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World Congress on Intelligent control and Automation (WCICA)

作者： Jingxin Zhang Li Chai Cishen Zhang E. Mosca Department of Electrical and Computer Systems Engineering Monash University VIC Australia Department of Automatic Control Hangzhou Dianzi University Hangzhou China Department of Electrical and Computer Systems Engineering Monash University Hangzhou VIC Australia School of Electrical and Electronic Engineering Nanyang Technological University Singapore Dipartimento di Sistemi e Informatica Universityá di Firenze Italy

This paper studies the mixed-norm approximation of IIR digital filters by FIR digital filters. Effective methods using LMIs are presented to solve the approximation problem. The effectiveness is demonstrated by examples

关键词： Finite impulse response filter Digital filters Chebyshev approximation Least squares approximation Transfer functions Linear matrix inequalities Wideband Frequency Narrowband Least squares methods

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Construction of Tight Filter Bank Frames

Construction of Tight Filter Bank Frames

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Li Chai Jingxin Zhang Cishen Zhang E. Mosca Department of Automatic Control Hangzhou Dianzi University Hangzhou China Department of Electrical and Computer Systems Engineering Monash University Hangzhou VIC Australia Department of Electrical and Computer Systems Engineering Monash University VIC Australia School of Electrical and Electronic Engineering Nanyang Technological University Singapore Dipartimento di Sistemi e Informatica Universityá di Firenze Italy

In this paper, we present an explicit and numerically efficient formulae to construct a tight (paraunitary) FB frame from a given un-tight (non-paraunitary) FB frame. The derivation uses the well developed techniques from modern control theory, which results in the unified formulae for generic IIR and FIR FBs. These formulae involve only algebraic matrix manipulations and can be computed efficiently and reliably without the approximation required in the existing literature

关键词： Filter bank State-space methods control theory Finite impulse response filter Matrices Signal design Systems engineering and theory Information analysis Signal analysis Noise reduction

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INFLUENCE OF SCALING AND UNFOLDING IN PCA BASED MONITORING OF NUTRIENT REMOVING BATCH PROCESS

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IFAC Proceedings Volumes 2006年第13期39卷 114-119页

作者： Magda Ruiz Kris Villez Gurkan Sin Joan Colomer Peter Vanrrolleghem 1Control Engineering and Intelligent Systems Group –eXiT Department of Electronics Computer Science and Automatic Control University of Girona Campus Montilivi CP 17071 Building PIV Girona - Spain Department of Applied Mathematics Biometrics and Process Control Ghent University Coupure Links 653 B-9000 Ghent – Belgium

The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfolding and scaling of data have been applied to a pilot-scale SBR data. PCA is used to reduce the dimensionality and to remove the non-linearity dynamic of the data. Moreover, a new method to select the number of principal components is proposed. Loadings graphics are used to determinate the predominant variables for each one. The results show that whatever model can be applied depending on the goal of the monitoring, however the models implicate possible false alarms or faults omission.

关键词： Biological Process Process monitoring Multiway Principal Component Analysis (MPCA)

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Study on Mathematical Model and Lyapunov-Based control for Three-Level NPC Voltage-Source Rectifier

Study on Mathematical Model and Lyapunov-Based Control for T...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Yong Qing Meng Liu Zheng Chuan Wen Shen Liang Yi Yan Min Su Ting Yu Department of Electrical Engineering Xi'an JiaoTong University Xi'an China Flight Automatic Control Research Institute Xi'an China Department of Electrical Engineering Xi'an Jiaotong University Xi'an China English Department Northwest Institute of Political Science and Law Xi'an China

In this paper, the mathematical model of three-level neutral-point-clamped (NPC) voltage source rectifier (VSR) using switching functions is founded firstly, and its operating principle is analyzed. Then a new nonlinear control law based on Lyapunov's stability theory for the PWM rectifier is presented. With this control law, the converter can be stabilized globally for handling large-signal disturbances, and exhibit good transient response. Also, by designing PI controller of DC-link voltage and adding feedforward control of load current, the steady state error of the converter resulting from parameter uncertain can be eliminated effectively. computer simulations of the system confirm the validity of the mathematical model and the effectiveness of the proposed control strategy

关键词： Mathematical model Voltage control Rectifiers Pulse width modulation Lyapunov method Transient response Steady-state computer errors Error correction computer simulation

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Application of the Integrated Micro Acceleration Measurement System in Target Recognition

Application of the Integrated Micro Acceleration Measurement...

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IEEE Instrumentation and Measurement Technology Conference

作者： Jinhui Lan Yixin Yin Tian Lan Department of Measurement and Control Technologies Information Engineering School University of Science and Technology Beijing Beijing China Department of Electrical and Computer Engineering OGI School of Science and Engineering Oregon Health and Sciences University OR USA

It is studied that an integrated micro acceleration measurement system was used to detect the seismic acceleration signals from moving vehicle targets and recognize these targets in the paper. The seismic signals of typical vehicles have been tested by the system and analyzed in this paper, because seismic properties of vehicle targets are an important index of target recognition. In order to realize the target classification and recognition, a technique of artificial neural networks combined with Dempster-Shafer theory of evidence (ANNCDSTE) is applied to classification of seismic signals. The technique and its architecture have been presented. Through outdoor experiments, it can be proven that seismic properties of target acquired by the micro acceleration measurement system are correct, ANNCDSTE method is effective to solve the problem of target recognition

关键词： Accelerometers Target recognition Vehicle detection Paper technology control systems Artificial neural networks Signal processing Testing Automotive engineering Acceleration

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Adaptive fuzzy sliding-mode control for non-minimum phase overload system of zmissile

