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Guest Editorial for Special Issue on Cyber-Physical Systems

IEEE/CAA Journal of Automatica Sinica 2015年第3期2卷 233-234页

作者： Youxian Sun Xinping Guan Jiming Chen Yilin Mo Zhejiang University the Chinese Academy of Engineering the Institute of Industrial Process Control and the National Engineering Research Center of Industrial Automation Zhejiang University Department of Automation Shanghai Jiao Tong University University Research Management Office Shanghai Jiao Tong University the Key Laboratory of Systems Control and Information Processing Ministry of Education of China the prestigious Innovative Research Team of the National Natural Science Foundation of China(NSFC) Department of Control Science and Engineering group of Networked Sensing and Control in the State Key laboratory of Industrial Control Technology Institute of Industrial Process Control at Zhejiang University the School of Electrical and Electronic Engineering at Nanyang Technological University

Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life

关键词： for WSAN Guest Editorial for Special Issue on Cyber-Physical Systems of into on WSN is

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Decoupling autopilot MIMO controller design

Decoupling autopilot MIMO controller design

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31st IASTED International Conference on Modelling, Identification, and control, MIC 2011

作者： Bányász, Csilla Keviczky, László Dept. of Automation and Informatics Control Engineering Research Group of the H. Ac. of Sc. Computer and Automation Research Institute of the H. Ac. of Sc. Kende u 13-17 H-1111 Budapest Hungary

ISBN: (纸本)9780889868632

The principal lateral motion of an aircraft is described by a minimum of fourth order coupled state variable model. It is interesting to investigate how a decoupling controller can be designed. The Youla-parametrization is a simple method to design controllers. The KB-parametrization is a successful extension of this method for two-degree-of freedom (2DOF) systems. The paper extends this methodology for multivariable case and applies to the decoupling lateral control.

关键词： controllers

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Reconfigurable control Design of Steering and Torque Vectoring Based on Reachability Set Analysis

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IFAC-PapersOnLine 2017年第1期50卷 3702-3707页

作者： Németh B. Gáspár P. Fenyes D. Bokor J. Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 Budapest H-1111 Hungary Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Hungary

The paper proposes a reconfigurable control design of steering and torque vectoring using a variable-geometry suspension system. Torque vectoring control is based on the independent driving of the wheels. Simultaneously, the steering angle is generated by the variable-geometry suspension system by varying the camber angle of the front wheels. The efficiency of wheel tilting and torque vectoring, and their coordinated actuation are in the focus of the paper. In the analysis a reachable set computation method on the polynomial model of the vehicle based on the trajectory reversing method and the Sum-of-Squares (SOS) programming is proposed. Based on the analysis results a reconfigurable control is designed using the Linear Parameter Varying (LPV) method. © 2017

关键词： Reachability analysis Reconfigurable control Torque-vectoring Variable-geometry suspension

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Generative Adversarial Networks:Introduction and Outlook

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 588-598页

作者： Kunfeng Wang Chao Gou Yanjie Duan Yilun Lin Xinhu Zheng Fei-Yue Wang IEEE State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences Department of Computer Science and Engineering University of Minnesota Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology

Recently, generative adversarial networks(GANs)have become a research focus of artificial intelligence. Inspired by two-player zero-sum game, GANs comprise a generator and a discriminator, both trained under the adversarial learning *** goal of GANs is to estimate the potential distribution of real data samples and generate new samples from that *** their initiation, GANs have been widely studied due to their enormous prospect for applications, including image and vision computing, speech and language processing, etc. In this review paper, we summarize the state of the art of GANs and look into the future. Firstly, we survey GANs' proposal background,theoretic and implementation models, and application ***, we discuss GANs' advantages and disadvantages, and their development trends. In particular, we investigate the relation between GANs and parallel intelligence,with the conclusion that GANs have a great potential in parallel systems research in terms of virtual-real interaction and integration. Clearly, GANs can provide substantial algorithmic support for parallel intelligence.

关键词： ACP approach adversarial learning generative adversarial networks(GANs) generative models parallel intelligence zero-sum game

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Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting

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Digital Communications and Networks 2023年第5期9卷 1221-1229页

作者： Weishan Zhang Xiao Chen Ke He Leiming Chen Liang Xu Xiao Wang Su Yang College of Computer Science and Technology China University of Petroleum(East China)China Sichuan Energy Internet Research Institute Tsinghua UniversityChina School of Computer and Communication Engineering Beijing University of Science and TechnologyChina State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Computer Science Fudan UniversityChina

Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power *** deep-learning-based methods can perform well if there are sufficient training data and enough computational ***,there are challenges in building models through centralized shared data due to data privacy concerns and industry *** learning is a new distributed machine learning approach which enables training models across edge devices while data reside *** this paper,we propose an efficient semi-asynchronous federated learning framework for short-term solar power forecasting and evaluate the framework performance using a CNN-LSTM *** design a personalization technique and a semi-asynchronous aggregation strategy to improve the efficiency of the proposed federated forecasting *** evaluations using a real-world dataset demonstrate that the federated models can achieve significantly higher forecasting performance than fully local models while protecting data privacy,and the proposed semi-asynchronous aggregation and the personalization technique can make the forecasting framework more robust in real-world scenarios.

