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arXiv 2020年

作者： Li, Weijian Zeng, Xianlin Liang, Shu Hong, Yiguang Department of Automation University of Science and Technology of China HefeiAnhui230027 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Institute of Artificial Intelligence University of Science and Technology Beijing Beijing100083 China

We consider minimizing a sum of non-smooth objective functions with set constraints in a distributed manner. As to this problem, we propose a distributed algorithm with an exponential convergence rate for the first time. By the exact penalty method, we reformulate the problem equivalently as a standard distributed one without consensus constraints. Then we design a distributed projected subgradient algorithm with the help of differential inclusions. Furthermore, we show that the algorithm converges to the optimal solution exponentially for strongly convex objective functions. Copyright © 2020, The Authors. All rights reserved.

关键词： Constrained optimization

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LPV active fault-tolerant control strategy of large civil aircraft under elevator failures

LPV active fault-tolerant control strategy of large civil ai...

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CSAA/IET International Conference on Aircraft Utility systems 2020, AUS 2020

作者： Zhou, Zhiyuan Wang, Xingjian Wang, Shaoping Zhang, Yuwei Gavrilov, Alexander I. Nagamune, Ryozo School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Bauman Moscow State Technical University Department of Automatic Control Systems Moscow105005 Russia Department of Mechanical Engineering The University of British Columbia VancouverBCV6T1Z4 Canada

ISBN: (纸本)9781839535635

This paper proposes a scheme to achieve fault tolerant control to elevator failure of large aircraft. Meanwhile, the model of aircraft is expressed by linear-parameter-varying (LPV), and an LPV controller is designed. The approaches of H-infinity and pole assignment using linear matrix inequalities (LMIs) tools are used to design the states feedback controller, keeping the stability, rapidity and robustness. Moreover, an additional scheduling parameter of effectiveness of the elevator is introduced to the model and controller, keeping the desired performance when elevator failure happens by the nominal controller, avoiding the retuning the controller. The simulation are shown to prove the method. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： controllers

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Environmental quality monitoring with unmanned aircraft vehicle

Environmental quality monitoring with unmanned aircraft vehi...

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Agata Dąbrowska Michał Adamski Adam Dąbrowski Tomasz Jankowski Michał Kliczkowski Adam Mickiewicz University Poznań Poland Division of Signal Processing and Electronic Systems ul. Jana Pawł a II 24 Poznań University of Technology Faculty of Control Robotics and Electrical Engineering Institute of Automation and Robotics Poznań Poland

ISBN: (数字)9788362065394

ISBN: (纸本)9781728177465

The paper discusses issues related to the possibility of using unmanned aerial vehicles (UAV) as an alternative to stationary analyses in the assessment of environmental quality, with particular emphasis on air pollutants such as particulate matter (PM), volatile organic compounds (VOCs), formaldehyde and SO 2 . In the course of the study, a simple mobile and automated measuring equipment was developed, with a miniaturized and lightweight design, which made it possible to place it on board of an unmanned aircraft. The applied solutions, including electrochemical sensors, allow to measure concentrations of specific substances or aspiration of samples from selected places for further analyses in a stationary laboratory. Thanks to communication with web server, the results can be collected online. Unlike stationary measurement methods, the mobility of unmanned aerial vehicles allows to obtain a larger number of measurement points from a larger area, which in turn allows to map zones particularly exposed to emissions and to assess the existing hazards on an ongoing basis.

关键词： Pollution measurement Atmospheric measurements Unmanned aerial vehicles Particle measurements Extraterrestrial measurements Urban areas Pollution

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Performance Evaluation of Faults in a Photovoltaic Array Based on V-I and V-P Characteristic Curve

Performance Evaluation of Faults in a Photovoltaic Array Bas...

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International Conference on Measuring Technology and Mechatronics automation, ICMTMA

作者： Ehtisham Lodhi Wang Lina Yang Pu M. Yaqoob Javed Zeeshan Lodhi Jiao Zhijie Usman Javed School of Automation Science and Electrical Engineering Beihang University Beijing China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering COMSATS University Islamabad Lahore Pakistan Department of Electrical and Computer Engineering COMSATS University Islamabad Abbottabad Pakistan The Guo China-US photonics Lab Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun China

ISBN: (数字)9781728170817

ISBN: (纸本)9781728170824

The prediction and forecasting of faults occurring in photovoltaic (PV) system is one of the important aspect to escalate the reliability, output power generation, proficiency, lifetime and effectiveness of overall system. In this article, the behavior of PV array is studied under various faulty circumstances and new approach has offered for the better performance assessment of PV array. This approach is established on the analysis of peculiarities displayed by voltage power (V-P) and voltage-current (V-I) characteristics curves of PV array under different faulty conditions. The proposed technique can be used to identify and classify the five common faults in PV system. These progressive faults (includes open circuit, line-to-line, partial shading, degradation and bridging faults) have been occurred at the basic components of PV cell and at the connection point between PV modules. The characteristic curves under normal and faulty conditions have been compared by utilizing Matlab/Simulink environment. Hence, the suggested method can be utilized to determine the important fact about the health PV array.

