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IEEE International Conference on Systems, Man and Cybernetics

作者： Huijun Gao Yan Zhao Tongwen Chen Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

This paper investigates the problem of H infin fuzzy control of nonlinear systems under unreliable communication links. The nonlinear plant is represented by a Takagi-Sugeno fuzzy model, and the control strategy takes the form of parallel distributed compensation. The communication links, existing between the plant and controller, are assumed to be imperfect (that is, data-packet dropouts occur intermittently, which appear typically in a network environment), and stochastic variables satisfying the Bernoulli random binary distribution are utilized to model the unreliable communication links. Attention is focused on the design of H infin controllers such that the closed- loop system is stochastically stable and preserves a guaranteed H infin , performance. Two approaches are developed to solve this problem, based on quadratic Lyapunov function and basis- dependent Lyapunov function respectively. Several examples are provided to illustrate the usefulness and applicability of the developed theoretical results.

关键词： Communication system control Fuzzy systems Fuzzy control control systems Lyapunov method Stability analysis Nonlinear systems control system synthesis Space technology Stochastic processes

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A Hierarchical Clustering Based on Mutual Information Maximization

A Hierarchical Clustering Based on Mutual Information Maximi...

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IEEE International Conference on Image Processing

作者： M. Aghagolzadeh H. Soltanian-Zadeh B. Araabi A. Aghagolzadeh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

Mutual information has been used in many clustering algorithms for measuring general dependencies between random data variables, but its difficulties in computing for small size datasets has limited its efficiency for clustering in many applications. A novel clustering method is proposed which estimates mutual information based on information potential computed pair-wise between data points and without any prior assumptions about cluster density function. The proposed algorithm increases the mutual information in each step in an agglomerative hierarchy scheme. We have shown experimentally that maximizing mutual information between data points and their class labels will lead to an efficient clustering. Experiments done on a variety of artificial and real datasets show the superiority of this algorithm, besides its low computational complexity, in comparison to other information based clustering methods and also some ordinary clustering algorithms.

关键词： Mutual information Clustering algorithms Clustering methods Data mining Data structures Density functional theory computational complexity Entropy Higher order statistics Probability density function

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AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY CHARACTERISTICS

AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY ...

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IEEE International Symposium on Biomedical Imaging

作者： Azadeh Yazdan-Shahmorad Hesamoddin Jahanian Suresh Patel Hamid Soltanian-Zadeh Radiology Department Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA Electrical and Computer Engineering Department Wayne State University Detroit MI USA Biomedical Engineering Department University of Michigan Ann Arbor MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424406715;1424406714

Water diffusion measurements have been shown to be sensitive to tissue cellular size, extra cellular volume, and membrane permeability. Therefore, diffusion tensor imaging (DTI) by MRI can be used to characterize highly cellular regions of tumors versus acellular regions, distinguishing cystic regions from solid regions. An automatic segmentation method is proposed in this paper based on a multi-phase clustering algorithm to segment the brain tumors in a feature space extracted from DTI images. The algorithm is applied on images of a total of 20 patients with 4 different types of tumors. The tumor region segmentation was 92% accurate based on the segmentation results using anatomical images and 100% accurate based on biopsy results. In general, the segmentation results obtained by the proposed method revealed a strong agreement with the biopsy results and anatomical images, providing support for the accuracy and robustness of the proposed feature space and the segmentation procedure.

关键词： Neoplasms Image segmentation Diffusion tensor imaging Clustering algorithms Biopsy Permeability measurement Volume measurement Size measurement Biomembranes Magnetic resonance imaging

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On Estimation of Plant Dynamics and Disturbance from Input-Output Data in Real Time

On Estimation of Plant Dynamics and Disturbance from Input-O...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Qing Zheng Linda Q. Gao Zhiqiang Gao The Center for Advanced Control Technologies Department of Electrical and Computer Engineering Cleveland State University Cleveland OH USA Department of Mathematics North Central College Naperville IL USA

This paper is concerned with the question of, for a physical plant to be controlled, whether or not its internal dynamics and external disturbances can be realistically estimated in real time from its input-output data. A positive answer would have significant implications on control system design, because it means that an accurate model of the plant is perhaps no longer required. Based on the linear extended state observer (LESO), it is shown that, for a nth order plant, the answer to the above question is indeed yes. In particular, it is shown that the estimation error (1) converges to the origin asymptotically when the model of the plant is given; (2) is bounded and inversely proportional to the bandwidth of the observer when the plant model is mostly unknown. Note that this is not another parameter estimation algorithm in the framework of adaptive control. It applies to a large class of nonlinear, time-varying processes with unknown dynamics. The solution is deceivingly simple and easy to implement. The results of the mathematical analysis are verified in a simulation study and a motion control hardware test.

