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Towards Energy-Efficiency: Integrating MATD3 Reinforcement Learning Method for Computational Offloading in RIS-Aided UAV-MEC Environments

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IEEE Internet of Things Journal 2025年

作者： Wu, Liangshun Zhang, Cong Zhang, Bin Du, Jianbo Qu, Junsuo Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai201210 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Xi'an Key Laboratory of Advanced Control and Intelligent Process School of Automation Xi'an University of Posts & Telecommunications Xi'an710061 China Xinjiang University of Political Science and Law Tumushuke832003 China School of Remote Sensing and Information Engineering Wuhan University Wuhan430079 China Department of Computer City University of Hong Kong 999077 Hong Kong School of Communications and Information Engineering Xi'an University of Posts & Telecommunications Xi'an710061 China

With the proliferation of IoT devices, there is an escalating demand for enhanced computing and communication capabilities. Mobile Edge Computing (MEC) addresses this need by relocating computing resources to the network edge, thereby delivering swifter and more efficient services. This paper introduces a computation offloading and energy consumption optimization framework that leverages Reconfigurable intelligent Surfaces (RIS), Unmanned Aerial Vehicles (UAVs), and MEC. The scheme aims to maximize energy efficiency through the optimization of task allocation, RIS phase shifts, and UAV trajectories. By employing the Multi-Agent Twin Delayed Deep Deterministic Policy Gradient (MATD3) reinforcement learning algorithm, the paper further refines UAV trajectories and RIS configurations. The simulation results indicate that the proposed method surpasses the traditional Concave-Convex Procedure (CCCP) algorithm in both UAV trajectory control and RIS configuration, demonstrating quicker convergence and enhanced stability. The method proves to be adaptable to diverse environments and tasks, showcasing notable benefits in RIS-assisted interference suppression, particularly with large RIS, thereby enhancing UAV data reception rates. Additionally, MATD3 exhibits faster and smoother convergence for extended task durations and smaller RIS scenarios. Simulation results reveal that UAVs tend to move closer to RIS, with energy efficiency falling as IoT tasks increase, affirming the proposed algorithm's high energy efficiency and effectiveness. © 2025 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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An Alternative Bearing Fault Detection Strategy for Vibrating Screen in the Case Of Random Impulsive Noise and Vibration Disturbance

SSRN

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SSRN 2022年

作者： Xu, Yuanbo Nolan, John P. Li, Yongbo Wei, Yu Qu, Junsuo School of Automation Xi’an University of Posts and Telecommunications Shaanxi Xi’an710121 China Xi’an Key Laboratory of Advanced Control and Intelligent Process Xi’an University of Posts and Telecommunications Shaanxi Xi’an710121 China Department of Mathematics and Statistics American University WashingtonDC20016 United States School of Aeronautics Northwestern Polytechnical University Shaanxi Xian710072 China

An alternative procedure for bearing fault detection from vibrating screens served in the coal industry is proposed in the work. The strategy for bearing fault signature extraction covers three main steps: (a) a new fast resampled iterative filtering (FRIF) method is utilized to remove the vibration interferences produced by the unbalanced shafts and simultaneously eliminate large amounts of background noise;(b) a signal processing method based stable distribution is designed to cancel the random impulses;(c) an improved energy operator demodulation technique is proposed to identify the bearing fault characteristics from the purified signal. © 2022, The Authors. All rights reserved.

关键词： Demodulation

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The 110kV Live-Maintaining Robot control System Design for Substation Equipment in Complex Working Conditions 42

The 110kV Live-Maintaining Robot Control System Design for S...

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42nd Chinese control Conference, CCC 2023

作者： Hu, Chenyu Chen, Xin Li, Chengyu Huang, Guangxian Zhou, Cheng Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China School of Future Technology China University of Geosciences Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Distribution Department Xianning437000 China State Grid Hubei Electric Power Co. Ltd Operations and Maintenance Department Xianning xian'An District Power Supply Company Xianning437000 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789887581543

Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Electromagnetic pulse

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Type-2 Fuzzy Adaptive control For Uncertain Robot Manipulator System With Time-Varying Output Constraints

Type-2 Fuzzy Adaptive Control For Uncertain Robot Manipulato...

