, a computationally efficient framework for intelligent critic control design and application of continuous-time input-affine systems is…”
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Event-triggered design for discrete-time nonlinear systems with control constraints by Mu, Chaoxu, Liao, Kaiju, Wang, Ke

“…In order to solve the constrained-input problem and reduce the computing resources, a novel event-triggered optimal control method is proposed for a class of…”
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Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach by Mu, Chaoxu, Wang, Ding, He, Haibo

“…This paper presents a data-based finite-horizon optimal control approach for discrete-time nonlinear affine systems. The iterative adaptive dynamic programming…”
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Design of linear parameter‐varying controller for morphing aircraft using inexact scheduling parameters by Cai, Guangbin, Yang, Qian, Mu, Chaoxu, Li, Xin

“…In this paper, the design problem of Gain‐Scheduled Output‐Feedback (GSOF) controllers using inexact scheduling parameters for morphing aircraft during the…”
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Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy by Wang, Ding, Mu, Chaoxu, He, Haibo, Liu, Derong

“…In this paper, we construct an event-driven adaptive robust control approach for continuous-time uncertain nonlinear systems through a neural dynamic…”
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Developing nonlinear adaptive optimal regulators through an improved neural learning mechanism by Wang, Ding, Mu, Chaoxu

“…Optimal feedback design of dynamical systems is a significant topic in automatic control community and information science.As for nonlinear systems,optimal…”
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SMES-Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission Delay by Tang, Yufei, Mu, Chaoxu, He, Haibo

“…In this paper, a novel active power oscillation damping controller for superconducting magnetic energy storage (SMES) is developed to increase the power system…”
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A Multi-Agent Reinforcement Learning Method for Cooperative Secondary Voltage Control of Microgrids by Wang, Tianhao, Ma, Shiqian, Tang, Zhuo, Xiang, Tianchun, Mu, Chaoxu, Jin, Yao

“…This paper proposes a novel cooperative voltage control strategy for an isolated microgrid based on the multi-agent advantage actor-critic (MA2C) algorithm…”
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An Enhanced Distributed Voltage Regulation Scheme for Radial Feeder in Islanded Microgrid by Khan, Muhammad Zahid, Mu, Chaoxu, Habib, Salman, Alhosaini, Waleed, Ahmed, Emad M.

“…Even the simplest version of the distribution networks face challenges such as maintaining load voltage and system frequency stability and at the same time…”
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Heuristic dynamic programming-based learning control for discrete-time disturbed multi-agent systems by Zhang, Yao, Mu, Chaoxu, Zhang, Yong, Feng, Yanghe

“…Owing to extensive applications in many fields, the synchronization problem has been widely investigated in multi-agent systems. The synchronization for…”
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Adaptive composite frequency control of power systems using reinforcement learning by Mu, Chaoxu, Wang, Ke, Ma, Shiqian, Chong, Zhiqiang, Ni, Zhen

“…With the incorporation of renewable energy, load frequency control (LFC) becomes more challenging due to uncertain power generation and changeable load…”
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Improved Negative Sequence Current Detection and Control Strategy for H-Bridge Three-Level Active Power Filter by Dian, Renjun, Xu, Wei, Mu, Chaoxu

“…A three-phase three-wire shunt active power filter based on a H-bridge three-level converter as its main circuit is presented. The dc-link voltage stable…”
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Day‐ahead optimal dispatching of hybrid power system based on deep reinforcement learning by Shi, Yakun, Mu, Chaoxu, Hao, Yi, Ma, Shiqian, Xu, Na, Chong, Zhiqiang

“…The problem of optimal dispatching of a power system containing a high proportion of renewable energy is of great significance for the realisation of new…”
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Improved Model Predictive Current Control Strategy-Based Rotor Flux for Linear Induction Machines by Xu, Wei, Zou, Jianqiao, Mu, Chaoxu

“…The model predictive current control strategy considers all participating voltage vectors to select the optimal voltage vector, which needs comparatively…”
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A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems by Mu, Chaoxu, Zhang, Yong, Cai, Guangbin, Liu, Ruijun, Sun, Changyin

“…In this paper, a data-based feedback relearning algorithm is proposed for the robust control problem of uncertain nonlinear systems. Motivated by the classical…”
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Learning‐based control for discrete‐time constrained nonzero‐sum games by Mu, Chaoxu, Peng, Jiangwen, Tang, Yufei

“…A generalized policy‐iteration‐based solution to a class of discrete‐time multi‐player non‐zero‐sum games concerning the control constraints was proposed…”
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