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2011 IEEE International Conference on Mechatronics and automation, ICMA 2011

作者： Su, Hu Xu, De Huang, Yanlong State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781424481149

Learning control has been an active topic of research for several decades, and is of theoretical, as well as practical, significance. Current theories and developments in learning control are discussed. Following a brief introduction of the state as well as new progress on learning control, we give a detail review on the models and algorithms of the control policies developed recently which proved to be advantageous over previous approaches through experimental results. The related results and properties are presented. Then, several potentially developmental topics that are valuable to be further investigated are suggested. Finally, the conclusion remark is proposed. © 2011 IEEE.

关键词： Learning algorithms

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A novel image deblurring method based on high-order MRF prior

A novel image deblurring method based on high-order MRF prio...

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Zhao, Bo Zhang, Wensheng State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781612843735

A novel image deblurring method based on high-order non-local range Markov Random Field (NLR-MRF) prior is proposed in the paper. NLR-MRF is an effective statistical framework to model prior knowledge of natural images which leads to excellent performance in some low-level vision problems. In our work, the framework is extended to image deblurring. To overcome some limitations of maximum a-posteriori (MAP) estimation, we adopt Bayesian minimum mean squared error (MMSE) estimation to perform deblurring. The high-order NLR-MRF prior can be easily integrated into this framework. Then, an efficient Gibbs sampling algorithm is employed to compute MMSE estimation. The proposed method frees the user from determining regularization parameter beforehand, which relies on unknown noise level. Our deblurring method shows superior or comparable results to the state-of-art deblurring methods. © 2011 IEEE.

关键词： Mean square error

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Adaptive control with Nearest-neighbor Previous Instant Compensation for Discrete-time Nonlinear Strict-feedback systems

Adaptive Control with Nearest-neighbor Previous Instant Comp...

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American control Conference

作者： Chenguang Yang Hongbin Ma Bin Xu Mengyin Fu School of Computing and Mathematics the University of Plymouth UK PL4 8AA Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China 100081 School of Automation Northwestern Polytechnical University Xi'an China 710072

ISBN: (纸本)9781457710957

Many nonlinear systems can be modeled by or converted to strict-feedback forms, whose stabilization problem without modeling uncertainties has been extensively discussed in the literature. However, in practice, inevitable modeling uncertainties, especially co-existence of parametric uncertainties and nonparametric uncertainties, will make it very difficult and challenging to achieve desirable control performance. In this background, we consider a challenging adaptive control problem, aiming at asymptotic tracking to any bounded reference signal, in the presence of periodic uncertainties of both parametric and nonparametric types, i.e., periodic time-varying parameters and periodic unknown time-delays in the uncertain nonlinearities, for a class of strict-feedback discrete-time nonlinear systems due to the lack of related research and the increasing demand of digital control in current epoch. To deal with the co-existing various uncertainties, which bring highly-nonlinear coupled effects to the closed-loop system, a novel nearest-neighbor previous instant compensation technique, combined with the lifting approach and the future states prediction, is introduced in this paper to asymptotically fully compensate the effects of uncertainties. With such elaborately constructed adaptive estimation mechanism, the developed discrete-time backstepping adaptive controller can guarantee the closed-loop stability as well as asymptotic output tracking, which have been rigorously established and testified by extensive simulations.

关键词： adaptive control Uncertainty asymptotic tracking discrete-time Nearest neighbor Reference signals Parametric instant control performance Numerical controls compensated

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The strategies of avoiding energy holes in wireless sensor networks

The strategies of avoiding energy holes in wireless sensor n...

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4th International Congress on Image and Signal Processing, CISP 2011

作者： Wang, Zhengjie Qian, Xu Zhao, Xiaoguang Beijing China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424493067

Wireless sensor networks are characterized by multihop network. Some nodes in network are required to forward a disproportionately high amount of traffic and die early, leaving the unmonitored areas in network and leading to the problem of energy hole. This paper investigates a variety of strategies to avoid the energy hole, such as communication power control, data aggregation, nonuniform energy distribution, mobile node auxiliary and clustering. The analysis and comparison of different strategies are given and the advantages and disadvantage of them are discussed in this paper. © 2011 IEEE.

关键词： Sensor nodes

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A new search strategy of radio fingerprint matching method in wireless sensor network

A new search strategy of radio fingerprint matching method i...

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1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

作者： Li, Hongchun Zhao, Xiaoguang Tan, Min Institute of Automation Chinese Academy of Sciences State Key Lab. of Intelligent Control and Management of Complex Systems Beijing China

ISBN: (纸本)9780769545813

Radio fingerprint matching localization method promises high localization accuracy but requires extensive infrastructural effort and search operations. This paper proposes a new search strategy for radio fingerprint matching method, which sharply reduces search operations and shows little effect on localization accuracy. Indoor experiment is conducted to evaluate our method. © 2011 IEEE.

