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第37届中国控制会议

作者： Nsubuga Latifu Zhuoyue Song Chao Duan Zhen Li Housheng Su Qinghe Wu Xiangdong Liu State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Key Laboratory of Drive and Control of Servo Motion System Ministry of Industry and Information Technology School of Automation Huazhong University of Science and Technology

This paper investigates a distributed finite-time attitude synchronization and tracking problem of multiple spacecraft when a time varying reference signal is available to only a subset of group *** Rodrigues parameters are used for attitude representation.A two layer sliding mode surface with fast non-singular terminal sliding mode surface（FNTSMS） as the inner layer and terminal sliding mode surface（TSMS） as the outer layer is used to create a full order sliding mode *** proposed distributed attitude coordination control law guarantees attitude synchronization and tracking as long as their exists atleast one spacecraft that has a direct access to the virtual leader’s time varying ***-time stability of the closed loop system is guaranteed by Lyapunov-based stability *** results are presented to validate the performance of the proposed control strategy.

关键词： Attitude synchronization Attitude tracking Finite-time Full-order sliding mode（FOSM） Distributed control

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A Soft-Sensing Model for Oxygen-Content in Flue Gases of Coal-Fired Power Plant Based on Neural Network

A Soft-Sensing Model for Oxygen-Content in Flue Gases of Coa...

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第37届中国控制会议

作者： Xin Chen Jingcheng Wang Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University

As the main force of power generation in China, coal-fired power plants have great significance for energy conservation and emission reduction. The oxygen content in flue gases is an important index to reflect the combustion efficiency of the boiler, and the accurate monitoring is an effective way to improve combustion efficiency. Based on the BP neural network, a soft-sensing model for oxygen content in flue gases is proposed in this paper, this article, taking a boiler combustion system of 600 MW coal-fired power plant unit in Jiaxing, Zhejiang as the research object, through real-time measurement data of DCS system, a flue gases oxygen content model is established, and this model has realized the soft measurement to flue gases oxygen content, the simulation results prove the validity of the soft sensing model. This model has great significance to the monitoring of the oxygen content in flue gases of boiler combustion system and the further study of combustion optimization on this basis.

关键词： BP Neural Network Flue Gases Oxygen Content Soft Sensing Model

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Effects of drug resistance in the tumour-immune system with chemotherapy treatment

arXiv

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arXiv 2020年

作者： Trobia, José Gabrick, Enrique C. Seifert, Evandro G. Borges, Fernando S. Protachevicz, Paulo R. Szezech, José D. Iarosz, Kelly C. Santos, Moises S. Caldas, Iberê L. Tian, Kun Ren, Hai-Peng Grebogi, Celso Batista, Antonio M. Graduate Program in Science - Physics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Department of Mathematics and Statistics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Department of Physics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do CampoSP09606-045 Brazil Institute of Physics University of São Paulo São PauloSP05508-900 Brazil Faculty of Telêmaco Borba FATEB Telêmaco BorbaPR84266-010 Brazil Graduate Program in Chemical Engineering Federal Technological University of Paraná Ponta Grossa Paraná84016-210 Brazil Shaanxi Key Lab of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Xi’an Technological University Xi’an710021 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom

Cancer is a term used to refer to a large set of diseases. The cancerous cells grow and divide and, as a result, they form tumours that grow in size. The immune system recognise the cancerous cells and attack them, though, it can be weakened by the cancer. One type of cancer treatment is chemotherapy, which uses drugs to kill cancer cells. Clinical, experimental, and theoretical research has been developed to understand the dynamics of cancerous cells with chemotherapy treatment, as well as the interaction between tumour growth and immune system. We study a mathematical model that describes the cancer growth, immune system response, and chemotherapeutic agents. The immune system is composed of resting cells that are converted to hunting cells to combat the cancer. In this work, we consider drug sensitive and resistant cancer cells. We show that the tumour growth can be controlled not only by means of different chemotherapy protocols, but also by the immune system that attacks both sensitive and resistant cancer cells. Furthermore, for all considered protocols, we demonstrate that the time delay from resting to hunting cells plays a crucial role in the combat against cancer cells. Copyright © 2020, The Authors. All rights reserved.

关键词： Chemotherapy

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Layout Optimization of Large-scale Urban Water Supply Network Pressure Measuring Point Distribution Using Genetic Algorithm 36

Layout Optimization of Large-scale Urban Water Supply Networ...

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第36届中国控制会议

作者： Huayi Luo Jingcheng Wang Xiaocheng Li Jiayu Zhu Department of Automation Shanghai JiaoTong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University

ISBN: (纸本)9781538629185

In the urban water supply system, the location and quantity of the pressure monitoring nodes play a significant role for the monitoring effect and the response warning of the pipe burst. However, most installation of pressure monitoring nodes are based on human experience, which cannot totally present the whole water supply system condition. In view of the unreasonable layout of pressure monitoring nodes, this paper presents a solution Integrating sensitivity analysis, genetic algorithm, hydraulic model calculation and pipe network topology. Then optimize the number of pressure monitoring nodes by considering the amount of water covered and the number of associated nodes. This solution offers a relatively accurate and reasonable way to optimize the layout of pressure monitoring nodes in large-scale site selection, presenting better comprehensive effect compared with previous layout. To a certain extent, this optimized layout of pressure monitoring nodes reduce the impact of human factors and improve the monitoring of water supply network operation results.

关键词： pressure measuring point layout optimization genetic algorithm urban water supply network

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Study on Model of Ash Fouling Monitoring in Rotary Air Preheater of Coal-fired Power Plant Boiler 36

Study on Model of Ash Fouling Monitoring in Rotary Air Prehe...

