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13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

作者： Momoh, James A. Kaili, Xu IEEE Center for Electrical System and Control Department of ECE Howard University Washington DC 20059 Department of Electrical and Computer Engineering Howard University Washington DC 20059 United States Center for Energy Systems and Control Electrial and Computer Engineering Howard University Washington DC 20059 United States

ISBN: (纸本)1599750287

Different from most power systems, the requirement for reliability of the power system on board a spacecraft is much more stringent. However, the reliability of the spacecraft power system can not be solely realized by increasing system redundancies due to limitations on mass. A Ring-Bus topology has been proposed for this purpose. This paper provides an analysis to this special topology, study selected critical possible failure scenarios and propose methods to maximize the serviceability of the system. A spacecraft power system is distinguished from most other system as it orbits around the earth. The primary source of the system is solar energy. Batteries save energy for ellipse time. To maximize the serviceability, the solar energy should be utilized most efficiently and the batteries should be strategically discharged to meet not only immediate load but anticipated load in the future. At the same time, the system should minimize current flows among different ring buses. Multiple objective functions are proposed and implemented in this paper based on different system operating conditions. The main goal is to maximize the serviceability of the system. The optimization result can be utilized to design controllers for the PV sources, loads and batteries. The proposed methods are tested on a Ring-Bus system. The testing result shows that the system can correctly determine its optimum operating strategy and corresponding control actions. © 2005 ISAP.

关键词： Electric power systems

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WLAN differential indoor positioning using reference points

WLAN differential indoor positioning using reference points

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Institute of Navigation, 2005 National Technical Meeting, NTM 2005

作者： Chun, Jae Woong Chey, Jaywon Lee, Jang Gyu Jee, Gyu-In Kim, Wuk Department of Electrical Engineering Seoul National Universitiy Department of Electonic Engineering Konkuk University Telecommunication Network Samsung Electronics Co. School of Electrical Engineering and Computer Science Seoul National University School of Electrical Engineering Seoul National University Automatic Control Research Center Department of Electronics Engineering Konkuk University

As the interest of location based-service and ubiquitous environment is proliferated, the development of technologies to determine mobile station location indoors and outdoors is basically demanded for providing various services based on user's location. Representatively, GPS(Global Positioning System) is the most well-known positioning system, but actually isn't an adequate system indoors because of the weakness of positioning signals, NLOS(Non-line of sight) and multipath. Therefore, recently in order to replace it, new technologies using WLAN have been presented. In the thesis, as estimating NLOS errors between mobile station and access points using reference points, a triangulation positioning method based on signal strength will be proposed. Also, indoor positioning experiment results will be shown.

关键词： Global positioning system

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Converse Lyapunov theorems and robust asymptotic stability for hybrid systems

Converse Lyapunov theorems and robust asymptotic stability f...

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American control Conference (ACC)

作者： Chaohong Cai A.R. Teel R. Goebel Department of Electrical & Computer Engineering Control Engineering & Computation University of California Santa Barbara USA

We state results on the existence of smooth Lyapunov functions for hybrid systems whose solutions satisfy a class-KLL estimate with respect to two measures. The class-KLL estimate, a natural extension of class-KL estimate, is in terms of the elapsed time and the number of jumps that have occurred. The main result is that a smooth Lyapunov function exists if and only if the class-KLL estimate is robust. In turn, sufficient conditions for robustness are given. Special cases include systems with compact attractors. Most of the results parallel, and unify, what has been developed previously for differential inclusions and difference inclusions.

关键词： Robust stability Asymptotic stability Lyapunov method Robustness Sufficient conditions Military computing Chaos State estimation Differential equations Difference equations

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An improved multiagent reinforcement learning algorithm

An improved multiagent reinforcement learning algorithm

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2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology

作者： Xiangping, Meng Babuška, Robert Busoniu, Lucian Yu, Chen Wanyu, Tan Department of Electrical Engineering Changchun Institute of Technology China Delft Center for Systems and Control Delft University of Technology Netherlands Department of Computer Engineering Northeast China Institute of Electric Power China

ISBN: (纸本)0769524168

An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that this algorithm has some properties, such as easy computation, simple operation procedure and can guarantee an good learning convergence. © 2005 IEEE.

关键词： Learning algorithms

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Results on solution sets to hybrid systems with applications to stability theory

Results on solution sets to hybrid systems with applications...

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American control Conference (ACC)

作者： R. Goebel A.R. Teel Seattle WA USA Center for Control Engineering and Computation Department of Electrical and Computer Engineering University of California Santa Barbara USA

Motivated by questions in stability theory for hybrid dynamical systems, we establish some fundamental properties of the set of solutions to such systems. Using the notion of a hybrid time domain and general results on set and graphical convergence, we establish under weak regularity and local boundedness assumptions that the set of solutions is sequentially compact and "upper semicontinuous" with respect to initial conditions and system perturbations. The latter means that each solution to the system under perturbations is close to some solution of the unperturbed system on a compact hybrid time domain. The general facts are then used to establish several results for the behavior of hybrid systems that have asymptotically stable compact sets. For example, it is shown that the basin of attraction for a compact attractor is (relatively) open, the attractivity is uniform from compact subsets of the basin of attraction, and asymptotic stability is robust with respect to small perturbations.

