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A Fully Distributed Hybrid control Framework For Non-Differentiable Multi-Agent Optimization

IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1792-1800页

作者： Xia Jiang Xianlin Zeng Jian Sun Jie Chen Yue Wei the Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081 the Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China IEEE the School of Electronic and Information Engineering Tongji UniversityShanghai 200082 the Peng Cheng Laboratory Shenzhen 518055China

This paper develops a fully distributed hybrid control framework for distributed constrained optimization *** individual cost functions are non-differentiable and *** on hybrid dynamical systems,we present a distributed state-dependent hybrid design to improve the transient performance of distributed primal-dual first-order optimization *** proposed framework consists of a distributed constrained continuous-time mapping in the form of a differential inclusion and a distributed discrete-time mapping triggered by the satisfaction of local jump *** the semistability theory of hybrid dynamical systems,the paper proves that the hybrid control algorithm converges to one optimal solution instead of oscillating among different *** simulations illustrate better transient performance of the proposed hybrid algorithm compared with the results of the existing continuous-time algorithms.

关键词： Distributed algorithm hybrid framework multiagent network non-differentiable optimization

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Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit

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IEEE Transactions on Intelligent Transportation systems 2024年第1期25卷 920-928页

作者： Zhu, Guangyu Ding, Jiacun Wei, Yun Yi, Yang Xu, Sendren Sheng-Dong Wu, Edmond Q. Beijing Jiaotong University Key Lab. of Transport Industry of Big Data Application Technologies for Comprehensive Transport The Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing100044 China Beijing Mass Transit Railway Operation Corporation Ltd. Beijing100014 China Yangzhou University College of Information Engineering Yangzhou225127 China National Taiwan University of Science and Technology Automation and Control Center The Graduate Institute of Automation and Control Taipei106335 Taiwan Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China The Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai200240 China

Urban rail transit (URT) is vulnerable to natural disasters and social emergencies including fire, storm and epidemic (such as COVID-19), and real-time origin-destination (OD) flow prediction provides URT operators with important information to ensure the safety of URT system. However, hindered by the high dimensionality of OD flow and the lack of supportive information reflecting the real-time passenger flow changes, study in this area is at the beginning stage. A novel model consisting of two stages is proposed for OD flow prediction. The first stage predicts the inflows of all stations by Long Short-Term Memory (LSTM) in real time, where the dimension is reduced compared with predicting OD flows directly. In the second stage, the notion of separation rate, namely, the proportion of inbound passengers bounding for another station, is estimated. Finally, The OD flow is predicted by multiplying the inflow and separation rate. Experiments based on Hangzhou Metro dataset show the proposed model outperforms the contrast model in weighted mean average error (WMAE) and weighted mean square error (WMSE). Results also suggest that the proposed prediction model performs better on weekdays than on weekends, and with greater accuracy on larger OD flows. © 2000-2011 IEEE.

关键词： Forecasting

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Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles

Energy-Efficient Hybrid Model Predictive Trajectory Planning...

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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Ding, Fan Luo, Xuewen Li, Gaoxuan Tew, Hwa Hui Loo, Junn Yong Tong, Chor Wai Bakibillah, A.S.M. Zhao, Ziyuan Tao, Zhiyu School of Information Technology Monash University Malaysia Malaysia School of Engineering Monash University Malaysia Malaysia Tokyo Institute of Technology. Department of Systems and Control Engineering Japan Institute for Infocomm Research A*STAR Singapore Chinese Academy of Sciences National Science Library China

ISBN: (纸本)9781665410205

To tackle the twin challenges of limited battery life and lengthy charging durations in electric vehicles (EV s), this paper introduces an Energy-efficient Hybrid Model Predictive Planner (EHMPP), which employs an energy-saving optimization strategy. EHMPP focuses on refining the design of the motion planner to be seamlessly integrated with the existing automatic driving algorithms, without additional hardware. It has been validated through simulation experiments on the Prescan, CarSim, and Matlab platforms, demonstrating that it can increase passive recovery energy by 11.74% and effectively track motor speed and acceleration at optimal power. To sum up, EHMPP not only aids in trajectory planning but also significantly boosts energy efficiency in autonomous EVs. © 2024 IEEE.