关键词： Photovoltaic power forecasting Federated learning Edge computing CNN-LSTM

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Design of An Intelligent control System for Underground Directional Drilling Trajectory in Coal Mines 41

Design of An Intelligent Control System for Underground Dire...

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第41届中国控制会议

作者： Wangnian Li Min Wu Ke Yao Quanxin Li Chengda Lu Sheng Du School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Directional drilling trajectory control technology is one of the key technologies to realize automation and intelligence of underground tunnel drilling in coal *** construction of directional drilling in underground coal mines mainly relies on manual observation of measurement-while-drilling parameters to control the drilling trajectory,which is highly dependent on manual *** paper designs an intelligent control system of underground directional drilling trajectory for coal *** the idea of hierarchical design and modular design,this system collects and displays geometric parameters,geological parameters,and engineering parameters of the directional drilling ***,an intelligent decision-making platform for directional drilling trajectory prediction and control is developed,laying a foundation for the research of directional drilling trajectory prediction and intelligent control for coal mines.

关键词： Trajectory prediction trajectory control geometric parameters geological parameters engineering parameters

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Computing the shortest path tree in a weak visibility polygon 11th

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11th Conference on Foundations of Software Technology and Theoretical computer Science, FST and TCS, 1991

作者： Ghosh, Subir Kumar Maheshwari, Anil Pal, Sudebkumar Prasant Saluja, Sanjeev Veni Madhavan, C.E. Computer Science Group Tata Institute of Fundamental Research Bombay400005 India Computer Systems and Communications Group Tata Institute of Fundamental Research Bombay400005 India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur721302 India Computer Science Group Tata Institute of Fundamental Research Bombay400005 India Department of Computer Science and Automation Indian Institute of Science Bangalore560012 India

ISBN: (纸本)9783540549673

In this paper we propose two linear time algorithms for computing the shortest path tree rooted at any vertex of a weak visibility polygon. The first algorithm computes the shortest path tree in a polygon weakly visible from a given internal segment. The second algorithm computes the shortest path tree in a weak visibility polygon without the knowledge of a visibility segment. In both algorithms we use the convexity property of shortest paths in weak visibility polygons established in [4,11]. © Springer-Verlag Berlin Heidelberg 1991.

关键词： Visibility

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Design of an Intelligent Monitoring System for Operating States in a Coal Mine Drilling Process 41

Design of an Intelligent Monitoring System for Operating Sta...

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第41届中国控制会议

作者： Xiao Yang Luefeng Chen Sheng Du Chengda Lu Wangnian Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development trend of intelligent drilling in coal mines,an intelligent monitoring system for operating states in a drilling process is developed to solve the problems of incomplete display of drilling parameters and ineffective *** system realizes the remote monitoring of drilling *** mainly adopts the Fuzzy C-Means clustering algorithm to cluster the drilling *** it combines expert empirical knowledge to classify coal seams into soft,hard and alternating soft and hard coal *** boundary values are calculated according to the boundary ***,three drilling operating states,rated,conservative and over-excited,are judged to provide guidance for the drilling process control.

关键词： Drilling process Intelligent monitoring Fuzzy C-Means clustering Operating states

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A Two-Stage Strategy to Introduce Spectral Matching into Recognition of Occluded Objects

A Two-Stage Strategy to Introduce Spectral Matching into Rec...

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IEEE International Conference on Robotics and Biomimetics (ROBIO)

作者： Wu, Jia Yun Chen, Xiao Mechatronics and Control Lab National University of Singapore. She is now with No.29 Research institute China Electronics Technology Group Corporation Research Institute of Computer Application China Academy of Engineering Physics

ISBN: (纸本)9781467321273;9781467321259

when recognizing partially visible objects in a scene, a good global decision should be made based on locally gathered features for their recognition, since global information is corrupted. This local to global nature of occlusion recognition leads us to spectral matching technique. Unfortunately, spectral matching algorithms are not desirable for noisy data set from cluttered scene. In this paper, a top- down procedure is introduced into spectral matching for the recognition of occluded objects. Based on the two-stage strategy, both appearance and geometric information are taken into consideration. It is shown that the improvement has been made for spectral algorithms to recognize occluded objects.

关键词： clutter feature extraction geometry image matching object recognition

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Tensor product model transformation based friction compensation of a mechatronic system

Tensor product model transformation based friction compensat...

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14th International Conference on Intelligent engineering Systems, INES 2010

作者： Takarics, Béla Korondi, Péter Baranyi, Péter Dept. of Mechatronics Optics and Engineering Informatics Budapest University of Technology and Economics Budapest Hungary Cognitive Informatics Research Group Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9781424476527

The Tensor Product (TP) model transformation is a recently proposed technique for transforming given Linear Parameter-Varying (LPV) state-space models into polytopic model form, namely, to parameter-varying convex combination of Linear Time Invariant (LTI) systems. The main advantage of the TP model transformation is that it is executable in a straightforward way and the Linear Matrix Inequality (LMI) based control design frameworks can immediately be applied to the resulting polytopic models to yield controllers with tractable and guaranteed performance. The main contribution of this paper is that it represents the friction of a DC servo drive in TP model form, automatically designs LMI based controller for friction compensation. The reference signal compensation is also based on the TP model transformation. The results were simulated for speed control of the DC servo drive and were compared to other control techniques. © 2010 IEEE.

关键词： controllers

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