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IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

作者： Song, Tao Jamshidi, Mo Lee, Roland R. Huang, Mingxiong Radiology Department University of California San Diego San Diego CA United States Autonomous Control Engineering Center Electrical and Computer Engineering Department University of New Mexico Albuquerque NM United States

In this paper, we propose a modified probabilistic neural network, and applied it to brain magnetic resonance (MR) image segmentation. Comparing to conventional probabilistic neural network (PNN), the so-called weighted probabilistic neural network (WPNN): 1) uses covariance matrices instead of singular smoothing factor in kernel function;2) adds weighting factors in pattern to summation layer. The WPNN is able to take partial volume effect, which exists commonly in MR. imaging, into account not only in the final resulting stage, but also in the modeling process. We adopt self-organizing map (SOM) neural network as the previous step of WPNN classifier, to quantize the input data. SOM yields reference vectors necessary for probabilistic density function estimation. A supervised "soft" labeling mechanism based on Bayesian algorithm is developed, such that weighting factors can be generated for each SOM reference vector. Tissue segmentation results from various algorithms are compared, and the effectiveness and robustness of the proposed approach are demonstrated. © 2005 IEEE.

关键词： Neural networks

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Fractal Graph Optimization Algorithms

Fractal Graph Optimization Algorithms

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IEEE Conference on Decision and control

作者： J.R. Riehl J.P. Hespanha Center for Control Dynamical Systems and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA USA

We introduce methods of hierarchically decomposing three types of graph optimization problems: all-pairs shortest path, all-pairs maximum flow,and search. Each method uses a partition on the graph to create a high level problem and several lower level problems. The computations on each level are identical, so the low level problems can be further decomposed. In this way, the problems become fractal in nature. We use these decomposition methods to establish upper and lower bounds on the optimal criteria of each problem, which can be achieved with much less computation than what is required to solve the original problem. Also, for each problem, we find an optimal number of partitions that minimizes computation time. As the number of hierarchical levels increases, the computational complexity decreases at the expense of looser bounds.

关键词： Fractals Partitioning algorithms Shortest path problem Search problems Navigation Path planning Costs Dynamic programming Optimization methods computational complexity

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Optimal mobile sensor motion planning under nonholomonic constraints for parameter estimation of distributed systems

Optimal mobile sensor motion planning under nonholomonic con...

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作者： Song, Zhen Chen, YangQuan Liang, Jinsong Uciński, Dariusz CSOIS Department of Electrical and Computer Engineering Utah State University Logan UT 84322 United States Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)0780389123

This paper presents a numerical solution for a mobile sensor motion trajectory scheduling problem under nonholomonic constraints of a project named MAS-net, which stands for Mobile Actuator- Sensor network. The motivation of the MAS-net project, at the first stage, is to estimate diffusion system parameters by networked mobile sensors. Each sensor is mounted on a differential-drive mobile robot to observe the diffusing fog. In other words, this project requires to observe a parabolic distributed parameter systems (DPS) by nonholonomic networked mobile sensors. This paper reformulates this problem in the framework of optimal control and proposes a procedure to obtain a numerical solution by using RIOTS [1] and Matlab PDE Toolbox [2]. The objective function of this method is designed to minimize the effect of the sensing noise. Extensive simulation results are presented for illustration. © 2005 IEEE.

关键词： Motion planning

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Monitoring driver's alertness based on the driving performance estimation and the EEG power spectrum analysis

Monitoring driver's alertness based on the driving performan...

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27th Annual International Conference of the IEEE-engineering-in-Medicine-and-Biology-Society

作者： Liang, S. F. Lin, C. T. Wu, R. C. Chen, Y. C. Huang, T. Y. Jung, T. P. Brain Research Center University System of Taiwan Taiwan Department of Electrical and Control Engineering National Chiao-Tung University Hsinchu Taiwan Institute for Neural Computation University of California San Diego San Diego CA United States

ISBN: (纸本)0780387406

Preventing accidents caused by drowsiness behind the steering wheel is highly desirable but requires techniques for continuously estimating driver's abilities of perception, recognition and vehicle control abilities. This paper proposes methods for drowsiness estimation that combine the electroencephalogram (EEG) log subband power spectrum, correlation analysis, principal component analysis, and linear regression models to indirectly estimate driver's drowsiness level in a virtual-reality-based driving simulator. Results show that it is feasible to quantitatively monitor driver's alertness with concurrent changes in driving performance in a realistic driving simulator.

关键词： alertness EEG power spectrum correlation analysis linear regression model

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On hybrid controllers that induce input-to-state stability with respect to measurement noise

On hybrid controllers that induce input-to-state stability w...

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IEEE Conference on Decision and control

作者： R.G. Sanfelice A.R. Teel Center for Control Dynamical Systems and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA USA

For a class of nonlinear systems affine in controls and with unknown high frequency gain, we develop a hybrid control strategy that guarantees (practical) global input-to-state stability (ISS) with respect to measurement noise. We provide a design procedure for the hybrid controller and apply it to Freeman’s counterexample and minimum-phase relative degree one systems.

