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ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05

作者： Danak, Amir Rastegar, Farzad Kian, Ashkan Rahimi Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)0769524885

A game is a decision-making situation in which each player attempts to act in such a way that the game's circumstances get close to what desirable for him. To reach this goal, a player needs to have a suitable estimation of the other players' decisions. In this paper we propose a fuzzy approach by which a player can attain an estimation of the other players' actions and pursue a strategy which maximizes its performance. Finally, the results of applying the proposed approach to the well-known "prisoner's dilemma" problem are brought to show the effectiveness of the method © 2005 IEEE.

关键词： Game theory

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Speeding up top-down attention control learning by using full observation knowledge

Speeding up top-down attention control learning by using ful...

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2009 IEEE International Symposium on computational Intelligence in Robotics and Automation, CIRA 2009

作者： Noori, N. Nili Ahmadabadi, M. Mirian, M.S. Araabi, B.N. Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

We present a general mathematical description of the top-down attention control problem. Three important components are identified in the model: context extraction, attention focus and decision making. The context gives a coarse blurry representation of the whole input;the attention module models the focus of attention on a limited part of input, and the decision making component accounts the final decision of the agent for its motory actions. In order to achieve a faster convergence of attention learning in the online phase, an offline optimization step is performed in advance. To do so, we incorporate the knowledge of a full observer agent that has approximately learned the optimal decision making of the task. The simulation results show that by employing our algorithm, the learning speed is improved.

关键词： Decision making

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GROUP CONSENSUS FOR MULTIPLE NETWORKED EULER-LAGRANGE SYSTEMS WITH PARAMETRIC UNCERTAINTIES

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Journal of Systems Science & Complexity 2014年第4期27卷 632-649页

作者： HU Hongxiang ZHANG Zhe YU Li YU Wenwu XIE Guangming Department of Mathematics Hangzhou Dianzi University Zhejiang Provincial United Key Laboratory of Embedded Systems Department of AutomationZhejiang University of Technology Department of Mathematics Southeast University School of Electrical and Computer Engineering RMIT University Faculty of Engineering King Abdulaziz University Center for Systems and Control State Key Laboratory of Turbulence and Complex SystemsCollege of EngineeringPeking University

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.

关键词： Euler-Lagrange system group consensus multi-agent systems switching topologies.

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Unit commitment by selective self-adaptive ACO with relativity pheromone updating approach

Unit commitment by selective self-adaptive ACO with relativi...

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IPEC 2007 Meeting

作者： Chusanapiputt, Songsak Nualhong, Dulyatat Jantarang, Sujate Phoomvuthisarn, Sukumvit Department of Electrical Power Engineering Faculty of Engineering Mahanakorn University of Technology Thailand Electrical Engineer Department Electrical and Control System Engineering Division Electricity Generating Authority of Thailand (EGAT) Department of Computer Engineering Faculty of Engineering Mahanakorn University of Technology Thailand Center of Excellence in Electrical Power Technology Faculty of Engineering Chulalongkorn University Thailand IEEE

ISBN: (纸本)9789810594237

This paper presents a novel approach to solve the constrained unit commitment problem using the Selective Self-Adaptive Ant Colony Optimization (SSACO) for improving search performance by automatically adapting ant populations and their transition probability parameters, which cooperates with the Candidate Path Management Module (CPMM) and the Effective Repairing Heuristic Module (ERHM) in reducing search space and recovering a feasible optimality region so that a high quality solution can be acquired in a very early iterative. A new concept of the Relativity Pheromone Updating (RPU) is also introduced to provide a reasonable evaluation of the pheromone trail intensity among the agents. The proposed SSACO method not only enhances the convergence of search process, but also provides a suitable number of the population sharing which conducts a good guidance for trading-off between the importance of the visibility and the pheromone trail intensity. The proposed method has been performed on a test system up to 100 generating units with a scheduling time horizon of 24 hours. The numerical results show the most economical saving in the total operating cost when compared to the previous literature results. Moreover, the proposed SSACO topology can remarkably speed up the computational time of ant colony optimization, which is favorable for a large-scale UC problem implementation.

关键词： Ant Colony Optimization unit commitment problem optimization method

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Metal-dielectric-metal plasmonic waveguide devices for manipulating light at the nanoscale

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Chinese Optics Letters 2009年第4期7卷 302-308页

作者： Georgios Veronis Zongfu Yu Sukru Ekin Kocaba David A. B. Miller Mark L. Brongersma Shanhui Fan Department of Electrical and Computer Engineering and Center for Computation and Technology Louisiana State University Baton Rouge LA 70803 USA Ginzton LaSoratory Stanford University Stanford CA 94305 USA GeSalle LaSoratory of Advanced Materials Stanford University Stanford CA 94305 USA

We review some of the recent advances in the development of subwavelength plasmonic devices for manipulating light at the nanoseale, drawing examples from our own work in metal-dielectric-metal （MDM） plasmonic waveguide devices. We introduce bends, splitters, and mode converters for MDM waveguides with no additional loss. We also demonstrate that optical gain provides a mechanism for on/off switching in MDM plasmonic waveguides. Highly efficient compact couplers between dielectric waveguides and MDM waveguides are also introduced.