关键词： Hybrid power

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Flatness-Based control in Successive Loops for Unmanned Aerial Vehicles and Micro-Satellites

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Guidance, Navigation and control 2023年第4期3卷 26-57页

作者： Gerasimos Rigatos Masoud Abbaszadeh Krishna Busawon Laurent Dala Unit of Industrial Automation Industrial Systems Institute 26504 Rion Patras Greece Department of ECSE Rensselaer Polytechnic Institute 12065New YorkUSA Nonlinear Control Group University of Northumbria Newcastle NE18STUK Department of Mechanical Engineering University of Northumbria Newcastle NE18ST UK

The control problem for the multivariable and nonlinear dynamics of unmanned aerial vehicles and micro-satellites is solved with the use of a flatness-based control approach which is implemented in successive *** state-space model of(i)unmanned aerial vehicles and(ii)micro-satellites is separated into two subsystems,which are connected between them in cascading *** one of these subsystems can be viewed independently as a differentially flat system and control about it can be performed with inversion of its dynamics as in the case of input–output linearized flat *** state variables of the second subsystem become virtual control inputs for the first *** turn,exogenous control inputs are applied to the first *** whole control method is implemented in two successive loops and its global stability properties are also proven through Lyapunov stability *** validity of the control method is confirmed in two case studies:(a)control and trajectories tracking for the autonomous octocopter,(ii)control of the attitude dynamics of micro-satellites.

关键词： Autonomous octocopter attitude dynamics of micro-satellites multivariable control differential flatness properties flatness-based control in successive loops global stability Lyapunov analysis

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From DAO to TAO: Finding the Essence of Decentralization

From DAO to TAO: Finding the Essence of Decentralization

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Li, Juanjuan Liang, Xiaolong Qin, Rui Wang, Fei-Yue Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China Macau University of Science and Technology Faculty of Innovation Engineering Macau999078 China Institute of Automation State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9798350337020

Decentralized Autonomous Organizations (DAOs) have been gaining popularity in recent years due to their promise of realizing the decentralized Web 3.0. However, most DAOs rely heavily on token-centric value systems as well as allocate decision-making authority and yield-sharing rights according to the held tokens, which often lead to monopolization of power and rights. To address this issue, this paper contributes to propose a truly democratic organization model, named True Autonomous Organizations and Operations (TAOs), that does not count upon tokens and is guided by principles of contribution-based and on-demand allocation. We first discuss the design of TAOs, including their infrastructures, power structures, and value systems, and then provide a technical roadmap for implementing TAOs in the DeSci context. This research can provide a valuable guidance for the construction and application of TAOs. © 2023 IEEE.

关键词： Decentralized Autonomous Organizations and Operations (DAOs) governance systems open consortium blockchain True Autonomous Organizations and Operations (TAOs) value systems

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Heating Station Automated control System Based on a Small-Scale Model of a Laboratory Stand 5

Heating Station Automated Control System Based on a Small-Sc...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Kovalchuk, Viktoriya Korenkova, Tetyana Serdiuk, Oleksandr Korzeniewska, Ewa Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk39600 Ukraine Lodz University of Technology Institute of Electrical Engineering Systems Lodz Poland

ISBN: (纸本)9798350359787

The expediency of using multi-functional laboratory stands in the process of training specialists in the electromechanical profession is substantiated. The paper contains characteristics of the small-scale model of the "Teplopunkt"laboratory stand, on the basis of which it is possible to research the means of automation of heating systems with supply ventilation. The structure of the automated control and monitoring system of the "Teplopunkt"laboratory stand is given. A laboratory workshop based on a small-scale model is developed. Its implementation allows improving the effectiveness of practical training of specialists in the field of automation of thermal processes. The dynamic characteristics of the operation of the laboratory stand with the maintenance of a constant temperature of the heat-transfer agent based on the mathematical model are obtained. © 2023 IEEE.

关键词： Electric drives

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Study on the Characteristics of Natural Grounding Resistance of Underground Tunnels 11th

Study on the Characteristics of Natural Grounding Resistance...

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11th Frontier Academic Forum of Electrical engineering, FAFEE 2024

作者： Ma, Pengyu Li, Benliang Zou, Jun State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China State Power Economic Research Institute Beijing102200 China

ISBN: (纸本)9789819787791

With the development of cities, underground tunnels are more and more widely used, and the reinforced concrete in their walls can be used as the natural grounding body of the tunnels. However, underground tunnels have curved structures, multiple cross-sections and deep-buried structures, and the electrical conductivity of the concrete is different from that of the soil, etc., and the traditional analytical method has limitations in calculating the grounding resistance of the tunnels in these cases. In order to satisfy the needs of practical engineering, this paper adopts a numerical method based on the MoM numerical method to analyze the grounding system of underground tunnels with complex geometries and to calculate the grounding resistance of reinforced concrete systems in underground tunnels. In order to assess the difference between the analytical solution and the exact solution, the article introduces a correction factor to measure the ratio between the two. Simulations are carried out for real cases, and the results show that the accuracy of the analytical solution can be improved by introducing the correction factor. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： correction factor grounding resistance numerical method Underground tunnels

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Management-Oriented Operating systems: Harnessing the Power of DAOs and Foundation Models

