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Active leader tracking control of multi-agent systems with quantized measurements

Active leader tracking control of multi-agent systems with q...

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作者： Hu, Jiangping Hong, Yiguang Feng, Gang School of Automation Engineering University of Electronic Science and Technology of China Chengdu 610054 China Key Lab. of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China Department of MEEM University of Hong Kong Kowloon Hong Kong

ISBN: (纸本)9787894631046

This paper discusses tracking control problem with a discrete-time multi-agent system with active leader and quantized communication constraints. For the active leader in a general linear form, we give a distributed design for each discrete-time agent in the leader tracking control problem and analyze the tracking convergence with the help of Riccati equation and common Lyapunov function when the communication channel is perfect. Then a stochastic quantization strategy is applied to model the information transmission in the agent coordination and the corresponding solution is also given, even if the interconnection topology is switching.

关键词： Time varying networks

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Intelligent surveillance system based on network camera

Intelligent surveillance system based on network camera

引用

Joint 5th International Conference on Soft Computing and Intelligent systems and 11th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2010

作者： Kim, Jong Sun Yeom, Dong Hae Park, Jin Bae Joo, Young Hoon School of Control Robot and Systems Engineering Kunsan National University Kunsan Chonbuk 537-701 Korea Republic of PostBK21 Nourishment of Human Resource for Embedded System Kunsan National University Kunsan Chonbuk 573-701 Korea Republic of Department of Electrical and Electronic Engineering Yonsei University Seoul 120-749 Korea Republic of

In this paper, we propose the intelligent surveillance system using network cameras. To do this, we use two Internet Protocol (IP) cameras, which are installed at the inside and the outside of the restricted area. First of all, the external camera is used to monitor a potential intruder entering the restricted area in real time. To detect the potential intruder from sequential images obtained by external IP camera, we propose the robust algorithm combining the background modeling, the hybrid silhouette, the convex summation, the morphology and the smoothing. Once the intruder is detected by the external camera, the internal camera with pan-tilt mechanism is then activated and starts tracking the intruder and monitoring the prescribed valuables registered with some feature points in the database. To track the intruder, we propose the tracking algorithm using the background elimination and the histogram. And then, we completes the proposed surveillance system by using the Scale Invariant Feature Transform (SIFT) algorithm in order to monitor whether the intruder steals the prescribed valuables or not. Finally, we have shown the effectiveness and the applicability of the proposed method through experiments.

关键词： Internet protocols

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A methodology for power quality evaluation in distribution network with distributed generation

A methodology for power quality evaluation in distribution n...

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2010 5th International Conference on Critical Infrastructure, CRIS 2010

作者： Li, Gengyin Zhang, Zhe Li, Xiang Wang, Song Zhou, Ming Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Ministry of Education North China Electric Power University Changping 102206 Beijing China Department of Electrical Engineering Tsinghua University Haidian 100084 Beijing China School of Electrical and Electronic Engineering North China Electric Power University Changping 102206 Beijing China

ISBN: (纸本)9781424480814

The issue of power quality in the distribution system is always in sense of the concern. With the high penetration of distributed generation (DG) currently, it tends to be more complicated. This paper presents a new approach to evaluate impacts of the DG on power quality of the distribution network. In the process an objective function will be modeled, which will be solved by the optimization toolbox, in order to calculate the result for the evaluating grade. Furthermore, the results of the overall evaluation will be given via the eigenvalue weighted method. The power quality ranking of each feeder with the distributed generators in the distribution network will be apparent with the given weight of influence caused by DGs divided in forms of energy resource. © 2010 IEEE.

关键词： Power quality

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On decentralized adaptive pinning synchronization of complex dynamical networks

On decentralized adaptive pinning synchronization of complex...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Housheng Su Xiaofan Wang Zhihai Rong Guanrong Chen Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Automation Donghua Uinversity Shanghai China Department of Automation Shanghai Jiaotong University Shanghai China Department of Electronic Engineering City University of Hong Kong Hong Kong China

In this paper, we propose a decentralized adaptive pinning control scheme for synchronization of undirected networks using a local adaptive strategy to determine both coupling strengths and feedback gains. By applying this local adaptive strategy, we show that the network can achieve synchronization with small coupling strengths and feedback gains. We provide some simulations to verify and illustrate the theoretical results.

关键词： Programmable control Adaptive control Feedback Couplings Complex networks Convergence Eigenvalues and eigenfunctions Automatic control automation Stationary state

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Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm

Solving hot rolling scheduling problem by a new population-b...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Sun Kai Genke Yang Changchun Pan School of Electronic Information and Control Engineering Shandong Institute of Light Industry Jinan Shandong China Department of Automation Shanghai Jiao Tong University China

Hot rolling scheduling problem (HRSP) is an important research and development area for both academic and steel industries. In the paper, the problem is formulated as a prize-collecting vehicle routing problem (PCVRP), which considers two major requirements: (a) selecting a subset of slabs from manufacturing slabs to be processed; (b) determining the optimal production sequence under multiple constraints, such as sequence-dependant transition costs, non-execution penalties etc. And then, a new algorithm which combines the extremal optimization (EO) with population evolutionary technique, called PEOA, is proposed to solve the problem. The proposed algorithm is applied to a set of real production data to test its performance and efficiency. The experimental results show that the new PEOA is very effective to solve the problem.

