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

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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Temporal Graph Convolutional Network-Based Fault Detection Method for the Two-Wheeled Self-Balancing Robot 6

Temporal Graph Convolutional Network-Based Fault Detection M...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Hu, Yuxiang Yue, Peng Liu, Hui Kang, Jiajun Cui, Dongliang Dai, Xuewu Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Northumbria University Department of Mathematics Physics and Electrical Engineering Newcastle-upon-TyneNE1 8ST United Kingdom

ISBN: (纸本)9798350356618

The fault detection method based on graph neural networks has been widely applied. However, few of these methods consider the dynamic characteristics and prior knowledge of control systems, resulting in limited usage for fault detection in control systems. To address this, this article proposes a fault detection method based on temporal graph convolutional neural network (T-GCN) and multi-layer perceptron (MLP), which is applicable to general linear dynamic control systems. The proposed method first constructs a relational graph based on prior knowledge of the control system and utilizes T-GCN to extract spatio-temporal relationships between various state variables and control input signals within the system. Then, a MLP integrates the extracted information to detect whether the control system has experienced faults. Finally, a two-wheeled self-balancing vehicle is utilized to test the effectiveness of the proposed method. The results demonstrate that the proposed approach could achieve high-precision detection of sensor faults within the system. © 2024 IEEE.

关键词： Graph neural networks

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Proposal of Serious Games for a Socially Assistive Robot Based on Eye Contact and Visual Attention of Children with Autism Spectrum Disorder 9th

Proposal of Serious Games for a Socially Assistive Robot ...

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9th Latin American Congress on Biomedical engineering, CLAIB 2022 and 28th Brazilian Congress on Biomedical engineering, CBEB 2022

作者： Negri, Yuri Panceri, João Freitas, Éberte Schreider, Sheila Caldeira, Eliete Bastos-Filho, Teodiano Electrical Engineering Department Federal University of Espirito Santo Av. Fernando Ferrari 514—Goiabeiras ES Vitória29075-910 Brazil Postgraduate Program in Electrical Engineering Federal University of Espirito Santo Vitoria Brazil Automation and Control Engineering Department Federal Institute of Espirito Santo Linhares Brazil Postgraduate Program in Biotechnology Federal University of Espirito Santo Vitoria Brazil

ISBN: (纸本)9783031494062

Eye contact is one of the main human skills, and a prerequisite of verbal language. However, children with Autism Spectrum Disorder (ASD) often have an important deficit in this skill, compromising their entire cognitive and social development. This work shows the development of two Serious Games (SGs), based on the concept of Child-Robot Interaction (CRI), for the exercise and improvement of eye contact and visual attention, as well as concepts such as imitation and emotion recognition. For face detection and eye movement monitoring, an open source development framework of machine learning named MediaPipe was used. Tests with children with ASD will be conducted, and it is expected these SGs have a positive impact regarding the improvement of both eye contact and visual attention for these children. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Serious games

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Multi-Objective Optimal control of Wastewater Treatment processes Constrainted by Energy-Saving and Effluent Qualities 6

Multi-Objective Optimal Control of Wastewater Treatment Proc...

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6th International Conference on Robotics, control and automation engineering, RCAE 2023

作者： Zhang, Jing Yan, Haoming Chen, Hongtian Xu, Shuiqing Liu, Yiqi School of Automation Science & Engineering South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou510640 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China College of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9798350315301

Considering the high energy consumption problem in the wastewater treatment process, this paper proposes a multi-objective optimization control scheme based on NSGA-II algorithm. The proposed scheme can not only ensures meet effluent quality requirements but also can achieves energy cost savings. This method takes the aeration energy consumption and pumping energy consumption of the system as the optimization goal with the effluent water quality being the constraint condition. At the same time, the adaptive fuzzy PID controller is designed to ensure the control accuracy and stability of the controlled system. The results of simulation experiments validated in benchmark simulation platform, BSM1, show that, compared with PI control and single-objective optimization control, the proposed optimization scheme in this paper can achieve the desired quality of the effluent water withmore energy-saving. © 2023 IEEE.

关键词： Energy utilization

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Secure Implementation of Distributed control for Multiple Spacecraft Against Malicious Eavesdropping Attacks 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Shi, Yongxia Hu, Qinglei Zhao, Dong Lv, Maolong Shao, Xiaodong Department of Electrical Engineering City University of Hong Kong Hong Kong School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Tianmushan Laboratory Hangzhou310023 China School of Cyber Science and Technology Beihang University Beijing100191 China College of Aeronautics Engineering Air Force Engineering University Xi’an710038 China Air Traffic Control and Navigation College Air Force Engineering University Xi’an710051 China

ISBN: (数字)9789819733408

ISBN: (纸本)9789819733392

This paper addresses the secure distributed control problem of spacecraft formation flying systems, which are susceptible to malicious eavesdropping attacks from hostile adversaries. A novel secure implementation framework of distributed control is proposed. Firstly, the uniform quantizer is decomposed, and an encoder is developed to convert system states and intermediate control parameters into integers. Then, the sensitive system states are pre-encrypted using the Paillier cryptosystem. Subsequently, an encrypted distributed control scheme is presented, incorporating the encoded and encrypted data. Notably, all data transmitted via the communication network are encrypted. Moreover, the encrypted distributed control law is directly evaluated using the received information from neighboring spacecraft, which maintains data security even when the controller devices are wiretapped. Following this secure implementation framework, the proposed encrypted distributed control law protects the data security of each spacecraft, while enabling effective control coordination. Simulation results verify the effectiveness of the proposed secure implementation framework. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Spacecraft

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Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games

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Autonomous Intelligent Systems 2022年第1期2卷 71-78页

作者： Shu Liang Peng Yi Yiguang Hong Kaixiang Peng Department of Control Science&Engineering Tongji UniversityShanghai200092China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China

Distributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is *** algorithm is designed by virtue of projected gradient play dynamics and aggregation tracking dynamics,and is applicable to games with constrained strategy sets and weight-balanced communication *** key feature of our method is that the proposed projected dynamics achieves exponential convergence,whereas such convergence results are only obtained for non-projected dynamics in existing works on distributed optimization and equilibrium *** examples illustrate the effectiveness of our methods.