Management-Oriented Operating Systems: Harnessing the Power ...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Qin, Rui Li, Juanjuan Liang, Xiaolong Wang, Fei-Yue Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China Macau University of Science and Technology Faculty of Innovation Engineering Macau999078 China Institute of Automation The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9798350337020

This paper presents Management-Oriented Operating systems (M2OS) that leverages the power of parallel intelligence theory, Decentralized Autonomous Organizations (DAOs) and foundation models to revolutionize the manner of management in Cyber-Physical-Social systems (CPSS). The parallel architecture on M2OS is proposed, including the parallel interactive actual M2OS and artificial M2OS. Among them, the artificial M2OSs provide digital infrastructures for organizations to operate, collaborate, and make decisions in the virtual space, and conduct computational experiments to evaluate management decisions and predict future states of the actual M2OS. Through parallel execution and closed-loop feedback between the artificial and actual M2OSs, the management and control, experimentation and evaluation, as well as learning and training of the actual M2OS can be realized. Moreover, the functional layers of M2OS, including the infrastructure layer, data layer, scenario layer, modeling layer, decision layer, and application layer, are discussed. These layers work together to support the intelligent, autonomous, collaborative, and adaptive nature of the M2OS, and facilitate data-driven decision-making, optimize business operations, and empower managers with real-time actionable insights. The proposed M2OS paradigm has great potential to transform the management paradigm and opens up new possibilities for intelligent and collaborative decision-making. © 2023 IEEE.

关键词： cyber-physical-social systems Decentralized Autonomous Organizations foundation models management-oriented operating systems parallel intelligence

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Distributionally Robust control for Chance-Constrained Signal Temporal Logic Specifications 63

Distributionally Robust Control for Chance-Constrained Signa...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Kordabad, Arash Bahari Vlahakis, Eleftherios E. Lindemann, Lars Dimarogonas, Dimos V. Soudjani, Sadegh Max Planck Institute for Software Systems Kaiserslautern Germany Kth Royal Institute of Technology Division of Decision and Control Systems Stockholm Sweden University of Southern California Viterbi School of Engineering Thomas Lord Department of Computer Science Los Angeles United States

ISBN: (纸本)9798350316339

We consider distributionally robust optimal control of stochastic linear systems under signal temporal logic (STL) chance constraints when the disturbance distribution is unknown. By assuming that the underlying predicate functions are Lipschitz continuous and the noise realizations are drawn from a distribution having a concentration of measure property, we first formulate the underlying chance-constrained control problem as stochastic programming with constraints on expectations and propose a solution using a distributionally robust approach based on the Wasserstein metric. We show that by choosing a proper Wasserstein radius, the original chance-constrained optimization can be satisfied with a user-defined confidence level. A numerical example illustrates the efficacy of the method. © 2024 IEEE.

关键词： Stochastic systems

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The Perturbed Motion Modeling and Simulation for One Class Dynamical systems 7

The Perturbed Motion Modeling and Simulation for One Class D...

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7th IEEE International Conference on Actual Problems of Unmanned Aerial Vehicles Development, APUAVD 2024

作者： Voliansky, Roman Volianska, Nina Statsenko, Oleg Shramko, Iurii Sadovoi, Oleksandr Arif, Yunifa Miftachul National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Department of Electromechanical Systems Automation and Electric Drives Kyiv Ukraine Dniprovsk State Technical University Department of Electrical Engineering Kamyanske Ukraine University Islam Negeri Maulana Malik Ibrahim Malang Department of Informatics Engineering Malang Indonesia

ISBN: (纸本)9798331534141

Our paper deals with designing a mathematical framework to study the perturbed motion of linear dynamical systems, which consists of two subsystems with desired and real motions. The perturbed motion is defined as the difference between the desired and real motions. As a dynamical subsystem with real motion, we consider the first-order linear dynamical system with non-zero initial conditions and we study from zero to second-order dynamical systems to define the desired motion. During our studies, we show the benefits and disadvantages of each desired motion model. These researches allow us to determine the set of various mathematical models to study the perturbed motions as functions of only perturbed notion coordinates, input signals, and initial conditions. Because these models depend on the parameters of desired and real motions and some of them can change their values during system operation, we use interval methods to define boundary motions that are caused by minimal and maximal values of system parameters as well as input signals and initial conditions. The use of interval calculus gives us the possibility to perform an interval approximation of square nonlinearity which can be used to describe the model with ventilator torque. Usage of this approximation allows us to rewrite the system model in a linearlike form and study its boundary motions which are defined by boundaries of the domain where the system nonlinearity is defined. We prove our studies with simulation results and show the implementation possibility for developed models. © 2024 IEEE.

关键词： Dynamical systems

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