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International Conference on Image Analysis and Signal Processing, IASP

作者： Zhou Bin Wang Jun-Zheng Shen Wei Key Laboratory of Complex System Intelligent Control and Decision School of Automatic Control Beijing Institute of Technology Beijing China

A multi-bandwidth based tracking algorithm was proposed to search for the global kernel mode when the probability density has multiple peak modes. Firstly, a monotonically decreasing sequence of bandwidths was fixed according to the target scale. At each bandwidth, using mean shift to find out the maximum probability, and starting the next iteration at the previous convergence location. Finally, the best optimal mode could be obtained at the last bandwidth. To accelerate the convergence, over-relaxed strategy was introduced to enlarge the step size. Under the convergence rule, the learning rate was adaptively adjusted by Bhattacharyya coefficients of consecutive iteration convergence. The experimental results show that the proposed multi-bandwidth mean shift tracker is robust in high-speed object tracking, and perform well in occlusions. The adaptive over-relaxed strategy is effective to lower the convergence iterations by enlarging the step size.

关键词： Convergence Acceleration Resists Wet etching Integrated circuit technology Electron beams Electron optics Semiconductor process modeling Optical beams Optical device fabrication

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Robust Exponential Admissibility of Uncertain Switched Singular Time-delay systems

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自动化学报 2010年第12期36卷 1773-1779页

作者： LIN Jin-Xing FEI Shu-Min Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096P.R.China College of Automation Nanjing University of Posts and TelecommunicationsNanjing 210003P.R.China

This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rate-dependent Lyapunov function and the average dwell time approach, a delay-range-dependent sufficient condition is derived for the nominal system to be regular, impulse free, and exponentially stable. This condition is also extended to uncertain case. The obtained results provide a solution to one of the basic problems in continuous-time switched singular time-delay systems, that is, to identify a switching signal for which the switched singular time-delay system is regular, impulse free, and exponentially stable. Numerical examples are given to demonstrate the effectiveness of the obtained results.

关键词：自动化系统自动信息函数开关

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Dynamic weighted fusion of multi-source information for large rotating machinery fault prediction

Dynamic weighted fusion of multi-source information for larg...

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2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010

作者： Sun, Jianghong Zuo, Yunbo Xu, Xiaoli School of Electro Mechanical Engineering Beijing Information Science and Technology University Beijing China Beijing Institute of Technology School of Mechanical and Vehicular Engineering Beijing China Beijing Key Laboratory -Measurement and Control of Mechanical and Electrical System Beijing China

ISBN: (纸本)9780769540771

Data process of large rotating machinery is in line with basic features of information fusion. The fault deterioration is extracted from the pattern spectrum as the fault feature , and its trend is predicted by the information fusion which is based on the dynamic weighted method for single-sensor and multi-sensors respectively. Actual example of Beijing Yanshan Petrochemical Co. shows the correction of conclusion. © 2010 IEEE.

关键词： Information fusion

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Formation control based on Flocking Algorithm in Multi-agent system

Formation Control based on Flocking Algorithm in Multi-agent...

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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Hu Cao Jie Chen Yutian Mao Hao Fang Huagang Liu Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

This paper mainly addresses flocking control algorithm to implement the “boids” model of Reynolds among the formation control by nonholonomic multi-robots. Firstly, distributed flocking of multiple autonomous agents with double integrator dynamics is studied. The proposed flocking algorithm is a gradient-based protocol combined with a velocity consensus protocol. For the gradient-based term, smooth artificial potential functions which could cope with the problem of shape generation are devised for all the agents. Moreover, the proposed coordinated protocols are applied to the formation control of a team of nonholonomic mobile robots. Finally, simulations and experiments show that the proposed controllers ensure the group formation is stabilized to a desired shape, while all the robots’ velocities and directions converge to the same.

关键词： Protocols Computational modeling Robot kinematics Vehicle dynamics Mobile robots Stability analysis

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control of Spatially Interconnected systems with Random Communication Losses

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自动化学报 2010年第2期36卷 258-266页

作者： LI Hui WU Qing-He HUANG Huang School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing 100081 P.R. China

This paper deals with analysis and synthesis problems of spatially interconnected systems where communicated information may get lost between subsystems. Spatial shift operator and temporal forward shift operator are introduced to model the interconnected systems as discrete time-space multidimensional linear systems with Markovian jumping parameters which reflect the state of communication channels. To ensure the whole system＇s well-posedness and mean square stability for a given packet loss rate, a condition is derived through analysis. Then a procedure of designing distributed dynamic output feedback controllers is proposed. The controllers have the same structure as the plants and are solved within the linear matrix inequality （LMI） framework. Finally, we apply these results to study the effect of communication losses on the multiple vehicle platoon control system, which further illustrates the effectiveness of the proposed model and method.

