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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhang, Renyongkang Guo, Ge Gao, Zhenyu Yu, Miao Zhang, Lu Wang, Zhengsong Han, Meng Yin, Yanyan Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northeastern University at Qinhuangdao School of Control Engineering Qinhuangdao066004 China Curtin University School of Electrical Engineering Computing and Mathematical Sciences PerthWA6102 Australia

ISBN: (纸本)9798350316339

This paper investigates the continuous-time unconstrained optimization via dynamical gradient flow systems. For strongly convex objective functions, a gradient flow with predefined time convergence is proposed, which is suitable for relaxing the objective function to only satisfy the PolyakLojasiewicz (P-L) condition. A predefined-time convergent Newton's flow is designed for the minimization of strictly convex functions. The proposed result is extended for strongly convex objective functions with time-varying parameters. In our schemes, the upper bound of convergence time can be used as a prior choice without involving system initialization and complex parameter calculations. The convergence of algorithms is rigorously proved by using the Lyapunov method. Numerical simulation illustrates the effectiveness of the proposed methods. © 2024 IEEE.

关键词： Lyapunov methods

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Adaptive Prescribed Finite-Time Bipartite Consensus control for Nonaffine Nonlinear MASs Under Structurally Unbalanced Topology

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3532-3541页

作者： Wang, Xiaomei Song, Yongduan Zhao, Xudong Wang, Huanqing Wang, Ding Niu, Ben Chongqing University School of Automation Chongqing400044 China Shandong Normal University School of Information Science and Engineering Shandong Jinan250014 China Dalian University of Technology School of Control Science and Engineering Liaoning Dalian116023 China Bohai University College of Mathematical Sciences Liaoning Jinzhou121013 China Beijing University of Technology Faculty of Information Technology Beijing100124 China Sichuan University School of Electrical Engineering Chengdu610065 China

This article investigates an adaptive bipartite consensus tracking control algorithm for a class of heterogeneous nonaffine nonlinear multiagent systems (MASs) with prescribed finite-time tracking performance under an unbalanced communication topology. In the case of an unbalanced digraph, a novel locally optimal bipartition strategy is proposed to transform the unbalanced communication topology into a structurally balanced one, thereby enabling the implementation of bipartite consensus tracking control. To achieve the expected tracking performance, the design philosophy focuses on developing a prescribed finite-time performance function (PFTPF), capable of preassigning the convergence time and accuracy precisely beforehand. The explored adaptive control algorithm can ensure that the whole signals concerning the closed-loop MASs remain bounded while the bipartite consensus errors converge to a predetermined range around zero within the prescribed finite time. Ultimately, the simulation results on robotic systems prove the availability of the developed design solution. © 2013 IEEE.

关键词： Topology

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An Alternative Approach to Reduce Switching Frequency on Semiconductor Switches in Power Electronic Converters 12

An Alternative Approach to Reduce Switching Frequency on Sem...

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12th IEEE International Conference on control, automation and Information Sciences, ICCAIS 2023

作者： Bui, Trung Tuyen Tran, Duy Trinh Vo, Tien Dung Nguyen, Khac Tuan Giap, Van Nam Nguyen, Quang Dich Hanoi University of Science and Technology Institute for Control Engineering and Automation-ICEA Ha Noi Viet Nam Vinh University of Technology Education Faculty of Electrical Engineering Vinh Viet Nam Hanoi University of Science and Technology School of Electrical and Electronic Engineering Ha Noi Viet Nam

ISBN: (纸本)9798350328783

This article presents an alternative approach to reduce the switching frequency in switching elements within power electronic converters. The aim is to address the challenges of conventional semiconductor devices in high-frequency switching, such as switch transition times and high-frequency pulse generation. With the proposed configuration, the semiconductor switch components and pulse generator operate at a lower frequency than the output frequency of the converter. Simulations to verify the approach will be conducted using PLECS software. © 2023 IEEE.

关键词： Power converters

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Model-Free Adaptive control of MIMO Nonlinear Systems With Prescribed Tracking Performance

Model-Free Adaptive Control of MIMO Nonlinear Systems With P...

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Asian control Conference

作者： Wei Ding Jin–Xi Zhang Faculty of Electrical Engineering and Automation Changshu Institute of Technology Changshu China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

This paper investigates the problem of model-free tracking control of a class of multi-input multi-output nonlinear systems with inputs coupling and external disturbances. A novel directly adaptive prescribed performance controller with the constraint transformation and the Nussbaum gain technique is developed. It guarantees that the system outputs track the reference signals with the prescribed rate, overshoot and accuracy. The controller depends on information of neither the multiplicative and additive system nonlinearities nor the external disturbances. Even so, no neural networks, fuzzy logic systems or disturbance observers are employed, yielding a simple control algorithm. The simulation results verify the effectiveness of the proposed control scheme.