关键词： Robust stability Asymptotic stability control engineering control engineering computing Military computing Nonlinear control systems control systems Robust control Nonlinear systems Differential equations

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Methods of improving protein structure prediction based on HLA neural network and combinatorial fusion analysis

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WSEAS Transactions on Information Science and Applications 2005年第12期2卷 2146-2153页

作者： Lin, Ken-Li Lin, Chun Yuan Huang, Chuen-Der Chang, Hsiu-Ming Yang, Chiao Yun Lin, Chin-Teng Tang, Chuan Yi Hsu, D. Frank Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Computer Center Chung Hua University Hsinchu Taiwan Institute of Molecular and Cellular Biology National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering Hsiuping Institute of Technology Taichung Taiwan Brain Research Center National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer and Information Science Fordham University New York NY 10023 United States

The accurate classification of protein structure is critical and essential for protein function determination in Bioinformatics and Proteomics. A reasonably high rate of prediction accuracy for protein structure classification has been achieved recently in coarse-grained protein class assignment according to their primary amino acid sequences, such as classifying proteins into four classes in SCOP. However, it is still quite a challenge for fine-grained protein fold assignment, especially when the number of possible folding patterns as those defined in SCOP is large. In our previous work, hierarchical learning architecture (HLA) neural networks have been used to differentiate proteins according to their classes and folding patterns. A better prediction accuracy rate for 27 folding categories was 65.5% which improves previous results by Ding and Dubchak with 56.5% prediction accuracy rate. The success of the protein structure classification depends heavily on the computational methods used and the features selected. Here combinatorial fusion analysis (CFA) techniques are used to facilitate feature selection and combination for improving prediction accuracy rate of protein structure classification. The resulting classification has an overall prediction accuracy rate of 87.8% for coarse-grained 4 classes and 70.9% for fine-grained 27 folding categories by applying the concept of CFA to our previous work using neural network with the HLA framework. These results are significantly higher than others and our previous work. They further demonstrate that the CFA techniques can greatly enhance the machine learning method (such as NN in the paper) in the protein structure prediction problem.

关键词： Medical applications

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A new active queue management algorithm based on neural networks PI

A new active queue management algorithm based on neural netw...

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作者： Waskasi, M. Yaghoubi Yazdanpanah, M.J. Yazdani, N. Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran P.O. Box: 14395/515 Tehran Iran

ISBN: (纸本)008045108X

Active Queue Management (AQM) applies a suitable control policy upon detecting congestion in networks. in this paper, an adaptive Proportional-Integral (PI) controller based on Artificial Neural Networks (ANN) is applied to AQM for the objective of congestion avoidance and control in middle nodes. The proposed controller is simple and can be easily implemented in high-speed routers. Neural Network PI (NNPI) dynamically adapts its parameters with respect to changes in the system. It is anticipated that this results in better response compared to linear controllers due to the nonlinear nature of NNPI. We simulated our method in ns2 and compared its performance with the conventional PI controller. The simulation results show NNPI yields better performance. Copyright © 2005 IFAC.

关键词： Neural networks

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A new approach to H∞ controller design with regional pole assignment

A new approach to H∞ controller design with regional pole a...

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

作者： Adhami-Mirhosseini, Aras Namaki-Shoushtari, Omid Yazdanpanah, Mohammad J. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran

ISBN: (纸本)0780391381

This paper addresses the design of state feedback H∞ robust controller that satisfies additional constraints on closed-loop poles location. Desired closed-loop poles location is considered to be a clipped sector, corresponding to some performance specifications such as suitable settling time and overshoot. In order to solve the H∞ optimization problem with two Lyapunov constraints, the Lagrange multiplier is used. It is shown that the appropriate controller is characterized by three coupled Algebraic Riccati Equations. The validity and applicability of this approach are illustrated by two benchmark examples and the results are compared with those of the conventional H∞ control problem and related works. © 2005 IEEE.

关键词： Closed loop control systems

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Locally constrained optimal and globally stable backstepping design

Locally constrained optimal and globally stable backstepping...

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作者： Adhami, A. Yazdanpanah, M.J. Department of Electrical and Computer Engineering Control and Intelligent Processing Center of Excellence University of Tehran P.O.Box:14395/515 Tehran Iran

ISBN: (纸本)008045108X

Robust nonlinear controller design with constraint on the poles' location of the linear part of closed-loop system is proposed. The design method is based on the integrator backstepping procedure and linear constrained H ∞ for nonlinear strict-feedback systems with disturbance also in strict-feedback form. The resulted closedloop system will be globally stable, while both local robustness and desired α-stability are achieved. An analytic example is used to compare the performance of the proposed methodology with that of the locally optimal backstepping design with no closed-loop poles constraint. Copyright © 2005 IFAC.

关键词： Poles

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Designing a linear controller for polynomial systems with the largest domain of attraction via LMIs

Designing a linear controller for polynomial systems with th...

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

作者： Bakhtiari, R. YazdanPanah, M.J. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/5 Tehran Iran

ISBN: (纸本)0780391381

The problem of designing a linear controller for nonlinear polynomial systems that results the largest domain of attraction is considered. Moreover, using the proposed algorithm, the shape of the approximation of domain of attraction can be defined, due to importance and change of different states of system. To compute the estimate of the region of attraction, a Lyapunov function has been used. The designing problem involves solving a double non-convex optimization problem, which can be changed to a semi-convex optimization problem, via Linear Matrix Inequalities (LMI). © 2005 IEEE.

关键词： control systems

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