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作者： Bao, Yongping Du, Wenchao Tang, Daquan Yang, Xiuzhen Yu, Jinyong School of Mathematics and Information Lu Dong University Yantai 264001 China Graduate Students' Brigade Naval Aeronautical Engineering Institute Yantai 264001 China Special Missiles Representatives Office Beijing of Military Representatives Bureau of NED in Tianjin Beijing 100076 China School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100083 China Department of Automatic Control Engineering Naval Aeronautical Engineering Institute Yantai 264001 China

ISBN: (纸本)3540372555

An adaptive fuzzy logic system is incorporated with the Varibale Structure control (VSC) system for the purpose of improving the performance of the control system. A sliding surface with an additional tunable parameter is defined as a new output based on the idea of output redefinition, as a result the overload system of missile with the characteristic of non-minimum phase can be transformed into minimum-phase system by tuning the parameters of the sliding surface, and a sliding-mode controller can be designed. For the existence of uncertainty of the parameters, a fuzzy logic system is used to approximate it, thus the chattering effects can be alleviated. Finally, the simulation results have been given to show the effectiveness of the proposed control scheme. © Springer-Verlag Berlin/Heidelberg 2006.

关键词： Fuzzy logic

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Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network

Channel Assignment using Chaotic Simulated Annealing Enhance...

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International Joint Conference on Neural Networks (IJCNN)

作者： A.M. Farahmand M.J. Yazdanpanah Department of Computing Science University of Alberta Canada Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Channel assignment problem in cellular communication is a difficult combinatorial optimization problem. There is no exact polynomial-time solution for it and searching the whole solution space is infeasible for large problems. By defining the problem's cost function as the energy function of a chaotic Hopfield neural network, we devise a framework for finding competitive suboptimal or even optimal solutions for combinatorial optimization problem in general, and channel assignment problem in particular. In our architecture, we inject chaotic noise in order to help the network escape from local minima of the energy function while we enforce problem constraints by external inputs of neurons. Experimental results show the superiority of our method to other methods.

关键词： Chaos Simulated annealing Hopfield neural networks Chaotic communication Neurons Interference control engineering computing Process control Intelligent control Polynomials

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Integrated information processing and communications: Complexity analysis

Integrated information processing and communications: Comple...

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IASTED International Conference on COMMUNICATION SYSTEMS AND APPLICATIONS Part of the Sixth IASTED International Multi-Conference on WIRELESS AND OPTICAL COMMUNICATIONS

作者： Huyu, Qu Le, Yi Wang Yaprak, Ece Hong, Wang Yanlong, Zhao Department of Electrical and Computer Engineering Wayne State University Detroit MI 48202 United States Division of Engineering Technology Wayne State University Detroit MI 48202 United States Department of Anesthesiology Wayne State University Detroit MI 48202 United States Key Laboratory of System and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences China

Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmission bandwidths assigned to a wireless communication channel, appropriate utility of available resources becomes imperative. This paper investigates fundamental relationships between accuracy of information exchange and communication resources, on a platform of wireless communication channels that involve typical system blocks of data compression, quantization, and stochastic wireless channels. The main complexity relationships developed in this paper provide rigorous trade-off between resource consumptions and information processing errors of each block. When these relationships are integrated, an optimization procedure emerges that allows optimal allocation of resources to each system block, such as compression ratio, quantization levels, and transmission speed, to maximize overall information accuracy. Consequently, the overall errors of the transmitted signal will be minimized at the receiver end.

关键词： Data processing

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Multi-Innovation Stochastic Gradient Identification Methods

Multi-Innovation Stochastic Gradient Identification Methods

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World Congress on Intelligent control and Automation (WCICA)

作者： Feng Ding Tongwen Chen Control Science and Engineering Research Center Southern Yangtze University Wuxi Jiangsu China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

The stochastic gradient (SG) identification algorithm has a poor convergence rate. We extend the SG algorithm from the viewpoint of innovation modification and present multi-innovation stochastic gradient (MISG) identification algorithms. Since the multi-innovation stochastic gradient algorithms use not only the current data but also the past data at each iteration, parameter estimation accuracy can be improved. Further, we study the performance of the SG and MISG algorithms and show that the MISG algorithms have faster convergence rates and better tracking performance than their corresponding SG algorithms by simulation results

关键词： Stochastic processes Convergence Parameter estimation Eigenvalues and eigenfunctions Stochastic systems Technological innovation Gradient methods Linear regression Vectors Stochastic resonance

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Delay dependent fault estimation for uncertain time delay nonlinear systems: an LMI approach

Delay dependent fault estimation for uncertain time delay no...

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American control Conference (ACC)

作者： Sing Kiong Nguang Peng Shi S. Ding The Department of Electrical and Computer Engineering University of Auckland New Zealand School of Technology University of Glamorgan Pontypridd UK Institute for Automatic Control and Complex Systems (AKS) Faculty of Engineering University of Duisburg-Essen Duisburg Germany

This paper deals with the problem of robust fault estimation for uncertain time delay Takagi-Sugeno (TS) fuzzy models. The aim of this study is to design a delay dependent fault estimator ensuring a prescribed H infin performance level for the fault estimation error, irrespective of the uncertainties and the time delays. Sufficient conditions for the existence of a robust fault estimator are given in terms of linear matrix inequalities. Membership functions'(MFs) characteristics are incorporated into the fault estimator design to reduce the conservativeness of neglecting these characteristics

关键词： Delay effects Delay estimation Nonlinear systems Fuzzy systems Fault detection Robustness Uncertainty Estimation error Sufficient conditions Linear matrix inequalities

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