关键词： Distributed algorithms Aggregative games Projected gradient play Weight-balanced graph Exponential convergence

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Short-term load forecasting for buildings based on dynamic weighted edRVFL model

Short-term load forecasting for buildings based on dynamic w...

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2024 China automation Congress, CAC 2024

作者： Xie, Junwei Yuan, Meng Xu, Zhezhuang Liu, Chi Xia, Yuxiong College of Electrical Engineering and Automation Fuzhou University Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian Province Fuzhou350000 China Fujian Huading Intelligent Manufacturing Technology Co. Ltd. Fuzhou350000 China

ISBN: (纸本)9798350368604

Short-term load forecasting of buildings plays a key role in demand management, however, when dealing with massive data, the prevalent practice of training and testing the system as a whole overlooks pattern variations inside data and potentially limits predictive performance. To address this issue, this paper proposes an ensemble deep random vector functional link (edRVFL) model that combines adaptive ensemble clustering and dynamic weighting strategy for load forecasting of an industrial building. Firstly, the adaptive ensemble clustering that combines ordering points to identify the clustering structure and K nearest neighbor is employed to determine the electricity load usage patterns. Subsequently, the improved particle swarm optimization algorithm is applied to adjust the weights of load curves in different typical day scenarios. Finally, a dynamic weighting strategy is designed to dynamically assign model weights to two clusters, where one matches the type of predicted load pattern for the day being forecasted and another for the cluster of the previous day. The experiment in a real building verifies the effectiveness of the proposed algorithm, which has higher prediction accuracy than other comparison algorithms including one-week interval and different ensemble clustering. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Online Optimization in Power Systems With High Penetration of Renewable Generation:Advances and Prospects

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 839-858页

作者： Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Power System and the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Institute of High Performance Computing(IHPC) Agency for Science Technology and Research(A*STAR)Singapore 138632Singapore

Traditionally,offline optimization of power systems is acceptable due to the largely predictable loads and reliable *** increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain,and have redirected attention to online optimization ***,online optimization is a broad topic that can be applied in and motivated by different settings,operated on different time scales,and built on different theoretical *** paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques *** particular,we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain,i.e.,optimization-guided dynamic control,feedback optimization for single-period problems,Lyapunov-based optimization,and online convex optimization techniques for multi-period ***,we recommend some potential future directions for online optimization in the power systems domain.

关键词： optimization Lyapunov optimization online convex optimization online optimization optimization-guided control

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A Data-Driven Passive Islanding Detection Scheme

A Data-Driven Passive Islanding Detection Scheme

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作者： De, Sourav Reddy, Motakatla Venkateswara Sodhi, Ranjana Department of Electrical Engineering Indian Institute of Technology Ropar Rupnagar140001 India Grid Automation and Control National Renewable Energy Laboratory GoldenCO80401 United States

This paper proposes a simple yet effective statistical parameters based passive islanding scheme. The proposed scheme relies only the voltage data, measured at the point of common coupling (PCC), and is comprised of three stages. The Stage-1 quickly computes what is termed as mean based coarse islanding detection (MID), Stage-2 computes the decaying DC detector (DDCD), and 3) finally, MID is used in conjunction with DDCD as per the statistical digital relay logic (SRDL) is devised in Stage-3 to distinguish between islanding events from non islanding events. Various tests are investigated on the Banshee’s industrial Microgrid (MG), modelled in the Real Time Digital Simulator (RTDS), on the basis of the IEEE-1547, UL 1741 standards. The validation of the proposed islanding detection methodology (PIDM) in RTDS platform ensures the viability of the proposed scheme in practical systems. The test results reveal that the PIDM can detect islanding within 2 cycles, and results in a very small non detection zone (NDZ). Moreover, the scheme can very well be used for single-phase MG too as it relies only on the single phase voltage information. © 2023 IEEE.

关键词： Electric circuit breakers

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Unmanned Air-Ground Vehicles Path Planning Using Model Predictive control

Unmanned Air-Ground Vehicles Path Planning Using Model Predi...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Gu, Yuanwen Wang, Mi Wu, Huaining Li, Chenlong Li, Gang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Hangzhou International Innovation Institute Beihang University Hangzhou311115 China Hangzhou Innovation Institute Beihang University Hangzhou310051 China Department of Control Science and Engineering Tongji University Shanghai201800 China

ISBN: (纸本)9789819639649

In this article, the problem of air-ground vehicles path planning is investigated. The objective is to navigate each vehicle from its starting position to the intended destination, while avoiding collisions with obstacles and other vehicles. First, by combining the objective functions of unmanned ground vehicle (UGV) and unmanned aerial vehicles (UAVs) with the constraints of system equations, control constraints and obstacle avoidance constraints, the vehicles’ path planning is formulated as multiple model predictive control (MPC) problems. Second, considering the interdependencies inherent in these optimization problems, we employ an assumed state method to decouple them effectively. Third, the control inputs of the UGV and UAVs are obtained by solving quadratic programming problems and thus the vehicles’ path can be obtained. Finally, a simulation example is shown to illustrate the effectiveness of the proposed path planning method. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Predictive control systems

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