关键词： Wireless sensor networks

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A closed-loop method to generate fast C-start for a robotic fish

A closed-loop method to generate fast C-start for a robotic ...

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2011 IEEE International Conference on Mechatronics and automation, ICMA 2011

作者： Su, Zongshuai Yu, Junzhi Tan, Min Zhang, Jianwei State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Informatics University of Hamburg Germany

ISBN: (纸本)9781424481149

This paper presents a novel closed-loop method for a multilink robotic fish to mimic the C-start maneuver, in which the turning speed and precision are emphasized. The turning speed is maximized by carefully designed preparatory stage, and the turning precision is achieved by the feedback of the turning angle from a gyroscope and a new design of the propulsive stage. Different types of C-starts are studied, due to the different sizes of caudal fins, in order to achieve the highest turning angular velocity. All the proposed types of C-starts are experimented and compared using a four-joint robotic fish. The experimental results show a fastest angular velocity up to 200°/s and the distinctions between all these different types. © 2011 IEEE.

关键词： Fish

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Adaptive generalized predictive decoupling control for a class of MIMO nonlinear systems based on unmodeled dynamic compensation

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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2012年第2期29卷 157-166页

作者： Zhang, Ya-Jun Chai, Tian-You Wang, Hong Niu, Hong The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang Liaoning 110004 China Research Center of Automation Northeastern University Shenyang Liaoning 110004 China The Control Systems Centre School of Electrical and Electronic Engineering University of Manchester M60 1QD United Kingdom Institute of System Science Northeastern University Shenyang Liaoning 110004 China

For a class of uncertain multi-input-multi-output (MIMO) discrete-time nonlinear systems with strong coupling and unstable zero-dynamics, an adaptive generalized predictive decoupling switching control method based on unmodeled dynamic compensation is proposed. It is only required that the higher order nonlinear terms of the system to satisfy a linear growth condition, rather than the global boundedness condition widely used. The analysis of stability and convergence of the adaptive control method are performed. Moreover, in designing the nonlinear generalized predictive decoupling controller, we combine the adaptive-network-based fuzzy inference system (ANFIS) training with the "one-toone mapping" technique to adaptively estimate the unmodeled dynamics, so that the universal approximation property of ANFIS can be guaranteed. Finally, simulation results demonstrate the superiority of the proposed method and validate the theoretical analysis.

关键词： Nonlinear systems

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Vulnerability analysis of power grid based on multi-agent complex systems

Vulnerability analysis of power grid based on multi-agent co...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Dong, Xisong Xiong, Gang Hou, Jiachen Dong, Fan Nyberg, Timo R. State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China BIT Research Centre Aalto University Aalto Finland

ISBN: (纸本)9781457705731

Modern power grid is a typical multi-level complex giant system. The conventional analytical methods based on reductionism can't provide sufficient guidance for its operation and management. complex system theory, based on holism, has its specific advantages in power grid's research. But, it has some limitations. In this article, we improve complex grid by introducing new parameters which can describe the grid's characters better and using multi-agent theory. As an application, the complex power grid constructed with actual data from North China grid is constructed and its vulnerability has been simulated and analyzed under different attacks. © 2011 IEEE.

关键词： complex networks

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Translational offset detection based on far-field intensity for grating tiling

Translational offset detection based on far-field intensity ...

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2011 IEEE International Conference on Mechatronics and automation, ICMA 2011

作者： Huang, Yanlong Fang, Zaojun Xu, De Tan, Min Xia, Lan State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Laboratory of Shanghai Institute of Laser and Plasma Chinese Academy of Engineering Physics Shanghai China

ISBN: (纸本)9781424481149

The far-field intensity is detected from far-field image to estimate the piston distance between two gratings. The image processing algorithm includes projections along the horizontal and vertical directions, search for each focal spot's centre, feature extraction and intensity computation. Each focal spot's centre can be found with the projections. A self-growing method is used for feature extraction, where the threshold value depends on the gray value of each focal spot's centre. For each focal spot, the sum of gray values within the relevant domain is taken to be its energy intensity. Furthermore, the energy ratio of left and main focal spots (or main and right focal spots) is computed. A formula that expresses the piston distance between two gratings as the function of the energy ratio is fitted with several measured points. Based on this formula, the piston distance is obtained for a new energy-ratio. Finally, the proposed method is verified with a series of experiments. © 2011 IEEE.

关键词： Image processing

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A class of uncertain chaotic systems using the fast terminal sliding mode control

A class of uncertain chaotic systems using the fast terminal...

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Chinese control Conference (CCC)

作者： Bai Yongqiang A Lata Li Xiaofang School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Institute of State 157 factory Chendu China

ISBN: (纸本)9781467325813

Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresponding sliding surface and controller are designed, which make the state variables of the system fast convergence to the equilibrium point in the limited time. And the examples are given to verify the feasibility of the system.

关键词： Sliding mode control Electronic mail Synchronization Chaotic communication Uncertainty Educational institutions

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