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Cloud-Fog automation: The New Paradigm towards Autonomous Industrial Cyber-Physical systems

arXiv

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arXiv 2025年

作者： Jin, Jiong Pang, Zhibo Kua, Jonathan Zhu, Quanyan Johansson, Karl H. Marchenko, Nikolaj Cavalcanti, Dave School of Engineering Swinburne University of Technology HawthornVIC3122 Australia Department of Intelligent Systems KTH Royal Institute of Technology Stockholm10044 Sweden Department of Automation Technology ABB Corporate Research Sweden Västerås72226 Sweden School of Information Technology Deakin University GeelongVIC3220 Australia Department of Electrical and Computer Engineering Tandon School of Engineering New York University BrooklynNY11201 United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science and Digital Futures KTH Royal Institute of Technology Stockholm10044 Sweden Corporate Research Robert Bosch GmbH Renningen71272 Germany Intel Corporation Santa ClaraCA95054 United States

Autonomous Industrial Cyber-Physical systems (ICPS) represent a future vision where industrial systems achieve full autonomy, integrating physical processes seamlessly with communication, computing and control technologies while holistically embedding intelligence. Cloud-Fog automation is a new digitalized industrial automation reference architecture that has been recently proposed. This architecture is a fundamental paradigm shift from the traditional International Society of automation (ISA)-95 model to accelerate the convergence and synergy of communication, computing, and control towards a fully autonomous ICPS. With the deployment of new wireless technologies to enable almost-deterministic ultra-reliable low-latency communications, a joint design of optimal control and computing has become increasingly important in modern ICPS. It is also imperative that system-wide cyber-physical security are critically enforced. Despite recent advancements in the field, there are still significant research gaps and open technical challenges. Therefore, a deliberate rethink in co-designing and synergizing communications, computing, and control (which we term "3C co-design") is required. In this paper, we position Cloud-Fog automation with 3C co-design as the new paradigm to realize the vision of autonomous ICPS. We articulate the state-of-the-art and future directions in the field, and specifically discuss how goal-oriented communication, virtualization-empowered computing, and Quality of Service (QoS)-aware control can drive Cloud-Fog automation towards a fully autonomous ICPS, while accounting for system-wide cyber-physical security. © 2025, CC BY-SA.

关键词： Computer control

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Cloud-Fog automation: The New Paradigm towards Autonomous Industrial Cyber-Physical systems

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IEEE Journal on Selected Areas in Communications 2025年

作者： Jin, Jiong Pang, Zhibo Kua, Jonathan Zhu, Quanyan Johansson, Karl H. Marchenko, Nikolaj Cavalcanti, Dave Swinburne University of Technology School of Engineering HawthornVIC3122 Australia KTH Royal Institute of Technology Department of Intelligent Systems Stockholm10044 Sweden ABB Corporate Research Sweden Department of Automation Technology Västerås72226 Sweden Deakin University School of Information Technology GeelongVIC3220 Australia New York University Tandon School of Engineering Department of Electrical and Computer Engineering BrooklynNY11201 United States KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science and Digital Futures Stockholm10044 Sweden Robert Bosch GmbH Corporate Research Renningen71272 Germany Intel Corporation Santa ClaraCA95054 United States

关键词： Computer control

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Resonant beam communications with echo interference elimination

arXiv

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arXiv 2021年

作者： Xiong, Mingliang Liu, Qingwen Wang, Gang Giannakis, Georgios B. Zhang, Sihai Zhu, Jinkang Huang, Chuan College of Electronics and Information Engineering Tongji University Shanghai201804 China State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Key Lab of Wireless-Optical Communications University of Science and Technology of China Hefei Anhui230026 China School of Science and Engineering Chinese University of Hong Kong Shenzhen Guangdong518172 Hong Kong

Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier. Besides, the RBCom system possesses the characteristics of mobility, high signal-to-noise ratio (SNR), and multiplexing. Nevertheless, the channel of the RBCom system is distinct from other light communication technologies due to the echo interference issue. In this paper, we reveal the mechanism of the echo interference and propose the method to eliminate the interference. Moreover, we present an exemplary design based on frequency shifting and optical filtering, along with its mathematic model and performance analysis. The numerical evaluation shows that the channel capacity is greater than 15 bit/s/Hz. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

