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第三十二届中国控制会议

作者： LI Li'an CHEN Cailian LIN Feilong GUAN Xinping Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781479900305

In the cognitive radio(CR) network,the secondary user(SU) are allowed to utilize the frequency channels of the licensees primary user(PU) when these channels are not currently being *** support spectrum reuse functionality,the SU are required to sense the channel to detect the PU activity accurately for each time *** are two parameters associated with spectrum sensing:probability of detection and probability of false *** the probability of detection,the long sensing time reduce the false alarm probability,however the left time used for transmission is *** is a trade off between the sensing cost and successful transmission *** we combined the PU activity property with the discounted utility of the SU,how to improve the SU utility under the unreliable spectrum sensing situation is still a challenge problem and rarely be *** this paper we propose a new optimal dynamic sensing policy,called sleep-sensing-transmission strategy based on partially observable Markov Decision Process(POMDP).At the beginning of each slot,the SU can choose three different possible actions:Sleep,spectrum sensing and then access the channel based on the sensing result or directly transmission to maximize the expected discounted utility in the long *** this model we have shown that the optimal strategy has a simple threshold structure,and the simulation result validate the efficiency of our policy compared with the traditional spectrum sensing and access mechanism.

关键词： Cognitive Radio network Spectrum sensing POMDP Threshold policy

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Quantum Hamiltonian Identification from Measurement Time Traces

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Physical Review Letters 2014年第8期113卷 080401-080401页

作者： Jun Zhang Mohan Sarovar Joint Institute of UM-SJTU and Key Laboratory of System Control and Information Processing (MOE) Shanghai Jiao Tong University Shanghai 200240 China Department of Scalable and Secure Systems Research (08961) Sandia National Laboratories Livermore California 94550 USA

Precise identification of parameters governing quantum processes is a critical task for quantum information and communication technologies. In this Letter, we consider a setting where system evolution is determined by a parametrized Hamiltonian, and the task is to estimate these parameters from temporal records of a restricted set of system observables (time traces). Based on the notion of system realization from linear systems theory, we develop a constructive algorithm that provides estimates of the unknown parameters directly from these time traces. We illustrate the algorithm and its robustness to measurement noise by applying it to a one-dimensional spin chain model with variable couplings.

关键词： Hamiltonians

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Improved Deformable Part Model For Object Detection Based on Scale Invariant Feature Transform

Improved Deformable Part Model For Object Detection Based on...

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第25届中国控制与决策会议

作者： Jianfang Dou Jianxun Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781467355339

We propose an approach to improving the detection results of a generic offline trained detector on frames from a specific video. For two consecutive frames of a video with the object, deformable part model（DPM） detection is perform to get the original detections. Then respectively obtain the image patches corresponding to the detected root box and part boxes. Thirdly, extract scale invariant feature transform features（SIFT） from those image patches and match the sift features by KD-Tree. Finally, get the SIFTPM detection result of from the matches between image patches of continuous frames. We focus on methods with high precision detection results since it is necessitated in real application. Extensive experiments with state-of-the-art detector demonstrate the efficacy of our approach..

关键词： object detection deformable part model scale invariant feature transform KD-Tree.

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Distributed sequential estimation algorithm for steel temperature in hot strip mill

Distributed sequential estimation algorithm for steel temper...

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第三十二届中国控制会议

作者： LI Wenshuang CHEN Cailian ZHU Shanying Li Li'an GUAN Xinping Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781479900305

This paper is concerned with the steel temperature estimation problem in hot strip mill. We focus on the steel bar temperature estimation during the rough rolling process with the aid of industrial wireless network for its high reliability communication and low power consumptions. However, the mobility of the steel bar and the complexity of the industrial environments have posed new challenges for the temperature monitoring. According to the steel bar's mobility, we propose a distributed sequential estimation algorithm to realize the continuous temperature tracking and gradually remove the estimation error. It consists of a cluster-based estimation algorithm and an initialized fusion algorithm, whose design are based on two criteria, namely, unbiasedness and optimality. Finally, simulation studies are presented to validate the performance of the proposed algorithm.

关键词： Distributed sequential estimation, steel bar, temperature monitoring

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A Novel Robust MM Filter for Target Tracking with Glints

A Novel Robust MM Filter for Target Tracking with Glints

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第三十二届中国控制会议

作者： LIU Yong LIANG Yan PAN Quan School of Automation Northwestern Polytechnical University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781479900305

Interacting Multiple Model(IMM) filter faces significant outlier-caused *** this paper,the Bayesian probability update in IMM is found equivalent to Dempster's Rule of Combination which cannot handle evidence conflicts caused by ***,a novel robust MM(RMM) filter is proposed through introducing expert rules about mode evolvement and presenting the Likelihood Temporal Ratio(LTR) and building the Induced Combination Rule(ICR).Simulations about target tracking show the effectiveness of the proposed method.

