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World Congress on Intelligent control and Automation (WCICA)

作者： Zhiyun Zhao Zongli Lin Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a general linear system subject to simultaneous actuator position and rate saturation. We construct a low gain based linear state feedback control law for each follower agent and show that semi-global leader-following consensus can be achieved by using these control laws when the communication topology among follower agents is a connected undirected graph and the leader is a neighbor of at least one follower. Simulation results illustrate the theoretical results.

关键词： Actuators State feedback Topology Linear systems Multi-agent systems Closed loop systems Vectors

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Non-fragile Observer Design for Fractional-order One-sided Lipschitz Nonlinear systems

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International Journal of Automation and computing 2013年第4期10卷 296-302页

作者： Yong-Hong Lan Wen-Jie Li Yan Zhou Yi-Ping Luo School of Information Engineering Xiangtan University Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Institute of Intelligent Control Hunan Institute of Engineering

This paper is concerned with the problem of the full-order observer design for a class of fractional-order Lipschitz nonlinear systems. By introducing a continuous frequency distributed equivalent model and using an indirect Lyapunov approach, the sufficient condition for asymptotic stability of the full-order observer error dynamic system is presented. The stability condition is obtained in terms of LMI, which is less conservative than the existing one. A numerical example demonstrates the validity of this approach.

关键词： Fractional-order nonlinear system observer design indirect Lyapunov approach linear matrix inequality （LMI）.

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Sampling-based learning control for quantum discrimination and ensemble classification

Sampling-based learning control for quantum discrimination a...

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International Joint Conference on Neural Networks

作者： Chunlin Chen Daoyi Dong Bo Qi Ian R. Petersen Herschel Rabitz Department of Control and System Engineering Nanjing University School of Engineering and Information Technology University of New South Wales Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Department of Chemistry Princeton University

ISBN: (纸本)9781479914821

Quantum ensemble classification has significant applications in discrimination of atoms (or molecules), separation of isotopic molecules and quantum information extraction. In this paper, we recast quantum ensemble classification as a supervised quantum learning problem. A systematic classification methodology is presented by using a sampling-based learning control (SLC) approach for quantum discrimination. The classification task is accomplished via simultaneously steering members belonging to different classes to their corresponding target states (e.g., mutually orthogonal states). Numerical results demonstrate the effectiveness of the proposed approach for the discrimination of two quantum systems and the binary classification of two-level quantum ensembles.

关键词： Ensemble classification Quantum discrimination Inhomogeneous ensembles Sampling-based learning control

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Traffic light Time adjustment based on Interval type-2 fuzzy sets

Traffic light Time adjustment based on Interval type-2 fuzzy...

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2014 International Conference on Informative and Cybernetics for Computational Social systems(ICCSS2014)

作者： Zhen Gao Feng Hua Zhu Hong Mo College of Electrical and Information Engineering Changsha University of Science and Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

According to the actual circumstance of the intersection,reasonably adjusting traffic light time can help to ease traffic pressure and save transportation *** this paper,Interval type-2 fuzzy sets and matched-degree are applied to the time of intersection signal adjusting,and five words are used to cover the range of adjusting lights’time,finally according to the average number of stranded vehicles,a query table is built to inquire and control the signal time during a certain period.

关键词： Interval type-2 fuzzy sets footprint of uncertainty computing with words traffic light time

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Leader-Following Output Consensus in a Network of Linear Agents with Communication Noises

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IFAC Proceedings Volumes 2014年第3期47卷 1825-1830页

作者： Yunpeng Wang Long Cheng Zeng-Guang Hou Min Tan Ming Wang State Key Laboratory of Management and Control for Complex Systems (SKLMCCS) Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Information and Electrical Engineering Shangdong Jianzhu University Jinan 250101 China

The leader-following output consensus problem of multi-agent systems (MAS) is studied in this paper. Each agent is modeled by a single-input single-output (SISO) system which can be further described by a controllable and observable linear state space model. An observer is constructed to estimate the agent's state, and the estimated state is shared with neighbor agents via the noisy communication channels. Similar to the previous work, in the proposed protocol a time-varying gain is employed to attenuate the noise's effect. However, in this paper, each agent is allowed to have its own time-varying gain. Some sufficient conditions on the time-varying gain are given for ensuring the consensus in the mean square sense. Finally, a simulation example is presented to verify the theoretical results.

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The Fusion of Multisensor Images with Multi-resolutions

The Fusion of Multisensor Images with Multi-resolutions

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第三十三届中国控制会议

作者： Liping Yan Bo Xiao Yuanqing Xia Meiling Wang Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781479947249

Images taken by different sensors at different time instant with different resolutions are formulated by state space models, and are fused by use of Multiscale Kalman Filter(MKF). The effectiveness of the presented algorithm is shown by comparing it with the wavelet based method through experiments, where four performance measures are used. The performance evaluation indices are the root mean square errors(RMSE), the information entropy(Entropy), the space frequency(SF) and the space visibility(SV). Theretical analysis and experimental results show the effectiveness of the presented algorithm.

