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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper is concerned with the iterative learning control(ILC) problem for discrete-time systems with iterationvarying *** the so-called super-vector approach to ILC,the discrete domain bounded real lemma is employed to develop a sufficient condition ensuring both the stability and the desired H∞ performance of the ILC *** is shown that this sufficient condition can be presented in terms of linear matrix inequalities(LMIs),which can also determine the learning gain matrix.A numerical simulation example is included to validate the theoretical results.

关键词： Iterative learning control discrete-time systems iteration-varying disturbances H_∞ performance linear matrix inequality

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Robust Feedback Linearization Applied to a Separation Column for 13C

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AIP Conference Proceedings 2009年第1期1107卷 33-36页

作者： Eva‐Henrietta Dulf Cristina‐Ioana Pop Clement Festila Francisc Dulf aTechnical University of Cluj‐Napoca Faculty of Automation and Computer Science 25 Gh. Baritiu Str. 400027 Cluj‐Napoca Romania bUniversity of Agricultural Sciences and Veterinary Medicine Food Quality Control Department 3‐5 Mănăştur Str. Cluj‐Napoca Romania

In the present developing plan to apply the cryogenic technology for the production of the 13C, an efficient and safe operation is a strong reason to conceive and to apply a modern computer based control strategy. The authors are concerned with the problem of developing effective and readily implemental techniques for modelling and control of the isotope separation plant. These columns are characterized by complex nonlinearities, with large time‐delays. Furthermore, are subject to external disturbances, which are difficult to model. The present paper presents two models of the plant: a nonlinear model and a linear system obtained by robust feedback linearization.

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Distributed H∞ consensus control for networks of multiple agents with linear coupling dynamics

Distributed H∞ consensus control for networks of multiple a...

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SICE Annual Conference

作者： Yang Liu Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper is devoted to the consensus control for a network of autonomous agents with high-dimension linear coupling dynamics and subject to external disturbances. By transforming the consensus control problem into an H infin control problem, we propose a distributed state feedback protocol, and obtain conditions in terms of linear matrix inequalities (LMIs) to ensure the consensus with a prescribed H infin performance level for networks with zero and nonzero communication delays, respectively. Furthermore, the undetermined feedback matrix of the proposed protocol is also solved. A numerical example is included to validate the theoretical results.

关键词： control systems Communication system control Protocols Multiagent systems Vehicle dynamics Automatic control Telecommunication control Electronic mail Linear feedback control systems State feedback

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Adaptive multi-class support vector machine for microarray classification and gene selection

Adaptive multi-class support vector machine for microarray c...

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SICE Annual Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.

关键词： Support vector machines Support vector machine classification Electronic mail Programmable control Adaptive control Gene expression Learning systems Automatic control control systems Telecommunication control

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Comparison of rotary cement kiln identified models

Comparison of rotary cement kiln identified models

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International Conference on control and automation (ICCA)

作者： G. Noshirvani A. Fatehi B. Araabi M. Shirvani M. Azizi ACER Markaz Branch Arak Iran Advanced Process Automation & Control Research group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Chemical Engineering Department and member of Cement Research Center University of Science and Technology Tehran Iran Saveh Cement Company Saveh Iran

Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.

关键词： Kilns Production facilities Coatings Building materials Process control Mathematical model Mathematics Programmable control Adaptive control Robust control

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Intelligent modified predictive optimal control of reheater steam temperature in a large-scale boiler unit

Intelligent modified predictive optimal control of reheater ...

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IEEE General Meeting Power& Energy Society

作者： Kwang Y. Lee Liangyu Ma Chang-Jin Boo Won-Hee Jung Sung-Ho Kim Department of Electrical and Computer Engineering Baylor University Waco TX USA Automation Department School of Control Science and Engineering North China Electric Power University Baoding Hebei China Department of Electrical Engineering Cheju National University Jelu South Korea Corporate Research and Development Institute Doosan Heavy Industries and Construction Company Limited Taejon South Korea

A modified predictive optimal control (MPOC) scheme based on neural network modeling and particle swarm optimization (PSO) techniques is proposed in this paper for reheater steam temperature (RST) control of a large-scale boiler unit. A recurrent neural network is trained to directly model the temperature dynamic response of the reheater system. The neural network direct model is then used to evaluate the performance of the MPOC in search of the optimal control, where optimization is carried out with the PSO. A simplified PSO algorithm with search direction control is designed to find the nearest and optimal controls for the reheater steam temperature. To further improve the optimal search accuracy, each last-step prediction error between the direct model output and the actual RST is added to the current-step cost function to compensate for the model error. control tests on a full-scope simulator of a large scale power generating unit have shown the validity of the proposed method.