关键词： Interacting Multiple Model Robust Filter Outlier Dempster-Shafer Theory Non-Gaussian Noise

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Multi-Objective Load Distribution Optimization for Hot Strip Mills

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Journal of Iron and Steel Research International 2013年第2期20卷 27-32,61页

作者： JIA Shu-jin LI Wei-gang LIU Xiang-hua DU Bin Department of Automation and Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Automation Division of Research Institute Baosteel Group Corporation College of Information Science and Engineering Northeastern University Research Institute of Science and Technology Northeastern University

Load distribution is a key technology in hot strip rolling process, which directly influences strip product quality. A multi-objective load distribution model, which takes into account the rolling force margin balance, roll wear ratio and strip shape control, is presented. To avoid the selection of weight coefficients encountered in single objective optimization, a multi-objective differential evolutionary algorithm, called MaximinDE, is proposed to solve this model. The experimental results based on practical production data indicate that MaximinDE can obtain a good pareto-optimal solution set, which consists of a series of alternative solutions to load distribution. Decision-makers can select a trade-off solution from the pareto-optimal solution set based on their experience or the importance of ob- iectives. In comparison with the empirical load distribution solution, the trade-off solution can achieve a better per- formance, which demonstrates the effectiveness of the multi-objective load distribution optimization. Moreover, the conflicting relationship among different objectives can be also found, which is another advantage of multi-objective load distribution optimization.

关键词： hot strip mill load distribution multi-objective optimization

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On Infinite Time Performance of Nonlinear Model Predictive controllers

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IFAC Proceedings Volumes 2014年第3期47卷 1916-1921页

作者： Xin Cai Shaoyuan Li Ning Li Kang Li Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 P. R. China School of Electronics Electrical Engineering and Computer Science The Queen's University Belfast Belfast BT7 1NN UK

This paper addresses the problem of infinite time performance of model predictive controllers applied to constrained nonlinear systems. The total performance is compared with a finite horizon optimal cost to reveal performance limits of closed-loop model predictive control systems. Based on the Principle of Optimality, an upper and a lower bound of the ratio between the total performance and the finite horizon optimal cost are obtained explicitly expressed by the optimization horizon. The results also illustrate, from viewpoint of performance, how model predictive controllers approaches to infinite optimal controllers as the optimization horizon increases.

关键词： Model Predictive control Finite Horizon Optimal control Value Iteration Principle of Optimality

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Performance Evaluation Approach for Image Mosaicing Algorithm

Performance Evaluation Approach for Image Mosaicing Algorith...

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第25届中国控制与决策会议

作者： Zhang Weibo Li Jianxun Zhang Zhi Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing M inistry of Education of China

ISBN: (纸本)9781467355339

In order to evaluate performance of any image mosaic algorithm objectively, a complete evaluation indicators system is constructed in this paper based on reference panoramas or non-reference panoramas. The involved indicators reflect human visual effect, image registration accuracy and image fusion effect. Then the formula of registration error (RE) is improved from TRE. M eanwhile, a blind evaluation approach related on the indicators system is proposed to avoid any manual interventions and to keep the computational simplicity. Exhaustive tests show that the proposed approach can reflect performance of image mosaic algorithm comprehensively and the result of experiment is consistent with subjective evaluation.

关键词： Image mosaicing, indicators system, registration error, mutual information, reference panorama

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Semi-Global Output Consensus of Linear Agents with External Disturbances and Actuator Saturation:An Output Regulation Approach

Semi-Global Output Consensus of Linear Agents with External ...

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第三十三届中国控制会议

作者： Zhiyun Zhao Yiguang Hong Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences Charles L. Brown Department of Electrical and Computer Engineering University of VirginiaP.O. Box 400743Charlottesville VA 22904-4743 U.S.A.

This paper studies semi-global leader-following output consensus of a multi-agent system. Each follower agent in the system, described by a general linear system subject to external disturbances and actuator saturation, is to track the leader agent. Conditions on the agent dynamics are identified under which a low gain feedback based linear state control algorithm is constructed for each follower agent such that the leader-following output consensus is achieved when the communication topology among the agents is a directed graph that contains no loop and the leader is globally reachable. In addition, discussions and simulations are also provided for the output consensus in the presence of actuator saturation.

关键词： Leader-following output consensus,low gain feedback,multi-agent systems,actuator saturation

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Finite-time consensus of leader-follower multi-agent systems with fixed and switching topologies

Finite-time consensus of leader-follower multi-agent systems...

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World Congress on Intelligent control and automation (WCICA)

作者： Yakun Zhu Cailian Chen Xinping Guan Xiaoyuan Luo School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao P. R. China Department of Automation Key Laboratory of System Control and Information Processing Shanghai P. R. China Institute of Electrical Engineering Yanshan University Qinhuangdao P. R. China

This paper proposes a novel nonlinear distributed consensus protocol of the finite-time consensus problems of leader-follower multi-agent systems based on the distributed consensus error functions. It is proved that the leader-follower multi-agent systems under this nonlinear protocol can reach the consensus in finite time in the scenarios with fixed topology and two kinds of switching topologies, respectively. The results are also extended to the case with directed communication topology. Finally, some examples and simulation results are given to illustrate the effectiveness of the proposed control protocols.

关键词： Topology Switches Protocols Multi-agent systems Network topology Vehicle dynamics Educational institutions

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