关键词： control system synthesis Observers Estimation error Bandwidth Parameter estimation Adaptive control Mathematical analysis Analytical models Motion control Hardware

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A Survey on Quantum Cryptographic Protocols and Their Security

A Survey on Quantum Cryptographic Protocols and Their Securi...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： Chi-Hang Fred Fung Hoi-Kwong Lo Center for Quantum Information and Quantum Control Edward S. Rogers Sr. Department of Electrical and Computer Engineering and Department of Physics University of Toronto Toronto ONT Canada

Communications in secrecy are often required in many commercial and military applications. Unfortunately, many cryptographic schemes in use today such as public-key cryptography based on the RSA algorithm would be broken with either unanticipated advances in hardware and algorithm or the advent of quantum computers. Quantum cryptography, on the other hand, has been proven secure even against the most general attack allowed by the laws of physics and is a promising technology poised for widespread adoption in realistic cryptographic applications. Quantum cryptography allows two parties to expand on a secret key that they have previously shared. Various quantum cryptographic protocols have been proposed to perform this task. In this paper, we survey some popular quantum cryptographic protocols (including the famous Bennett-Brassard 1984 protocol) and discuss their security. Specifically, we consider their security in two cases: the ideal case where a perfect single-photon source is used and the practical case where a realistic laser source is used. We compare the protocols and find that the efficient six-state protocol outperforms the others both in the tolerable quantum bit error rate and in the key generation rate when a realistic laser source is used.

关键词： Cryptographic protocols Security Military computing Application software Quantum computing Military communication Public key cryptography Hardware Physics Bit error rate

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Robust fault detection for discrete-time Markovian jump systems with mode-dependent time-delays

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控制理论与应用（英文版） 2007年第2期5卷 139-144页

作者： Hongru WANG Changhong WANG Shaqshuai MOU Huijun GAO School of Information ＆ Communication Engineering Harbin Engineering University Harbin Heilongjiang 150001 China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin Heilongjiang 150001 China Department of Electrical and Computer Engineering The University of Alberta Edmonton Alberta T6G 2V4 Canada

This paper investigates a fault detection problem for a class of discrete-time Markovian jump systems with norm-bounded uncertainties and mode-dependent time-delays. Attention is focused on constructing the residual generator based on the filter of which its parameters matrices are dependent on the system mode, that is, the fault detection filter is a Markovian jump system as well. The design of fault detection filter is reduced to H-infinity filtering problem by using H-infinity control theory, which can guarantee the difference between the residual and the fault （or, more generally weighted fault） as small as possible in the context of enhancing the robustness of residual to modeling errors, control inputs and unknown inputs. Sufficient condition for the existence of the above filters is established by means of linear matrix inequalities, which can be readily solved by using standard numerical software. A numerical example is given to illustrate the feasibility of the proposed method.

关键词： Markovian jump system Time-delay Fault detection H-infinity filtering Linear matrix inequality Residual

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control of Discrete Linear Repetitive Processes with H and l2 - l Performance

Control of Discrete Linear Repetitive Processes with H and l...

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American control Conference (ACC)

作者： Ligang Wu James Lam Wojciech Paszke Krzysztof Galkowski Eric Rogers Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Mechanical Engineering University of Hong Kong Hong Kong China Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK

This paper considers the control of discrete linear repetitive processes, which are a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, which are of both system-theoretic and applications interest. In this paper we report new results on the design of control laws with guaranteed levels of performance. In particular, develop algorithms for the design of an H infin and lscr 2 - lscr infin dynamic output feedback controller which guarantees that the resulting controlled process is stable and has prescribed disturbance attenuation performance as measured by H infin and lscr 2 - lscr infin norms.