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第32届中国控制与决策会议

作者： Yongqing Fan Tongtong Kang School of Automation Xi’an Key Laboratory of Advanced Control and Intelligent ProcessXi’an University of Posts and Telecommunications

A novel adaptive control design method based on type-2 fuzzy logic system is proposed in this *** controller is to solve the stability problem of n-link manipulator system with time-varying output constraints in complex *** the analysis of type-2 fuzzy logic systems,a new and original universal approximator with parameter is proposed to equalize the un-certainties in robot manipulator *** main advantages of this design method one is that the computational burden of online learning can be reduced greatly,another merit is more smaller tracking error can be ensured,and the output or position of the robot manipulator system are constrained by time-varying *** addition to these,the idea of this paper extends the semi-global stability to global stability compares to the traditional fuzzy adaptive *** effectiveness of the method is demonstrated by simulation results.

关键词： Type-2 fuzzy logic system Adaptive control Time-varying output Robot manipulator

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Robust H∞ Consensus control for a Class of Nonlinear Multi-agent Systems with Similar Structure

Robust H∞ Consensus Control for a Class of Nonlinear Multi-...

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第三十九届中国控制会议

作者： Yongqing Fan Yue An School of Automation Xi’an Key Laboratory of Advanced Control and Intelligent ProcessXi’an University of Posts and Telecommunications

A novel robust H consensus control for nonlinear multi-agent systems with similar structure is proposed in this *** structure of multi-agent systems is first introduced,the similar parameters are utilized to synthesize consensus control for a class of multi-agent systems with nonidentical *** on linear matrix inequality(LMI),sufficient conditions can be derived to ensure that all states in follower systems asymptotically converge to the states of leader with a given prescribed *** salient advantage of the designing control approach is that the consensus of different dimension in multi-agent systems with similar structure also can be ***,examples of multi-agent systems with identical and nonidentical dimensions are provided to demonstrate the validity of the proposed theoretical results.

关键词： Consensus Nonlinear Multi-agent Systems Similar Structure Robust H∞control

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Distributed Adaptive Neural Network Stabilization control for a Class of Uncertain Multi-agent Systems with Different Dimensions

Distributed Adaptive Neural Network Stabilization Control fo...

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第32届中国控制与决策会议

作者： Yongqing Fan Tiantian Xiao School of Automation Xi’an Key Laboratory of Advanced Control and Intelligent ProcessXi’an University of Posts and Telecommunications

A novel distributed feedback adaptive control firstly is developed for the stabilization tracking for a class of multi-agent robot manipulator system with unstructured *** this study,the dynamical behavior of the leader system can be tracked perfectly by the states of each multi-agent robot manipulator system with 2 or 3 degrees of freedom（DOF） through the controller with the similar characters of its own structure,the similar elements such as matrices or vectors that are used to design a distributed feedback control with coupling weights adaptive laws and neural network weights online,in which these relative similar information of the follower agents and leader system can be calculated by the proposed algorithm according to the characters of each agent robot manipulator and the reference leader *** method extends the existing works with identical multi-agent systems and leader system to nonidentical multi-agent systems with different dimensions contrast to other results in many ***,the good stabilization performances are demonstrated to multi-agent robot manipulator system.

关键词： Neural network（NN） distributed control adaptive control similar property multi-agent system robot manipulator

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Distributed Adaptive Neural Network Stabilization control for a Class of Uncertain Multi-agent Systems with Different Dimensions

Distributed Adaptive Neural Network Stabilization Control fo...

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Chinese control and Decision Conference, CCDC

作者： Yongqing Fan Tiantian Xiao School of Automation Xi'an Key Laboratory of Advanced Control and Intelligent Process Xi’an University of Posts and Telecommunications Xi’an

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

A novel distributed feedback adaptive control firstly is developed for the stabilization tracking for a class of multi-agent robot manipulator system with unstructured model. In this study, the dynamical behavior of the leader system can be tracked perfectly by the states of each multi-agent robot manipulator system with 2 or 3 degrees of freedom (DOF) through the controller with the similar characters of its own structure, the similar elements such as matrices or vectors that are used to design a distributed feedback control with coupling weights adaptive laws and neural network weights online, in which these relative similar information of the follower agents and leader system can be calculated by the proposed algorithm according to the characters of each agent robot manipulator and the reference leader system. This method extends the existing works with identical multi-agent systems and leader system to nonidentical multi-agent systems with different dimensions contrast to other results in many literatures. Finally, the good stabilization performances are demonstrated to multi-agent robot manipulator system.

