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第三十二届中国控制会议

作者： Xiongjun Wu Ziyang Meng The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China ACCESS Linnaeus Centre School of Electrical EngineeringRoyal Institute of Technology

ISBN: (纸本)9781479900305

A multiple anti-windup loops under multiple dynamic activations strategy is proposed to enlarge the domain of attraction. This work is parallel to the multiple activation case with static *** traditional anti-windup compensator is activated immediately as the saturation *** was shown recently that,by delaying the activation of the anti-windup mechanism to a certain level,the performance can be improved for the closed-loop *** was further shown that better performance can be obtained by activating an anti-windup mechanism in anticipation of actuator saturation,in comparison with the delayed activation *** paper considers the anti-windup design problem of enlarging domain of attraction under a dynamic multiple activation *** this multiple activation scheme,the anticipatory,delayed and immediate activation mechanism is incorporated in the same framework simultaneously.A furthermore significant performance improvements over both the immediate and delayed activation schemes can be *** proposed dynamic multiple activation scheme established a unified anti-windup framework and can be readily extended to the traditional immediate,delayed and anticipatory activation anti-windup mechanisms.

关键词： Anti-windup dynamic compensator domain of attraction multiple activations

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Multiple Anti-windup Loops under Multiple Static Activations:Enlargement of the Domain of Attraction

Multiple Anti-windup Loops under Multiple Static Activations...

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第三十二届中国控制会议

ISBN: (纸本)9781479900305

Anti-windup design is an intuitive and efficient way to deal with input saturation *** the classic antiwindup design,the compensator is set to be activated immediately as the control signal saturates the *** important innovation in the anti-windup activation mechanism is to delay the activation of the anti-windup mechanism until the saturation reaches to a certain severity which led to a performance improvement of the resulting closed-loop *** recently,it was shown that by activating a static anti-windup mechanism in anticipation of actuator saturation,significant further performance improvements can be achieved in comparison with the delayed activation *** addition,we have combined both the delayed and anticipatory activation mechanisms,to develop the multiple activation strategy,in terms of(?) gain *** paper furthermore considers the problem of enlarging domain of attraction and demonstrates that the multiple activation of a static multiple feedback anti-windup mechanism would also lead to significant performance improvements over both the immediate and delayed activation schemes.

关键词： Actuator saturation anti-windup anticipatory activation domain of attraction multiple activation

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Stability analysis for discrete linear systems with state saturation by a saturation-dependent Lyapunov functional

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控制理论与应用（英文版） 2012年第4期10卷 539-542页

作者： Xiaofu JI Mingwei REN Hongye SU Jinfeng GAO School of Electrical and Information Engineering Jiangsu University National Key Laboratory of Industrial Control Technology Institute of Cyber-systems and ControlZhejiang University Institute of Automation Zhejiang Sci-Tech University

This paper concerns the stability analysis problem of discrete linear systems with state saturation using a saturation-dependent Lyapunov functional. We introduce a free matrix characterized by the sum of the absolute value of each elements for each row less than 1, which makes the state with saturation constraint reside in a convex polyhedron. A saturation-dependent Lyapunov functional is then designed to obtain a sufficient condition for such systems to be globally asymptotically stable. Based on this stability criterion, the state feedback control law synthesis problem is also studied. The obtained results are formulated in terms of bilinear matrix inequalities that can be solved by the presented iterative linear matrix ineoualitv algorithm. Two numerical examoles are used to demonstrate the effectiveness of the nronosed method_

关键词： Discrete linear systems State saturation Saturation-dependent Iterative linear matrix inequality

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Soft-sensing Design Based on Semiclosed-loop Framework

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Chinese Journal of Chemical Engineering 2012年第6期20卷 1213-1218页

作者：汤奇峰李德伟席裕庚尹德斌 Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education Shanghai Xinhua Control Technology (Group) Co. Ltd

Soft-sensing is widely used in industrial applications. The traditional soft-sensing structure is open-loop without correction mechanism. If the working condition is changed or there is unknown disturbance, the forecast result of soft-sensing model may be incorrect. In order to obtain accurate values, it is necessary to carry out online correction. In this paper, a semiclosed-loop framework (SLF) is proposed to establish a soft-sensing approach, which estimates the input variables in the next moment by a prediction model and calibrates the output variables by a compensation model. The experimental results show that the proposed method has better prediction accuracy and robustness than other open-loop models.