关键词： Stability Noise measurement control systems Feedback Nonlinear control systems Nonlinear systems Noise robustness Frequency measurement Gain measurement Robust control

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Speed control of Switched Reluctance Motor (SRM) using emotional learning based adaptive controller

Speed control of Switched Reluctance Motor (SRM) using emoti...

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5th International Conference on control and Automation, ICCA'05

作者： Rouhani, Hosscin Milasi, Rasoul Mohammadi Lucas, Caro Iranian Applied Design Center of Excellence Mechanical Engineering Department University of Tehran PO BOX: 14395-1367 Tehran Iran Iranian Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran SCS IPM Iran

ISBN: (纸本)0780391381

In this paper, an intelligent controller is applied to speed control of a switched reluctance motor. Two techniques are used which have been successfully used in other intelligent modeling and control applications. Firstly, a neurofuzzy locally linear model tree system is used for data driven modeling of the switched reluctance motor. Secondly, a neural computing technique based on a mathematical model of amygdala and the limbic system is used for emotional control of the switched reluctance motor. The obtained results indicate the applicability of the proposed techniques in intelligent control of this highly nonlinear system. © 2005 IEEE.

关键词： Speed control

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Fuzzy sliding mode control applied to low noise switched reluctance motor control

Fuzzy sliding mode control applied to low noise switched rel...

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5th International Conference on control and Automation, ICCA'05

作者： Rouhani, Hossein Lucas, Caro Milasi, Rasoul Mohammadi Bahrami, Mansour Nikkhah Iranian Applied Design Center of Excellence Mechanical Engineering Department University of Tehran PO BOX: 14395-1367 Tehran Iran Iranian Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran SCS IPM Iran

ISBN: (纸本)0780391381

In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by Finite Element Method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources. © 2005 IEEE.

关键词： Sliding mode control

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ROBUST REGULATION OF A CLASS OF NONLINEAR SINGULARLY PERTURBED SYSTEMS

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IFAC Proceedings Volumes 2005年第1期38卷 393-398页

作者： R. Amjadifard M.J. Yazdanpanah M.T.H. Beheshti Department of Electrical Engineering Faculty of Engineering Tarbiat Modarres University Tehran Iran Control & Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper, robust regulation of a class of nonlinear singularly perturbed systems, via nonlinear H ∞ approach is considered. Under appropriate assumptions, it is shown through two new theorems that the existence of a positive definite solution for the Hamilton-Jacobi-Isaacs inequality related to the problem of disturbance attenuation for the main singularly perturbed system, can be related to the existence of a solution of a (simpler) Hamilton-Jacobi-Isaacs inequality arising in the problem of disturbance attenuation for the reduced-order system.

关键词： Nonlinear systems Singular perturbation Robust performance H-infinity control

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Hierarchical image segmentation using ant colony and chemical computing approach 1

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First International Conference on Natural computation, ICNC 2005

作者： Khajehpour, Pooyan Lucas, Caro Araabi, Babak N. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran School of Cognitive Science Institute for Studies in Theoretical Physics and Mathematics Tehran Iran

ISBN: (数字)9783540318583

ISBN: (纸本)9783540283256

This paper presents a new method for hierarchical image segmentation. The hierarchical structure is represented by a binary tree with the main image as its root. At the lower levels, each node stands as one image segment, which is described by a weighted graph and may be divided into two new segments at the next level through a specific cut. Graph bi-sectioning is done by the self organizing property of ant systems. Ants are free to wander over one image segment graph to find the best cut on it. When an ant finds a suitable cut, it returns to its colony and leaves a proper value of pheromone over its trail to attract other ants to that cut. By using the Chemical Computing approach in this paper, it is assumed the mobile hormones (pheromone) are secreted which can diffuse around initial positions and attract more ants to the found cut. The advantages of this assumption are reducing the noise effects and improving the convergence speed of ants to find a new selected image segment, which can be seen in the practical results. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image segmentation

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Results on convergence in hybrid systems via detectability and an invariance principle

Results on convergence in hybrid systems via detectability a...

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American control Conference (ACC)

作者： R.G. Sanfelice R. Goebel A.R. Teel Center for Control Eng. & Compulation California Univ. Santa Barbara CA USA Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA USA

Two invariance principles for generalized hybrid systems are presented. One version involves the use of a nonincreasing function, like in the original work of LaSalle. The other version involves "meagreness" conditions. These principles characterize asymptotic convergence of bounded hybrid trajectories to weakly invariant sets. A detectability property is used to locate a set in which the Q-limit set of a trajectory is contained. Next, it is shown how the invariance principles can be used to certify asymptotic stability in hybrid systems. Lyapunov and Krasovskii theorems for hybrid systems are included.

关键词： Convergence Asymptotic stability Military computing Sufficient conditions Mathematical model Difference equations control engineering control engineering computing Linear systems Nonlinear systems

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