关键词： Fuzzy logic Couplings Adaptation models Additives Accuracy Simulation Neural networks

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Robust Fault-Tolerant Funnel control of Unknown MIMO Nonlinear Systems With Actuator and Sensor Faults

Robust Fault-Tolerant Funnel Control of Unknown MIMO Nonline...

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Chinese control and Decision Conference, CCDC

作者： Wei Ding Jin-Xi Zhang Faculty of Electrical Engineering and Automation Changshu Institute of Technology Changshu China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

This paper investigates the tracking control problem for the multi-input multi-output nonlinear systems with sensor faults, actuator faults and external disturbances. A fault-tolerant decoupling funnel control scheme is designed. The controller is composed of a group of barrier functions, without knowledge of the system nonlinearities, faults or disturbances, except for the know control direction. It is robust and passive in the sense that no function approximation, disturbance estimation, fault diagnosis or control reconfiguration is deployed. It guarantees that the system outputs track the reference signals with the pre-specified transient and steady-state performance, even the actuator faults and sensor faults happen simultaneously. Finally, the simulation results on a two-link robotic manipulator illustrate the effectiveness of the proposed approach.

关键词： Actuators Fault tolerance Simulation Fault tolerant systems Robot sensing systems Manipulators Steady-state

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Robust Consensus Tracking control of Uncertain Multi-Agent Systems With Local Disturbance Rejection

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 427-438页

作者： Pan Yu Kang-Zhi Liu Xudong Liu Xiaoli Li Min Wu Jinhua She the Faculty of Information Technology and the Beijing Institute of Artificial Intelligence Beijing University of TechnologyBeijing 100124China IEEE the Department of Electrical and Electronic Engineering Chiba UniversityChiba 263-8522Japan the Beijing Aerospace Automatic Control Institute Beijing 100854China the School of Automation China University of GeosciencesWuhan 430074China the School of Engineering Tokyo University of TechnologyHachiojiTokyo 192-0982Japan

In this paper,a new distributed consensus tracking protocol incorporating local disturbance rejection is devised for a multi-agent system with heterogeneous dynamic uncertainties and disturbances over a directed *** is of two-degree-of-freedom ***,a robust distributed controller is designed for consensus tracking,while a local disturbance estimator is designed for each agent without requiring the input channel information of *** condition for asymptotic disturbance rejection is ***,even when the disturbance model is not exactly known,the developed method also provides good disturbance-rejection ***,a robust stabilization condition with less conservativeness is derived for the whole multi-agent ***,a design algorithm is ***,comparisons with the conventional one-degree-of-freedombased distributed disturbance-rejection method for mismatched disturbances and the distributed extended-state observer for matched disturbances validate the developed method.

关键词： Directed graph distributed control disturbance rejection dynamic uncertainties multi-agent systems robust control

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Identification of Abnormal Operating Conditions in Fused Magnesium Furnaces Using a Deep Multiview TSK Fuzzy System

Identification of Abnormal Operating Conditions in Fused Mag...

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2024 China automation Congress, CAC 2024

作者： Xi, Chao Wu, Gaochang Fan, Zizhu Xu, Feng Wang, Hui Tang, Xiaokun School of Electrical and Automation Engineering East China Jiaotong University Nanchang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China College of Computer Science and Technology Shanghai University of Electric Power Shanghai China Key Laboratory of Advanced Control and Optimization of Jiangxi Province East China Jiaotong University Nanchang China

ISBN: (纸本)9798350368604

The smelting process of the fused magnesium furnace(FMF) is prone to semi-molten abnormal conditions, which may lead to low product quality and production efficiency, and is also prone to safety accidents. At present, the operating conditions of FMF mainly rely on manual observation of the furnace shell features for diagnosis, and it is hard to timely and effectively identify abnormalities in the smelting process. Given the difficulty in identifying abnormal operating conditions of FMF, this paper proposes a deep multiview fuzzy classification method(DMFC) that can automatically identify abnormal operating conditions. First, based on the three-phase current data, CNN and Transformer are used to extract features as multiple views. Secondly, the Takagi-Sugeno-Kang(TSK) fuzzy model is used as a single-view model, and the evidence theory is used for dynamic fusion of multiple views. This method can effectively fuse multiple deep features, and has strong scalability and a certain degree of interpretability. Through verification of the real historical data of multiple FMFs, our model has relatively high accuracy, false detection rate(FDR), and missed detection rate(MDR). © 2024 IEEE.