关键词： soft-sensing neural network semiclosed-loop framework

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The extended co-learning framework for robust object tracking

The extended co-learning framework for robust object trackin...

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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012

作者： Gong, Chen Liu, Yang Li, Tianyu Yang, Jie He, Xiangjian Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai China Faculty of Engineering and Information Technology University of Technology Sydney PO Box 123 Sydney NSW Australia

ISBN: (纸本)9781467316590

Recently, object tracking has been widely studied as a binary classification problem. Semi-supervised learning is particularly suitable for improving classification accuracy when large quantities of unlabeled samples are generated (just like tracking procedure). The purpose of this paper is to fulfill robust and stable tracking by using collaborative learning, which belongs to the scope of semi-supervised learning, among three classifiers. Different from [1], random fern classifier is incorporated to deal with 2bitBP feature newly added and certain constraints are specially implemented in our framework. Besides, the way for selecting positive samples is also altered by us in order to achieve more stable tracking. Algorithm proposed in this paper is validated by tracking pedestrian and cup under occlusion. Experiments and comparison show that our algorithm can avoid drifting problem to some degree and make tracking result more robust and adaptive. © 2012 IEEE.

关键词： Supervised learning

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Design of multiple anti-windup loops for multiple activations

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Science China(information Sciences) 2012年第9期55卷 1925-1934页

作者： WU XiongJun 1,2 & LIN Zongli 3,1 1 Department of automation,Shanghai Jiao Tong University,and key laboratory of System control and information processing,Ministry of Education of China,Shanghai 200240,China 2 No.802 Institute of Shanghai Academy of Space Flight technology,the Eighth Academy of China Aerospace Science and technology Corporation,Shanghai 200090,China 3 Charles L.Brown Department of Electrical and Computer Engineering,University of Virginia,P.O.Box 400743,Charlottesville,VA 22904-4743,USA 1. Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China2. No. 802 Institute of Shanghai Academy of Space Flight Technology the Eighth Academy of China Aerospace Science and Technology Corporation Shanghai 200090 China3. Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

This paper considers anti-windup design for linear systems subject to actuator *** anti-windup gains are designed for activations immediately at the occurrence actuator saturation,after the saturation has reached a certain level and in anticipation of the occurrence of saturation,*** design is based on the minimization of L 2 gain from the disturbance to the controlled output of the resulting closed-loop *** anti-windup scheme involves a single anti-windup loop for immediate activation.A recent innovation is to design a single anti-windup loop for delayed or anticipatory activation,as well as to design two anti-windup gains,one for immediate activation and one for delayed *** design of three anti-windup gains for three different activations is shown through simulation to lead to significant further performance improvement over the previous activation schemes.

关键词： actuator saturation anti-windup anticipatory activation delayed activation L 2 gain nonlinear control

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Distributed multi-agent Q-learning for joint channel allocation and power control in cognitive radio networks

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Journal of Computational information Systems 2012年第17期8卷 7071-7078页

作者： Boumediene, Latifa Gao, Zhenguo Liu, Sheng College of Automation Harbin Engineering University Harbin 150001 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China

This paper deals with the resource allocation in completely distributed cognitive radio network. We propose a form of real-time multi-agent distributed reinforcement learning, which is known as Q-learning, to allow the cognitive radio to predict its transmit power and channel, in order for achieving a high quality of service without affecting the primary users. Simulation results reveal that the proposed approach is able to significantly reduce the interference to the licensed users while maintaining a high probability of successful transmission in a cognitive radio ad-hoc network. © 2012 Binary information Press.