关键词： control systems Linear systems Algorithm design and analysis Space technology Iterative algorithms Process control Optimal control Stability analysis Convergence Cities and towns

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Nonlinear robust/adaptive controller design for an air-breathing hypersonic vehicle model

Nonlinear robust/adaptive controller design for an air-breat...

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AIAA Guidance, Navigation, and control Conference 2007

作者： Fiorentini, L. Serrani, A. Bolender, Michael A. Doman, David B. Collaborative Center of Control Science Ohio State University Columbus OH 43210 United States Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States Department of Electrical and Computer Engineering 2015 Neil Ave. United States AIAA United States AFRL/VACA 2210 Eighth St. United States

ISBN: (纸本)1563479044

This paper presents preliminary results on the design of a nonlinear robust controller for an air-breathing hypersonic vehicle model. To overcome the analytical intractability of a dynamical model derived from first principles, a simplified control-oriented model is used for control design. The control-oriented model retains most of the features of the original model, including non-minimum phase characteristic of the flight-path angle dynamics and strong couplings between the engine and flight dynamics, whereas flexibility effects, included in the simulation model, are regarded as a dynamic perturbation. In adopting reduced-complexity models for controller design, the issue of robustness with respect to model uncertainty must be carefully addressed and included at the design level. Dynamic inversion-based design methods do not lend themselves easily to quantitative robustness analysis, due to the complexity of the inverse model of the plant. In this paper, a nonlinear sequential loop-closure approach is adopted to design a dynamic state-feedback controllers that provide stable tracking of velocity and altitude reference trajectories. The approach considered in this paper utilizes a combination of adaptive and robust design methods based on both classic and recently developed nonlinear design tools. Simulation results indicate that the proposed methodology may constitute a feasible approach towards the development of robust nonlinear controllers that satisfactorily address the issue of model uncertainty for this type of applications.

关键词： Adaptive control systems

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A Hierarchical Face Identification System Based on Facial Components

A Hierarchical Face Identification System Based on Facial Co...

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ACS/IEEE International Conference on computer Systems and Applications

作者： Mehrtash T Harandi Majid Nili Ahmadabadi Babak N. Araabi School of cognitive science (SCS) Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

It is generally agreed that faces are not recognized only by utilizing some holistic search among all learned faces, but also through a feature analysis that aimed to specify more important features of each specific face. This paper addresses a novel decision strategy that efficiently uses both holistic and facial component (left eye, right eye, nose and mouth) feature analysis to recognize faces. The proposed algorithm uses the whole face features in the first step of recognition task. If the decision machine fails to assign a class (with high confidence) then the individual facial components are processed and the resulting information are combined with those obtained from the whole face to assign the output. Simulation studies justify the superior performance of the proposed method as compared to that of Eigenface method. Experimental results also show that the proposed system is robust against small errors in facial component extractor.

关键词： Face recognition Humans Facial features Nose Mouth Statistical learning Linear discriminant analysis Principal component analysis Object recognition Vectors

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A hybrid model for face recognition using facial components

A hybrid model for face recognition using facial components

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International Symposium on Signal Processing and Its Applications (ISSPA)

作者： Mehrtash T. Harandi Majid Nili Ahmadabadi Babak N. Araabi School of cognitive science SCS Institute for Studies Theoretical Physics and Mathematics (IPM) Tehran Iran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424407781

It is generally agreed that faces are not recognized only by utilizing some holistic search among all learned faces, but also through a feature analysis that aimed to specify more important features of each specific face. This paper addresses a novel decision strategy that efficiently uses both holistic and facial component (eye, nose and mouth) feature analysis to recognize faces. The proposed algorithm first performs a holistic search using the whole image features and selects probable candidates for further processing. Then the facial features of these probable candidates are compared and classified with the stored patterns in the train set. Finally the classification results are fused with a weighted majority voting to form the final decision. Simulation studies justify the superior performance of the proposed method as compared to that of Eigenface method.

关键词： Face recognition Facial features Humans Nose Mouth Linear discriminant analysis Lighting Voting Principal component analysis Independent component analysis

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