关键词： Spatially interconnected system communication loss Markovian jump linear system linear matrix inequality （LMI）

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An information theoretic approach for design MIMO networked control systems

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7th International Symposium on Neural Networks, ISNN 2010

作者： Zhang, Jianhua Wang, Hong Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing 102206 China University of Manchester PO Box 88 Manchester M60 1QD United Kingdom

ISBN: (纸本)9783642129896

This paper presents a control system design strategy for multi-input and multi-output (MIMO) networked control systems with random delays. The performance index of the control systems is constructed by entropies of tracking error which can be estimated by Modha's density estimator via multi-layer perceptron (MLP). Finally, a simulation example is given to illustrate the efficiency and feasibility of the proposed approach. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Networked control systems

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Identification of Interval Models for a Class of Uncertain systems via Linear Programming

Identification of Interval Models for a Class of Uncertain S...

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American control Conference

作者： Guozhu Zhang Jie Chen Zhiping Li Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781424474264

The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing on the measured data of the plant, the interval model identification problem is transformed into several linear programming problems, which can be easily solved through various algorithms. We have proved that the resultant interval model has a known error bound, provided that certain conditions on the measured data are satisfied. To demonstrate its effectiveness, the proposed method is applied to identify the interval model of a servo system with variant load and inertia.

关键词： Identification Linear programming Uncertainty Interval model

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A Fast Averaging Synchronization Algorithm for Clock Oscillators in Nonlinear Dynamical Network with Arbitrary Time-delays

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自动化学报 2010年第6期36卷 873-880页

作者： CHEN Jie School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision of the Ministry of Education Beijing Institute of Technology Beijing 100081 P. R. China

This paper investigates the synchronization problem of clock oscillators in nonlinear dynamical network with arbitrary time-delays. First,a dynamic synchronization algorithm based on consensus control strategy, named fast averaging synchronization algorithm(FASA),is presented to find a solution to the synchronization problem. This algorithm can compensate the clock skew and offset differences between clock nodes, achieving the synchronization of clock nodes in a shorter time as compared to previous synchronization methods. Second, because of the dynamical performance of FASA,it is characterized from the perspective of compartmental dynamical system with arbitrary time-delays. In this case, the algorithm guarantees the states of all clock nodes in dynamical network converge to Lyapunov stable equilibria. Finally, numerical simulations and experimental results demonstrate the correctness and effciency of the FASA, which means that the clock nodes can reach global consensus, and the synchronization error can reach nanosecond order of magnitude

关键词：运算法则 FASA 振荡器自动化

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Forecasting next-day electricity prices with Hidden Markov Models

Forecasting next-day electricity prices with Hidden Markov M...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Jingyue Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

Next-day electricity prices forecasting is essential to consumers and producers. Due to the stochastic characteristics of the electricity price time series, a novel model of electricity price forecasting is presented based on the Hidden Markov Model (HMM). The factors impacting the electricity price forecasting are discussed. The proposed approach is utilized in an electricity market, the results show the effectiveness.

关键词： Hidden Markov models Economic forecasting Stochastic processes Predictive models Technology forecasting Energy consumption Power markets Support vector machines Probability distribution Laboratories

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Generalized predictive control for wind turbine systems

Generalized predictive control for wind turbine systems

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Hua Wang Guolian Hou Jinfang Zhang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424450459;9781424450466

It is difficult to deal with the variable speed constant frequency (VSCF) wind turbine systems due to the stochastic characteristics and the pneumatic effects of wind. In this paper, a new pitch controller based on generalized predictive control theory is designed to improve the power-output quality of variable speed constant frequency wind turbines. An application to a 300MW wind turbines is given, and simulation results show that the proposed method is effective in wind speed interference suppression and constant out power.

关键词： Predictive control Wind turbines Mathematical model Wind speed Power system modeling Rotors Shafts Wind power generation Frequency Wind energy generation

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