关键词： Multi-agent systems Manipulator dynamics Robot kinematics Interconnected systems

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Type-2 Fuzzy Adaptive control For Uncertain Robot Manipulator System With Time-Varying Output Constraints

Type-2 Fuzzy Adaptive Control For Uncertain Robot Manipulato...

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Chinese control and Decision Conference, CCDC

作者： Yongqing Fan Tongtong Kang School of Automation Xi’an Key Laboratory of Advanced Control and Intelligent Process Xi’an University of Posts and Telecommunications Xi’an

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

A novel adaptive control design method based on type-2 fuzzy logic system is proposed in this paper. The controller is to solve the stability problem of n-link manipulator system with time-varying output constraints in complex environment. Through the analysis of type-2 fuzzy logic systems, a new and original universal approximator with parameter is proposed to equalize the un-certainties in robot manipulator system. The main advantages of this design method one is that the computational burden of online learning can be reduced greatly, another merit is more smaller tracking error can be ensured, and the output or position of the robot manipulator system are constrained by time-varying output. In addition to these, the idea of this paper extends the semi-global stability to global stability compares to the traditional fuzzy adaptive controls. The effectiveness of the method is demonstrated by simulation results.

关键词： Fuzzy logic Manipulators Time-varying systems Uncertainty Adaptive control Stability analysis

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Polyvinyl chloride microplastics and drought co-exposure alter rice growth by affecting metabolomics and proteomics

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Science of the Total Environment 2024年 955卷 177002页

作者： Khan, Kiran Yasmin Ali, Barkat Ghani, Hafiz Usman Cui, Xiaoqiang Luo, Xiaohan Ali, Zeshan Ahmed, Waqar Tan, Jinglu Lysenko, Vladimir Guo, Ya Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China Food Science Research Institute National Agricultural Research Centre Islamabad44000 Pakistan Hebei Medical University Shijiazhuang050000 China School of Environmental Science and Engineering/Tianjin Key Lab of Biomass Waste Utilization Tianjin University Tianjin300072 China Ecotoxicology Research Program Institute of Plant and Environmental Protection National Agriculture Research Center Islamabad44000 Pakistan Department of Biomedical Biological & Chemical Engineering University of Missouri ColumbiaMO65211 United States Southern Federal University Academy of Biology and Biotechnology Rostov-on-Don344041 Russia International Joint Research Center for Intelligent Optical Sensing and Applications at Jiangnan University Wuxi214122 China

Microplastics, interacting with drought stress, have become threat to crops by altering soil environment. Currently, the effect of combined microplastic and drought stress on crop growth remain poorly understood. In this work, the mechanism of multi-stress responses was investigated under the exposure of polvinylchloride microplastic (PV) and drought (D) individually and in combination (DPV) on rice varieties Hanyou73 and Q280 through proteomics and metabolomic analysis. All treatments negatively affect chlorophyll content, antioxidant enzyme activities, rice grain composition, metabolome and proteomic profiling of both rice varieties. Full rice grain yield was decreased under all treatments except PV treatment in which it was increased in both rice varieties. DPV treatment shows the lowest grain yield and more adverse effects on metabolome by affecting glycerophospholipid metabolism, tryptophan metabolism and alanine, aspartate and glutamate metabolism. Soluble sugar contents were decreased in H73 but in Q280 increased by 159 % under DPV and 123 % in PV treatment, compared to their control group. The results from metabolomics illustrate that glycerophospholipid metabolism is commonly altered in both rice types under all treatments. PV and drought alone and in combination induce extensive alterations in proteomics of rice leaves especially impacting proteins related to binding, translation and photosynthetic process. The results reveal that PV and DPV treatments highly distort the abundance of metabolites and proteins in both rice types, demonstrating that microplastic toxicity effects on rice plants become more severe when combined with drought stress. © 2024 Elsevier B.V.

关键词： Drought Metabolite Polyvinyl chloride microplastic Protein Rice

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Preface

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2023年 492卷 v-vi页

作者： Luan, Xiaoli He, Shuping Liu, Fei Key Laboratory of Advanced Process Control for Light Industry [Ministry of Education Institute of Automation Jiangnan University Jiangsu Wuxi China Key Laboratory of Intelligent Computing and Signal Processing [Ministry of Education School of Electrical Engineering and Automation Anhui University Anhui Hefei China

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