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Guangxue Xuebao/Acta Optica Sinica 2008年第2期28卷 259-267页

作者： Gai, Shaoyan Da, Feipeng Key Laboratory of Measurement and Control for Complex System Research Institute of Automation Southeast University Nanjing 210096 China

A new fast and robust phase-coding-unwrapping algorithm is proposed. By alternating the center area of fringes, the code information is added to the phase-shifting fringes, which include not only the primary phase information but also the code information for phase unwrapping. An alteration function is constructed to catch the code information and then give the unwrapped phase. The error and noise of the alteration function is discussed, then a new filter method called directional filtering is proposed to remove the noise, and the mistakes of phase unwrapping are depressed by this method. The simulation and experimental results show the feasibility of the new algorithm. The speed and dependability of the new algorithm are much better than those of the traditional method.

关键词： Light measurement

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A Multi-objective Evolutionary Algorithm of Marriage in Honey Bees Optimization Based on the Local Particle Swarm Optimization

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IFAC Proceedings Volumes 2008年第2期41卷 12330-12335页

作者： Chenguang Yang Jie Chen Xuyan Tu Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing China Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimization (MOPSMBO). It uses non-dominated sorting strategy and crowded-comparison approach, utilizes the local Particle Swarm Optimization (PSO) to perform the local characteristic, and simpler the structure of MBO. Based on the Markov chain theory, we prove that MOPSMBO can converge with probability one to the entire set of minimal elements. Simulations are done on several multi-objective test functions and multi-objective Traveling Salesman Problem (TSP). By comparing MOPSMBO with MOGA, NPGA, NSGA and NSGA-II, simulation results show that MOPSMBO has better convergence speed and can better converge near the true Pareto-optimal front.

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Adaptive fuzzy H control for friction compensation and disturbance rejection

Adaptive fuzzy H control for friction compensation and distu...

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27th Chinese control Conference, CCC

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

ISBN: (纸本)9787900719706

An adaptive fuzzy H control scheme which possesses the strongpoint of adaptive fuzzy control and H control was proposed in this paper. The adaptive fuzzy control can compensate the nonlinear dynamic friction with its universal approximation function and strong robustness, while the H control can suppress the disturbance efficaciously. Finally, the closed-loop system stability and asymptotic position tracking performance were guaranteed by the Lyapunov function and the system tracking accuracy improved, which was verified by the simulation results.

关键词： Disturbance rejection

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Finite-Time Tracking control of a Nonholonomic Mobile Robot

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IFAC Proceedings Volumes 2008年第2期41卷 12212-12217页

作者： Zhao Wang Shihua Li Shumin Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing P.R. China College of Information and Control Engineering China University of Petroleum Dongying 257061 P.R. China

In this paper, the finite-time tracking problem is investigated for a nonholonomic wheeled mobile robot in a fifth-order dynamic model. We consider the whole tracking error system as a cascaded system. Two continuous global finite-time stabilizing controllers are designed for a second-order subsystem and a third-order subsystem respectively. Then finite-time stability results for cascaded systems are employed to prove that the closed-loop system satisfies the finite-time stability. Thus the closed-loop system can track the reference trajectory in finite-time when the desired velocities satisfy some conditions. In particular, we discuss the control gains selection for the third-order finite-time controller and give sufficient conditions by using Lyapunov and backstepping techniques. Simulation results demonstrate the effectiveness of our method.

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Solution of Cannonball Dispersion Evenness Based on Estimation of Distribution Algorithm

Solution of Cannonball Dispersion Evenness Based on Estimati...

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7th World Congress on Intelligent control and Automation (WCICA 2008), vol.10

作者： Gaopeng Wang Lihua Dou Juan Zhang Chen Chen Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China Beijing Institute of Technology Beijing Beijing CN

Cannonball dispersion evenness is the main parameter for the design and optimization of future air window. The key of solution of cannonball dispersion evenness is the computations of the biggest value and smallest value of a 2-dimensional continuous function, which has many maximum values and minimum values. Moreover, as it need to compute the biggest value and smallest value for many times in the design and parameter computation of FAW, the solution algorithm is required global convergence and quick convergence speed. Many randomly generated individuals are introduced in each generation to avoid local convergence, and in order to speed up the convergence speed, probability distribution models are founded to guide the searching process. By computer simulation verifying, the algorithm has the advantages of quick convergence speed and high precision of solution in certain generations compared to conventional genetic algorithm. The algorithm is also suitable for other optimizing solutions of 2-dimentional continuous function.