关键词： Smelting

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EOG acquisition system based on ATmega AVR microcontroller

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 16589-16605页

作者： Abdel-Samei, Abdel-Gawad A. Shaaban, Abdel-Salam Brisha, Ayman M. El-Samie, Fathi E. Abd Ali, Ahmed S. Department of Electronics Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Department of Process of Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Department of Mechanical Engineering Mechatronics Division Faculty of Engineering Assiut University Assiut Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia

This paper presents a hardware and software of an electrooculogram (EOG) acquisition system based on ATmega AVR microcontroller for the acquisition of vertical and horizontal eye movements. The presented system is used to acquire a dataset of eye movements for volunteers. This system gives two channels representing vertical and horizontal EOG signals. The frequency range of the EOG signal is known to be 0.1 to 10 Hz, and hence this frequency range is isolated with a High-Pass Filter (HPF) with a cutoff frequency of 0.1 Hz followed by a Low-Pass Filter (LPF) with a cutoff frequency of 10 Hz. The EOG acquisition system is interfaced with an ATmega AVR microcontroller to acquire a dataset that can be used for controlling hardware such as Light Emitting Diodes (LEDs), wheelchair, and robot arm. The presented system is composed of EOG signal acquisition, Ag/AgCl electrodes, analog-to-digital converter through Arduino Mega 2560 board microcontroller unit, trainer board, laptop, keypad, and Liquid Crystal Display (LCD). The eye movement is detected by measuring the potential difference between cornea and retina using five Ag–Agcl disposable electrodes. Different volunteers of different ages at different times have been treated with the presented system to obtain data. Classified vertical and horizontal EOG signals and the basic eye movements e.g., open eye, left, right, up, and down can be used to control robots and wheelchairs for rehabilitation purposes. © 2023, The Author(s).

关键词： Electrodes

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Optimizing Indoor Vertical Farming with DDPG Reinforcement Learning: Enhancing control of Nutrient Levels, Climate Conditions, and Plant Health 5

Optimizing Indoor Vertical Farming with DDPG Reinforcement L...

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5th IEEE International Conference on Technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Albert Panggabean, Good Fried Romadhon, Rahmat Lubis, Ramot Joelianto, Endra Institut Teknologi Bandung Doctoral Program in Engineering Physics Bandung Indonesia Institut Teknologi Del Faculty of Informatics and Electrical Engineering Toba Indonesia Institut Teknologi Bandung Engineering Physics Study Program Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Bandung Indonesia

ISBN: (纸本)9798350364743

In indoor vertical farming systems, managing dynamic and complex environments poses significant challenges. Traditional control strategies often fall short in adapting to rapid changes in critical parameters such as nutrient levels, climate conditions, and plant health indicators. To address these challenges, this paper presents a novel approach for optimizing indoor vertical farming using Deep Deterministic Policy Gradient (DDPG), a reinforcement learning algorithm well-suited for environments with continuous action spaces. Our study focused on the control and monitoring of key parameters, including nutrient levels (pH and EC), climate conditions (temperature, humidity, light, and CO2 levels), and plant health indicators (biomass accumulation and leaf size structure). By defining a comprehensive state and action space, we simulated an indoor farming environment and trained the DDPG model to maximize crop yield and health. © 2024 IEEE.

关键词： DDPG indoor vertical farming precision agriculture reinforcement learning smart farming

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Event-Triggered Moving Block Train Platooning Scheme Under Communication Loss Constraint

Event-Triggered Moving Block Train Platooning Scheme Under C...

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Robotics, automation and Artificial Intelligence (RAAI), IEEE International Conference on

作者： Jonathan Chandra Tua A. Tamba Raymond Christian Dept. of Electrical Engineering Center for Control Automation and Systems Engineering Faculty of Engineering Technology Parahyangan Catholic University Bandung Indonesia

ISBN: (数字)9798331520038

ISBN: (纸本)9798331520045

This paper addresses the challenges of efficient coordination and safety assurance of moving block train platooning system. Conventional railway signaling method which relies on static block systems often fail to adapt to high frequency scenarios and thereby limiting the railway system's operational flexibility and scalability. The moving block signaling approach through communication-based train control (CBTC) technology has recently been proposed and viewed as a potential solution alternative to address such limitations. To enhance railway system opearational performance and safety, this paper proposes a control strategy combining sliding mode control (SMC) and event-triggered control (ETC) for a multi-agent system representation of train convoy operating under moving block signaling scheme. The proposed SMC is used to ensure robust tracking and coordination of the train convoy in the presence of inter-train communication loss, while ETC scheme is used to minimize communication and computation overhead in each train by updating the individual train's control actions only when deemed necessary. The proposed approach improves coordination, safety, and resource efficiency within complex, multi-agent train systems. Simulation results demonstrate the effectiveness of the combined control strategy in maintaining inter-train spacing even when data transmission loss/drop occur on several time instances.

关键词： Event detection Simulation Scalability Robot kinematics Block signalling Propagation losses Rail transportation Safety Sliding mode control Multi-agent systems

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