关键词： Image fusion,multiresolution,multiscale Kalman filter,state space model

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Sequential Fusion and State Estimation for Asynchronous Multirate Multisensor Dynamic systems

Sequential Fusion and State Estimation for Asynchronous Mult...

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第三十三届中国控制会议

作者： Lu Jiang Liping Yan Bo Xiao Yuanqing Xia Mengyin Fu School of Automation Key Laboratory of Intelligent Control and Decision of Complex SystemsBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this *** dynamic system at the finest scale is *** are multiple sensors observing a single target independently with different sampling rates,and the observations are obtained *** present algorithm is shown to be more effective and efficient than the existed *** on a radar tracking system with three sensors are done and show the effectiveness of the present algorithm.

关键词： state estimation,sequential fusion,asynchronous,multirate multisensor,Kalman filter

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Interventions of traffic flow for Intersection Based on Interval type-2 fuzzy sets

Interventions of traffic flow for Intersection Based on Inte...

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2014 International Conference on Informative and Cybernetics for Computational Social systems(ICCSS2014)

作者： Xuan Li Hong Mo Feng Hua Zhu College Of Electrical And Information Engineering Changsha University Of Science And Technology State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

Assessment and analysis of the intersection status can help to make the right choice of interventions,it’s can bring convenience to solve the traffic *** this paper,interval type-2 fuzzy sets is applied in the analysis of the intersection state and congestion intervention,dynamic fuzzy comprehensive evaluation and footprint of uncertainty are used to assess the intersection *** with the example of intersection congestion,through corresponding intervention measures to improve the intersections crowded *** the linguistic dynamic orbits of road status figured out.

关键词： interval type-2 fuzzy sets footprint of uncertainty intervention measures linguistic dynamic orbits

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Time Critical Disinformation Influence Minimization in Online Social Networks

Time Critical Disinformation Influence Minimization in Onlin...

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IEEE Joint Intelligence and Security Informatics Conference (JISIC)

作者： Chuan Luo Kainan Cui Xiaolong Zheng Daniel Zeng State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China The School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China Department of Management Information Systems University of Arizona Tucson USA

If a piece of disinformation released from a terrorist organization propagates on Twitter and this adversarial campaign is detected after a while, how emergence responders can wisely choose a set of source users to start the counter campaign to minimize the disruptive influence of disinformation in a short time? This practical problem is challenging and critical for authorities to make online social networks a more trustworthy source of information. In this work, we propose to study the time critical disinformation influence minimization problem in online social networks based on a continuous-time multiple campaign diffusion model. We show that the complexity of this optimization problem is NP-hard and provide a provable guaranteed approximation algorithm for this problem by proving several critical properties of the objective function. Experimental results on a sample of real online social network show that the proposed approximation algorithm outperforms various heuristics and the transmission temporal dynamics knowledge is vital for selecting the counter campaign source users, especially when the time window is small.

关键词： Radiation detectors Social network services Greedy algorithms Optimization Linear programming information processing Minimization

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Monocular Camera and IMU Integration for Indoor Position Estimation

Monocular Camera and IMU Integration for Indoor Position Est...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Yinlong Zhang Jindong Tan Ziming Zeng Wei Liang Ye Xia Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Information and Control Engineering Faculty Shenyang Jianzhu University

ISBN: (纸本)9781424479276

This paper presents a monocular camera (MC) and inertial measurement unit (IMU) integrated approach for indoor position estimation. Unlike the traditional estimation methods, we fix the monocular camera downward to the floor and collect successive frames where textures are orderly distributed and feature points robustly detected, rather than using forward oriented camera in sampling unknown and disordered scenes with pre-determined frame rate and autofocus metric scale. Meanwhile, camera adopts the constant metric scale and adaptive frame rate determined by IMU data. Furthermore, the corresponding distinctive image feature point matching approaches are employed for visual localizing, i.e., optical flow for fast motion mode;Canny Edge Detector & Harris Feature Point Detector & Sift Descriptor for slow motion mode. For superfast motion and abrupt rotation where images from camera are blurred and unusable, the Extended Kalman Filter is exploited to estimate IMU outputs and to derive the corresponding trajectory. Experimental results validate that our proposed method is effective and accurate in indoor positioning. Since our system is computationally efficient and in compact size, it's well suited for visually impaired people indoor navigation and wheelchaired people indoor localization.

关键词： Cameras Feature extraction Estimation Acceleration Trajectory Navigation Vectors

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