关键词： Optimal control Large-scale systems Boilers Predictive models Neural networks Temperature control Particle swarm optimization Recurrent neural networks Algorithm design and analysis Accuracy

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Multi-Innovation Stochastic Gradient Algorithm for Output Error Systems Based on the Auxiliary Model

Multi-Innovation Stochastic Gradient Algorithm for Output Er...

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2009 American control Conference (ACC 2009)

作者： Dongqing Wang Feng Ding Peter X. Liu College of Automation Engineering Qingdao University (Jiangnan University) Qingdao P.R. China 266071 Control Science and Engineering Research Center at the Jiangnan University Wuxi P.R. China 214122 Department of Systems and Computer Engineering Carleton University Ottawa Canada K1S 5B6

ISBN: (纸本)9781424445233

This paper combines the multi-innovation theory with the auxiliary model identification idea to present the auxiliary model based multi-innovation stochastic gradient algorithm by expanding the scalar innovation to an innovation vector and introducing the innovation length. Convergence analysis in the stochastic framework indicates that the parameter estimation error consistently converges to zero under certain excitation condition. Finally, we illustrate and test the proposed algorithm with an example.

关键词： Stochastic systems Convergence Educational institutions Stochastic processes Technological innovation Parameter estimation Least squares methods Covariance matrix Computational complexity White noise

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Real-time mobile robot teleoperation via Internet based on predictive control

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中国高等学校学术文摘·机械工程 2008年第3期3卷 299-306页

作者： Shihua WANG Bugong XU YunHui LIU Yeming ZHOU Laboratory of Real-Time Control Through Internet and Fieldbuses College of Automation Science and Engineering South China University of Technology Guangzhou 510640 China Naval Arms Command Academy of Guangzhou Guangzhou 510430 China Laboratory of Real-Time Control Through Internet and Fieldbuses College of Automation Science and Engineering South China University of Technology Guangzhou 510640 China Naval Arms Command Academy of Guangzhou Guangzhou 510430 China Department of Automation and Computer Aided Engineering The Chinese University of Hong Kong Shatin N.T. HK China

A remote control system that can control a mobile robot in real time via the internet is proposed. To compensate for the network delay and counteract its impact on the teleoperation system, a predictive control scheme based on the modified Smith predictor proposed is selected. To ensure the stability and transparency of the system, a dynamic model manager is designed based on the information exchange between the sensors at the mas-ter and slave sides. To precisely predict the time delay, a new timer synchronization algorithm is proposed. To decrease delay- jitter, a new data buffer scheme is per-formed. Force feedback and a virtual predictive display are introduced to enhance the real-time efficiency of tele-operation. The usefulness and effectiveness of the pro-posed method and system are proven by teleoperation experiments via the internet over a long distance.

关键词： teleoperation internet robots predictive con-trol delay algorithm

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Performance exploration on mission level using standardized architecture components

Performance exploration on mission level using standardized ...

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International Conference on Microelectronics, MIEL

作者： T. Baumann V. Zerbe Department of Systems and Control Theory Faculty of Computer Science and Automation Technical University Ilmenau Ilmenau Germany

The performance exploration (T. Baumann et al., 2007) is becoming more important in embedded system design like networked system on chip (NoC) design. Due to the rising complexity it is necessary to accomplished the performance analysis (T. Baumann et al., 2007) already in the early design stages. The model based mission level design supports exactly this approach (MLDesigner). An overall executable model can be achieved consisting of function, architecture/performance and mission models. Missions describe the environment and concrete use cases which makes an early execution and thus a validation of the system (V. Zerbe et al.) possible. In the paper the focus is directed toward the standardized architecture components and the performance exploration. Furthermore the concept is illustrated on an example of an ethernet based system.

关键词： Protocols computer architecture Ethernet networks ISO Open systems Virtual prototyping Physical layer TCPIP Microelectronics Embedded system

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Switching LPV control for the air path system of diesel engines

Switching LPV control for the air path system of diesel engi...

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Chinese control and Decision Conference, CCDC

作者： Lihua liu Xiukun Wei Zhidong Liu Department of Computer Science and Automation Beijing Institute of Machinery Beijing China Delft Center of Systems and Control Delft University of Technnology Delft Netherlands

This paper addresses the switching LPV techniques aiming to improve the control performance of a class of nonlinear systems that can be approximated by a family of linear parameter varying (LPV) models for the entire operation envelope. The proposed method provides a systematical strategy for the controller synthesis for such class system which can guarantee the global stability of the closed loop. The proposed method is further applied to the air path system of diesel engines which is critical for reducing the emissions. Due to its strong nonlinearity the working envelope of the air path system is divided into four subregions and in each subregion an LPV model is built. Accordingly, a gain scheduled LPV controller is synthesized for each nominal LPV model, the system is then regulated by hysteresis switching logic among a family of LPV controllers. The effectiveness of the proposed method is illustrated by simulations.

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