关键词： Manuals Artificial neural networks Integrated circuits Slabs

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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7th Annual International Conference on Electrical engineering/electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Suteeratanapirom, Wijin Rattanawaorahirankul, Rapeepong Laosapan, Chutima Sanposh, Peerayot Chayopitak, Nattapon Tungpimolrut, Kanokvate Kunieda, Hiroaki TAIST Tokyo Tech ICTES Program Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-65 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward controller (FFC-PFC) are presented.

关键词： Friction

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Parameter identification of a Linear Permanent Magnet motor using Particle Swarm Optimization

Parameter identification of a Linear Permanent Magnet motor ...

引用

International Conference on Electrical engineering/electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Tithiwat Therdbankerd Peerayot Sanposh Nattapon Chayopitak Hideaki Fujita Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation Permanent magnet motors Particle swarm optimization Synchronous motors Signal processing Robotics and automation Chirp Intelligent robots control systems Laboratories

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A variable step size blind equalization algorithm for QAM signals

A variable step size blind equalization algorithm for QAM si...

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International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Xue Wei Yang Xiaoniu Zhang Zhaoyang Department of Information Science and Electronic Engineering University of Zhejiang Hangzhou Zhejiang China National Laboratory of Information Control Technology for Communication System Jiaxing Zhejiang China

The constant modulus algorithm (CMA) is one widely used algorithm for blind equalization of quadrature amplitude modulation (QAM) signals. The algorithm exhibits slow convergence rate and large steady state mean square error and the phase blind nature in comparison with the algorithms used in conventional data-aided equalization schemes. In this paper, a variable step size modified constant modulus algorithm is proposed. The proposed algorithm can achieve fast convergence rate and decrease steady state mean square error and correct phase shift and carrier frequency offset at the same time. The simulation results demonstrate the effectiveness of the proposed algorithm in improving convergence behavior and bit error rate performance.

关键词： Blind equalizers Quadrature amplitude modulation Steady-state Convergence Mean square error methods Baseband Intersymbol interference Adaptive equalizers Laboratories Communication system control

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A new quantitative evaluation method of Parkinson's disease based on free spiral drawing

A new quantitative evaluation method of Parkinson's disease ...

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International Conference on BioMedical engineering and Informatics (BMEI)

作者： Min Wang Bei Wang Junzhong Zou Lanlan Chen Fumio Shima Masatoshi Nakamura Department of Automation School of Information Science and Engineering East China University of Science and Technology Shanghai China Department of Functional Neurosurgery Kaizuka Hospital Fukuoka Japan Department of Advanced System Control Engineering Saga University Saga Japan

Parkinson's disease is a common disease of central nervous system among the elderly, and its complex symptoms bring some difficulties for the clinical diagnosis. In this study, a new method based on free spiral drawing was proposed to for quantitative evaluation of hand movement of patients with Parkinson's disease. According to the characteristics of hand movement in free spiral drawing, a set of parameters were defined and calculated. Experimental results showed that this method of evaluation was consistent with the clinical diagnosis. The proposed method based on free spiral drawing is effective in clinical diagnosis, and it provides a basis for quantitative evaluating the effectiveness of surgery and treatment.

关键词： Spirals Parkinson's disease Interpolation Feature extraction Hospitals Time domain analysis

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A robust neural network control of robot manipulator for industrial application

A robust neural network control of robot manipulator for ind...

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International Conference on control, automation and systems ( ICCAS)

作者： Tae-Hee An Huu Cong-Nguyen Jin-Hwan Sok Woo-Song Lee Sung-Hyun Han Department of Electronic Engineering Pusan National University busan South Korea Department of Mechanical System Engineering Graduate School Kyungnam University Masan South Korea Kwangjin Precision Company Limited Masan South Korea Division of Mechanical System and Automation Engineering Kyungnam University Masan South Korea

In this paper, we present two kinds of robust control schemes for robot system which has the parametric uncertainties. In order to compensate these uncertainties, we use the neural network control system that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear formulation of robot dynamic equation and tune the parameters. We also suggest the robust adaptive control laws in all proposed schemes for decreasing the effect of approximation error. To reduce the number of neural of network, we consider the properties of robot dynamics and the decomposition of the uncertainty function. The proposed controllers are robust not only to the structured uncertainty such as payload parameter, but also to the unstructured one such as friction model and disturbance. The reliability of the control scheme is shown by computer simulations and experiment of robot manipulator with 8 axis.

关键词： Artificial neural networks Uncertainty Manipulator dynamics Friction Adaptive control

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