关键词： Future air window Cannonball dispersion evenness Estimation of distribution algorithm (EDA) 2-dimensional continuous function

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Stabilizability of Networked control systems via Packet-loss Dependent Output Feedback controllers

Stabilizability of Networked Control Systems via Packet-loss...

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2008 American control Conference (ACC), vol.9

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China

We consider the output feedback stabilizability of networked control systems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： Networked control systems Output feedback control systems Switched systems State feedback Lyapunov method Linear matrix inequalities Electrical equipment industry Industrial control Sufficient conditions

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Welded joint localization based on model matching with structured-light vision sensing

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2008年第SUPPL. 1期36卷 76-79页

作者： Gong, Yefei Dai, Xianzhong Li, Xinde Gan, Yahui Key Laboratory of Measurement and Control of Complex Systems of Engreering School of Automation Southeast University Nanjing 210096 China

A model-based matching method is proposed for welded joint localization and recognition. Simple parameterized joint models are defined, which approach the actual joint pose fast in a iterative style by using the partial Hausdorff distance (PHD) as the similarity measurement. Statistical analysis is employed to determine the matching parameters adaptively, and the dimension of parameter space is decreased by performing the estimation on the structured light plane, which make a robust and real-time performance. Experiments show that accurate result can be acquired in real time, which meets the actual applications' requirements.

关键词： Computer vision

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Automatic route tracking of smartcar based on fuzzy control

Automatic route tracking of smartcar based on fuzzy control

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World Congress on Intelligent control and Automation (WCICA)

作者： Guiyou Chen Zhenhua Li Ping Yang School of Control Science and Engineering Shandong University Jinan Shandong China Key Laboratory of Complex System and Intelligent Sciences Institute of Automation Chinese Academy of Sciences Chinese Academy of Sciences Beijing China

The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.

关键词： Fuzzy control Microcontrollers control systems DC motors Servomotors MATLAB Mathematical model

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Neural Network Approaches to Unimodal Surjective Map Chaotic system Forecasting

Neural Network Approaches to Unimodal Surjective Map Chaotic...

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International Symposium on Intelligent Information Technology Application, IITA

作者： Yagang Zhang Po Zhang Xiaozhe Wang Zengping Wang Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Baoding China Center for Nonlinear Complex Systems Yunnan University Kunming China

The forecasting using neural networks in unimodal surjective map chaotic dynamic system will be studied carefully in this paper. And most of the forecasting precision has exceeded 90%. Because of the intrinsic property of chaos, the forecasting precision will decrease as the length of symbolic sequence is increasing. But in this place we have found a generating rule that may realize chaotic synchronization at least in short and medium term, and we can analysis and forecast in this way. Nonlinear dynamics maintain manifold links with biologic information system. We also hope to offer an effective prediction method to study certain properties of DNA base sequences, 20 amino acids symbolic sequences of proteid structure, and the time series that can be symbolic in finance market et al.

关键词： Neural networks Chaos Sequences Economic forecasting Nonlinear dynamical systems Information systems Prediction methods DNA Amino acids Finance

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Packet-loss dependent controller design for networked control systems via switched system approach

Packet-loss dependent controller design for networked contro...

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IEEE Conference on Decision and control

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Zhuxinzhuang Beijing China The Seventh Research Division Beihang University Beijing China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)9781424431236

The stabilization problem of networked control systems with bounded packet loss is addressed. We model such networked control systems as a class of switched systems, and present sufficient conditions for the stabilization by using a packet-loss dependent Lyapunov function. Moreover, different from existing results, we propose the design for packet-loss dependent stabilizing controllers for two types of packet-loss processes: one is a arbitrary packet-loss process, and the other is a Markovian packet-loss process. Several numerical examples and simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： control systems Networked control systems Switched systems Sufficient conditions Optimal control Delay effects Communication system control Communication system traffic control Feedback control Electrical equipment industry

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