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第36届中国控制会议

作者： Ziyang Wei Jingcheng Wang Hongyuan Wang Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University

ISBN: (纸本)9781538629185

As an important equipment to preheat air and to improve coal-fired power plant boiler efficiency with the heat of boiler tail flue gas,the air preheater's safe and economic operation influences unit efficiency *** present,above 80%utility-type unit in domestic uses tri-sectional rotary air ***,the rotary air preheater has become an indispensable auxiliary machinery in modern large ***,a kind of air preheater heat transfer model of inverse flue gas flow is proposed in this paper,the ash fouling situation of air preheater is showed with the cleanliness factors based on heat transfer model and flue gas pressure drop model ***,the cleanliness factor of air preheater is calculated and gained through thermodynamics indirectly with energy balance *** to the verification results of the actual operation data of a 600 MW coal-fired unit,both of these two kinds of mode can reflect the dynamic change of ash fouling situation of air preheater in real time,and among which,the cleanliness factor based on flue gas pressure drop mode has a better online monitoring result on ash fouling situation of heat transfer surface.

关键词： Coal-fired Power Plant Boiler Tri-sectional Rotary Air Preheater Reverse Flue Gas Flow Ash Fouling Cleanliness Factor

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Robustness of the complex networks by statistical physics method 36

Robustness of the complex networks by statistical physics me...

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第36届中国控制会议

作者： Hai Lin Jincheng Wang Xiaocheng Li Hongyuan Wang Bin Ma Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China Autonomous Systems and Intelligent Control nternational Joint Research Center Xian Technological University

ISBN: (纸本)9781538629185

In this study,we present a novel analytical approach for robustness on Erdos-Renyi（ER） networks by introducing statistical physics *** establish an exact mapping relation between ER networks and Ising *** on the mapping relation,we obtain the partition function of the ER networks and use it to determine the size of the giant component and the value of the critical edge present probability in ER *** extend the approach to investigate the size of remaining giant component and the critical fraction of the nodes removed in the ER networks whose nodes under the randomly attack.

关键词： Percolation Erdos-Renyi（ER） networks Ising model mapping relation

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Dependency-Enhanced Reordering Model for Chinese-English SMT 35

Dependency-Enhanced Reordering Model for Chinese-English SMT

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第35届中国控制会议

作者： WANG Miaomiao XIE Guo DU Jinhua Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781509009107

This paper proposes a dependency-enhanced pre-reordering method for Chinese-English statistical machine translation(SMT).Firstly,two kinds of dependency structure-based rules are extracted based on the source-side dependency tree and corresponding word alignments between the source-side and the target-side *** a maximum entropy classifier is used to calculate the orientation probability in terms of swap or monotone between two *** a result,a reordering rule set is *** different ways are proposed to filter out the rule ***,the dependency parsing trees of the training data,development set and the test set are traversed,and if the syntactic sub-tree structure matches the rules in the rule set,the word orders will be ***,a reordered source-side sentence is generated and then fed into an SMT system for *** conducted on NIST Chinese-English MT data sets show that the proposed method significantly improves translation performance by 0.46 BLEU compared to the baseline system.

关键词： Statistical Machine Translation Word Alignment Dependency Syntactic Parsing

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Robust Semi-global Coordinated Tracking of Saturated Networked systems

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IFAC-PapersOnLine 2017年第1期50卷 8303-8308页

作者： Wang X. Su H. Cai Y. Department of Automation Shanghai Jiaotong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China

This paper focuses on the robust semi-global coordinated tracking of general linear systems subject to input saturation together with input additive disturbance and dead zone. A fully distributed algorithm which relating only with the number of the following agents and the relative state information of its neighbors is first constructed, and then sufficient conditions guaranteeing the robust semi-global consensus tracking and the robust semi-global swarm tracking are provided, respectively, on the basis of the low-and-high feedback technique. Finally, numerical simulations are performed to illustrate the effectiveness of the theoretical results. © 2017

关键词： dead zone input additive disturbance input saturation Networked system robust coordinated tracking

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The Identification of Stochastic Time-varying Parameters for Nonlinear system 35

The Identification of Stochastic Time-varying Parameters for...

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第35届中国控制会议

作者： XIE Guo ZHANG Dan QIAN Fucai Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781509009107

In this paper, a method for a sort of nonlinear system identification with stochastic time-varying parameter is investigated. This kind of nonlinear systems is referring to the system where probability density functions(PDFs) of the parameters are known. This parameter identification and states estimation method is realized based on expectation maximization(EM) algorithm and particle filter. Firstly, parameter particles are generated randomly according to the PDF of parameter. Secondly, the particle filter is employed to estimate system states corresponding to each group of the parameters, and the weight of each group parameters is calculated according to the Bayesian theory. Then the new iteration of parameter is obtained by adopting the expectation maximization algorithm. Lastly, the real parameters are obtained along with system operation. Numerical illustrations are presented to exhibit the effectiveness of the method proposed herein, and the performance of the method is examined.

关键词： Stochastic time-varying parameter Parameter identification Nonlinear system Expectation Maximization algorithm(EM)

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Application of Case Teaching Method in Artificial Intelligence Teaching

Application of Case Teaching Method in Artificial Intelligen...

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作者： Li Huang Wei Hu Chong Tan College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology

Aiming at the current situation of poor quality of artificial intelligence teaching and weak students' interest in learning, a case teaching method is proposed. This paper analyzes the teaching status of artificial intelligence firstly, and then systematically describes the case teaching method. Finally, the necessity of introducing case teaching method into artificial intelligence teaching is studied. Practice shows that the case teaching method can effectively enhance students' self-learning ability, improve students' comprehensive innovation ability, and promote the development of artificial intelligence teaching.

关键词： Case teaching method Artificial intelligence Teaching case Course

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