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6th European control Conference, ECC 2001

作者： Cuzzola, Francesco A. Geromel, Jose C. Morari, Manfred Automatic Control Laboratory Swiss Federal Institute of Technology Physikstrasse 3 ZurichCH-8092 Switzerland LAC-DT School of Electrical and Computer Engineering UNICAMP C.P. 6101 Campinas SP13081-970 Brazil

ISBN: (纸本)9783952417362

In this paper we present a new technique to face the so-called constrained Model Predictive control. The main advantage of this new approach with respect to other well-known techniques is represented by the reduced conservativeness. More precisely, the technique described in this paper can be applied to polytopic uncertain systems and is based on the use of several Lyapunov functions each one corresponding to a different vertex of the uncertainty's polytope. © 2001 EUCA.

关键词： Linear matrix inequalities

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The ChatGPT After: Building Knowledge Factories for Knowledge Workers with Knowledge Automation

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IEEE/CAA Journal of automatica Sinica 2023年第11期10卷 2041-2044页

作者： Yutong Wang Xiao Wang Xingxia Wang Jing Yang Oliver Kwan Lingxi Li Fei-Yue Wang State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China School of Artificial Intelligence Anhui UniversityHefei 230039China Motion G Inc068898Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndiana 46202-5132 USA IEEE

Briefing: This perspective introduces the concept and framework of knowledge factories with knowledge machines for knowledge workers to achieve knowledge automation for Industry 5.0 and intelligent *** The big hit of Chat GPT makes it imperative to contemplate the practical applications of big or foundation models [1]-[5]. However, as compared to conventional models, there is now an increasingly urgent need for foundation intelligence of foundation models for real-world industrial applications.

关键词： Automation template Chat GPT

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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

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IEEE/CAA Journal of automatica Sinica 2016年第2期3卷 113-120页

作者： Fei-Yue Wang Jun Jason Zhang Xinhu Zheng Xiao Wang Yong Yuan Xiaoxiao Dai Jie Zhang Liuqing Yang IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems The National University of Defense Technology the Department of Electrical and Computer Engineering Ritchie School of Engineering and Computer Science University of Denver the Department of Computer Science and Engineering University of Minnesota the Qingdao Academy of Intelligent Industries (QAII) Qingdao Shandong China and SKL-MCCS CASIA the Department of Electrical and Computer Engineering Colorado State University

An investigation on the impact and significance of the AlphaGo vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the AlphaGo Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence. Specifically, the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation. © 2014 Chinese Association of Automation.

关键词： Religious buildings

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MPPT of a PV panel based on fuzzy logic and sliding mode controller

MPPT of a PV panel based on fuzzy logic and sliding mode con...

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International Conference on sciences and Techniques of automatic control and computer engineering (STA)

作者： Taleb Hamdi Khaled Elleuch Hafed Abid Ahmed Toumi National School of Engineering of Sfax Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) Sfax Tunisia

ISBN: (纸本)9781665482622

In this work we present a sliding mode controller to control a boost DC-DC converter inserted in a photovoltaic system. The controller includes a combination between Fuzzy logic supervisor and sliding mode control to extract maximum power from PV systems. The proposed algorithms is compared with conventional algorithms such as the Perturb and observe (P&O) algorithm, incremental conductance (InC) and also unconventional algorithms such as FLC while varying irradiation. The simulation results confirm the performance and its robustness compared to other controllers.

关键词： Fuzzy logic Photovoltaic systems Radiation effects Adaptation models Simulation Regulation Robustness

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Sliding Mode control In A Wind Turbine System

Sliding Mode Control In A Wind Turbine System

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International Conference on sciences and Techniques of automatic control and computer engineering (STA)

作者： Atef Jemmali Khaled Elleuch Hafedh Abid Ahmed Toumi Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) National School of Engineering of Sfax Sfax Tunisia

ISBN: (纸本)9781665482622

This paper is interested in the control of a DFIG by a sliding mode controller, used in a wind system. The conversion chain comprises a three-blade turbine, the DFIG, a rotor-side converter, a capacitor, grid-side converter and a line-side filter. The sliding mode control is used to control the direct and quadratic current of the rotor; this type of regulator was used especially for its robustness against the parametric variations of the generator.

关键词： Regulators Capacitors Doubly fed induction generators Rotors Robustness Generators Wind turbines

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A Deep Learning Approach for Faults Recognition of Dissolved Oxygen Sensor in Wastewater Treatment Plants 28

A Deep Learning Approach for Faults Recognition of Dissolved...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Ghinea, Liliana Maria Miron, Mihaela Ratnaweera, Harsha Electrical Engineering and Electronics Faculty of Automation Computers Department of Automatic Control and Electrical Engineering Department Galaţi Romania Computers Electrical Engineering and Electronics Faculty of Automation Department of Computer Science and Information Technology Galaţi Romania Norwegian University of Life Sciences Faculty of Science and Technology Oslo Norway

ISBN: (纸本)9798350339918

Fault diagnosis in wastewater treatment plants (WWTPs) is important to protect communities and ecosystems from toxic elements discharged into water. In this sense, fault identification of sensors plays an important role as they are the key components of the water plants control, especially because environmental legislation is very strict when referring to failures or anomalies in WWTPs. This paper analyzes the performances of two Deep Learning models, a Feedforward Neural Network (FFNN) and a 1D Convolution Neural Network (1DCNN) for identifying five operating states of the dissolved oxygen (DO) sensor: normal and faulty (bias, stuck, spike and precision degradation faults). The experiments were conducted on the Benchmark Simulator Model No 2 (BSM2) developed by the IWA Task Group. The performance of the Deep Learning (DL) classifiers was evaluated via accuracy, precision, recall, and F1-score metrics. The best overall classification accuracy was obtained by FFNN, 98.32% for training and 98.30% for testing. © 2023 IEEE.