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Evolution of cooperation in spatial public goods games driven by reinforcement learning and environmental feedback

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Chaos, Solitons & Fractals 2025年 199卷

作者： Yujin Yang Dawei Zhao Juan Wang Tianjin Key Laboratory for Control Theory and Complicated Industry Systems Tianjin University of Technology Tianjin 300384 PR China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin 300384 PR China Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 PR China

The human decision-making process is highly complex, involving individual emotion, personality, preference and even social background or environment. In order to mimic intergenerational interest conflicts within the carbon generalized system of preferences, we propose a hybrid strategy update mechanism that integrates reinforcement learning (Q-learning) and Fermi-like imitation dynamics, aiming to explore the evolutionary patterns of cooperative behaviors in social dilemmas. By constructing a spatial evolutionary game model that simulates individual interactions in regular lattices, we analyze the impact of dynamic environmental state changes on strategic selection. The numerical results reveal that reinforcement learning significantly promotes the emergence of altruistic cooperators and maintains superior environmental conditions by balancing short-term gains with long-term environmental benefits. The hybrid update mechanism effectively mitigates the exploitation of cooperators by defectors, achieving the dynamic co-existence of three different strategies at the stationary state. Furthermore, the environmental payoff coefficient and the threshold range of the environmental health index emerge as critical parameters to resolve cooperation dilemmas, while the network scale does not show a significant impact on the extension and generalizability of the model. These findings provide some theoretical support for us to optimize carbon emission reduction policies, highlighting the crucial role of heterogeneous individual decision-making and long-term environmental feedback in low-carbon transitions.

关键词： Environmental feedback Evolutionary game theory Fermi-like imitation Public goods game Reinforcement learning

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Resilient Multi-Dimensional Consensus in Adversarial Environment

arXiv

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arXiv 2020年

作者： Yan, Jiaqi Li, Xiuxian Mo, Yilin Wen, Changyun Department of Automation BNRist Tsinghua University Beijing China Department of Control Science and Engineering College of Electronics and Information Engineering Institute for Advanced Study Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

This paper considers the multi-dimensional consensus in networked systems, where some of the agents might be misbehaving (or faulty). Despite the influence of these misbehaviors, the benign agents aim to reach an agreement while avoiding being seriously influenced by the faulty ones. To this end, this paper first considers a general class of consensus algorithms, where each benign agent computes an "auxiliary point" based on the received values and moves its state toward this point. Concerning this generic form, we present conditions for achieving resilient consensus and obtain a lower bound on the exponential convergence rate. Assuming that the number of malicious agents is upper bounded, two specific resilient consensus algorithms are further developed based on the obtained conditions. Particularly, the first solution, based on Helly's Theorem, achieves the consensus within the convex hull formed by the benign agents' initial states, where the auxiliary point can be efficiently computed through linear programming. On the other hand, the second algorithm serves as a "built-in" security guarantee for standard average consensus algorithms, in the sense that its performance coincides exactly with that of the standard ones in the absence of faulty nodes while also resisting the serious influence of the misbehaving ones in adversarial environment. Some numerical examples are provided in the end to verify the theoretical results. © 2020, CC BY.

关键词： Linear programming

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Application of Iterative Learning control in X-Y Precision Planar Motion Platform

Application of Iterative Learning Control in X-Y Precision P...

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Chinese automation Congress (CAC)

作者： Hongyu Yan Danping Jia Tao Zhang Hualiang Zhang Yingjie Xiong Xu Lu Yang Liu School of Artificial Intelligence Shenyang University of Technology Shenyang China School of Information Science and Engineering Shenyang University of Technology Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China School of Electrical Engineering Dalian University of Technology Dalian China College Of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781665426480

The size of the tracking error is one of the important indicators to measure the control system of the X-Y Precision Planar Motion Platform. Iterative learning control (ILC) can obtain higher tracking accuracy through multiple iterations. However, it is found in experiments that the tracking error of the XY precision motion stage using ordinary PD-type iterative learning will eventually fluctuate in a relatively range, and some high-frequency Noise will seriously affect the stability of the system after many iterations. Aiming at the above problems, a PD-type variable gain open-closed loop ILC with a low-pass filter is proposed. This control scheme can effectively remove high-frequency noise and reduce tracking errors. Finally, a hardware-in-the-loop real-time simulator is used to conduct a comparative experiment. Through comparison with PID controller and ordinary PD-type ILC, the experimental consequence show that this arithmetic has a smaller tracking error than the other two algorithms.

关键词： Tracking loops Tracking Low-pass filters control systems Size measurement Stability analysis Real-time systems

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