关键词： Cognitive radio

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Distributed Filtering Basing Consensus for the Local Strongly Coupled Systems

Distributed Filtering Basing Consensus for the Local Strongl...

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World Congress on Intelligent control and automation

作者： Yunze Cai Hua O. Wang Xiaoming Xu Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Mechanical Engineering Boston University Department of Automation Shanghai Jiao Tong University and the University of Shanghai for Science and Technology

ISBN: (纸本)9781467313971

The interactions between subsystems are important for large-scale systems. We introduce a local strongly coupled system which coupled by random communication between subsystems. Due to the intermittent communication, it is difficult to apply the standard Kalman or robust filter to design procedures to such systems. In this paper, we addressed the distributed robust filter design method for this kind of system based on the consensus idea. The main result is a sufficient condition which guarantees a suboptimal level of disagreement of estimates in a coupled network of estimators. The condition is formulated in terms of feasibility of biaffine matrix inequalities (BMIs). The generic algorithm is used to treat the bilinear relation between filter parameters and the interconnection gains. The proposed approach is applied to the problem of formation-based robust synchronization. The numerical simulations show the effectiveness of the proposed filtering method.

关键词： Distributed Filtering Local Strongly Coupled Systems Consensus Estimation

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Adaptive Variable Selection Using Nonnegative Garrote with Application to Soft Sensor and Fault Detection

Adaptive Variable Selection Using Nonnegative Garrote with A...

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第23届过程控制会议

作者： Jian-guo Wang Chang-Chun Pan Shi-Shang Jang David Shan-Hill Wong Shyan-Shu Shieh Chan-Wei Wu School of Mechatronical Engineering and Automation Shanghai University and Shanghai Key Labof Power Station Automation Technology Shanghai 200072 China Department of Automation and Key Laboratory of System Control and Information Processing Ministry ofEducation of China Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Hsin-Chu 30013 Taiwan Department of Occupational Safety and Hygiene Chang Jung University Tainan 71101 Taiwan Energy & Air Pollution Control Section New Materials R&D Dept. China Steel Corporation Kaohsiung 81233 Taiwan

ring normal operations, response or quality variables of a process will follow a input-output relation that depend on certain key sensor variables. A soft-sensor with limited model size can be developed. When the process enters into a “faulty” state, the structure, of this model may change. Moreover, disturbance that is not reflected by sensor outputs may also be present. In this paper, we introduce a recursive soft-sensor modeling algorithm which employs a nonnegative garrote (NNG) variable selection procedure. This model can be used for both prediction, and detection of structural model change and the emergence of disturbance. The advantages of the proposed method were demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： NNG(nonnegative garrote) Soft sensor Fault detection

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Adaptive variable selection using non-negative garrote with application to soft sensor and fault detection

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and technology 2012年第SUPPL.2期36卷 82-86页

作者： Wang, Jian-Guo Guo, Yong Ma, Shi-Wei Pan, Chang-Chun Jang, Shi-Shang Wong, David Shan-Hill School of Mechatronical Engineering and Automation Shanghai Key Lab. of Power Station Automation Technology Shanghai University Shanghai 200072 China Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai 200240 China Department of Chemical Engineering National Tsing-Hua University Taiwan 30013 Taiwan

In order to improve the function of soft sensor to conduct variable selection, fault detection and model structure identification in the case of faulty state, a design method of new soft sensor is studied though the variable selection algorithm. A non-stationary time serial is introduced to describe the process output not being reflected by sensor variables and to detect whether the process enters the faulty state. A non-negative garrote method is adopted to identify the model structure and a modeling method for new soft sensors is presented. The obtained model can be used for both prediction, and detection of structural model change and the emergence of disturbance. Compared with the ordinary soft sensor based on partial least square algorithm, the advantages of the proposed method are demonstrated by a simulation example and an industrial application to temperature prediction of a blast furnace hearth.

关键词： Fault detection

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