关键词： Wastewater treatment

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automatic Identification for Projector Brand and Model Number 1

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6th International Conference on Data Mining and Big Data, DMBD 2021

作者： Li, Zuoyong Wang, Weice Zhang, Fuquan Fan, Haoyi Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou350002 China School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China

ISBN: (数字)9789811674761

ISBN: (纸本)9789811674754

The projector production process needs to pack manufactured projectors. The key step of projector packing is to check whether the brand and model number of the projector is correct or not, for avoiding the projector’s packing error. To achieve automation of identifying projector brand and model number for improving the efficiency of the projector packing, we proposed an automatic identification method by using image processing, character recognition, and string matching. Specifically, image grayscale processing, image gradient calculation, morphological operations, and image thresholding are sequentially performed to determine candidate target regions located by a projector's brand and model number. Then, two shape prior-based image features are designed to perform target region screening, i.e., excluding fake target regions as far as possible. Next, the character recognition technology is used to extract the texts in the target regions. Finally, string matching is performed to obtain identification results of the projector's brand and model number. Experimental results on several projectors demonstrate the effectiveness of the proposed method on automatic identification of projector brand and model number. The proposed method provides a general framework for identifying the brand and model number of other similar electronic products. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Character recognition

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Knowledge, information and creativity support systems: Selected papers from KICSS’2014— 9th international conference, held in Limassol, Cyprus, on november 6–8, 2014 9th

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9th International Conference on Knowledge, Information and Creativity Support Systems, KICSS 2014

作者： Kunifuji, Susumu Papadopoulos, George Angelos Skulimowski, Andrzej M. J. Kacprzyk, Janusz Kanazawa Japan Department of Computer Science University of Cyprus Nicosia Cyprus Department of Automatic Control and Biomedical Engineering AGH University of Science and Technology Kraków Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland

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Measurement of atmospheric nanoparticles:Bridging the gap between gas-phase molecules and larger particles

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Journal of Environmental sciences 2023年第1期123卷 183-202页

作者： Chao Peng Chenjuan Deng Ting Lei Jun Zheng Jun Zhao Dongbin Wang Zhijun Wu Lin Wang Yan Chen Mingyuan Liu Jingkun Jiang Anpei Ye Maofa Ge Weigang Wang State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular Sciences(BNLMS)CAS Research/Education Center for Excellence in Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijing 100190China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China School of Environment Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China School of Atmospheric Sciences Sun Yat-sen UniversityZhuhaiGuangdong 519082China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science&EngineeringFudan UniversityShanghai 200433China Key Laboratory for the Physics and Chemistry of Nanodevices Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China University of Chinese Academy of Sciences Beijing 100049China

Atmospheric nanoparticles are crucial components contributing to fine particulate matter(PM_(2.5)),and therefore have significant effects on visibility,climate,and human *** to the unique role of atmospheric nanoparticles during the evolution process from gas-phase molecules to larger particles,a number of sophisticated experimental techniques have been developed and employed for online monitoring and characterization of the physical and chemical properties of atmospheric nanoparticles,helping us to better understand the formation and growth of new *** this paper,we firstly review these state-of-the-art techniques for investigating the formation and growth of atmospheric nanoparticles(e.g.,the gas-phase precursor species,molecular clusters,physicochemical properties,and chemical composition).Secondly,we present findings from recent field studies on the formation and growth of atmospheric nanoparticles,utilizing several advanced ***-more,perspectives are proposed for technique development and improvements in measuring atmospheric nanoparticles.

关键词： Nanoparticle Measurement techniques Size distributions Physical properties Chemical composition

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Low complexity constraint control using contractive sets 19

Low complexity constraint control using contractive sets

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Hovd, Morten Olaru, Sorin Bitsoris, George Engineering Cybernetics Department Norwegian University of Science and Technology TrondheimN-7491 Norway SUPELEC Systems Science Automatic Control Department EPI INRIA DISCO 3 rue Joliot Curie 91192 France Control Systems Laboratory Department of Electrical and Computer Engineering University of Patras Patras26500 Greece

ISBN: (纸本)9783902823625

This paper proposes a simple, non-iterative way of calculating low-complexity controlled contractive sets, and shows how such set can be used for controller design for systems with state and input constraints. The result is a low complexity controller, suitable for implementation in embedded control systems with modest computational power and available memory. © IFAC.

关键词： controllers

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