关键词： Metals Multiplexing Nanotechnology Optical waveguides Plasmons Waveguide components Waveguides

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GPS-WAAS static error analysis using wavelet decomposition and spectral estimation

GPS-WAAS static error analysis using wavelet decomposition a...

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18th International Technical Meeting of the Satellite Division of The Institute of Navigation, ION GNSS 2005

作者： Dyer, J.W. DeBrunner, V.E. McCartor, G. Fagan, J.E. Department of Electrical and Computer Engineering University of Oklahoma FAA AFS-440 University of Oklahoma Norman School or Electrical and Computer Engineering Center for Structural Control and Vibration Research College of Engineering FAA OU Department of Aviation

The residual error in the WAAS solution contains low frequency elements that reduce the accuracy of the vertical navigation during flight tests of precision approaches conducted at The University of Oklahoma. In an effort to determine if the WAAS-enabled GPS solution can be improved, the character of the errors was first determined. Static position error data from ten, geographically diverse, WAAS reference stations were initially collected continuously over the period of a month. A primary step in identifying the sources of error was to evaluate the spectral (periodic) content of the error signal. However, characterizing the spectral content of the error signal presents problems due to the extremely high sampling rate relative to the extremely slow periods of interest in the error signal. The WAAS signal was sampled at 1 Hz, yet the periods of interest are on the order of 10-5 Hz. Using our proposed method for extracting the near DC frequency content, it is shown that the WAAS residual error primarily contains periodic elements on the order of 6, 12, and 24 hours, which correspond to frequencies of approximately 4.6x10-5, 2.3x10-5, and 1.2x10-5 Hz, respectively. These results were consistent across the disparate geographic regions represented by the data set. Due to this, we think it unlikely that multi-path is responsible for these slow, periodic components in the residual error signal. Therefore, it is likely the periodic elements of the error signal are due primarily to the ionosphere.

关键词： Ground penetrating radar systems

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A stable nonlinear in parameter neural network controller for a class of saturated nonlinear systems 19

A stable nonlinear in parameter neural network controller fo...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Esfandiari, K. Abdollahi, F. Talebi, H.A. Center of Excellence on Control and Robotics Department of Electrical Engineering AmirKabir University of Technology Tehran Iran Department of Electrical and Computer Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783902823625

This paper deals with the tracking problem for a class of uncertain nonlinear systems subjected to actuator saturation constraint. Despite most of proposed control schemes for saturated systems which employed linear in parameter neural networks (LPNNs), in the present work nonlinear in parameter neural network (NLPNN) is introduced to support global approximation property. To compensate the effect of the input saturation constraint an auxiliary system is introduced and the error dynamics are modified based on the auxiliary states. Then, learning rules are achieved based on the back propagation (BP) algorithm and by adding two robustifying terms to the standard BP learning rules the stability of the overall system is ensured via Lyapunov direct method. Finally simulations performed on a "generalized pendulum" nonlinear system to illustrate the effectiveness of the proposed tracking control scheme. © IFAC.

关键词： Adaptive control systems

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Formulation and Numerical Solution for Fractional Order Time Optimal control Problem Using Pontryagin's Minimum Principle

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IFAC-PapersOnLine 2017年第1期50卷 9224-9229页

作者： Tabatabaei S.S. Yazdanpanah M.J. Tavazoei M.S. Electrical Engineering Department Amirkabair University of Technology (Tehran Polytechnic) Tehran Iran Control & Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Electrical Engineering Department Sharif University of Technology Tehran Iran

The main purpose of this paper is to use variational calculus and Pontryagin's minimum principle to propose a solution scheme for time optimal control problem stated on the fractional systems defined in the sense of Caputo. After deriving the necessary optimality conditions, a novel numerical solution is used to solve the problem. Afterwards, a simple case study shows the effectiveness of the proposed method. © 2017

关键词： Non-integer Order Calculus Pontryagin's Minimum Principle Time Optimal control Variational Calculus

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Pursuit formation control scheme for double-integrator multi-agent systems 19

Pursuit formation control scheme for double-integrator multi...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Rezaee, Hamed Abdollahi, Farzaneh Center of Excellence on Control and Robotics Department of Electrical Engineering AmirKabir University of Technology Tehran Iran Department of Electrical and Computer Engineering Concordia University MontrealQC Canada

ISBN: (纸本)9783902823625

Pursuit formation control of double-integrator Multi-Agent Systems (MASs) is considered in this paper. To achieve a formation, a hierarchical control scheme is proposed in two layers. In the first layer, in a leaderless architecture, each agent pursues another one in a cyclic topology to achieve a regular polygon formation around a centroid, namely, pursuit centroid, and in the second layer, the agents agree on a pursuit centroid around which they pursue each other. Despite existing cyclic pursuit approaches in the literature which are based on agents with kinematic models and constant forward speeds, the proposed approach is based on agents with double-integrator dynamics without speed constraints. Numerical simulations for a team of six agents confirm the accuracy of the proposed control scheme. © IFAC.

关键词： Multi agent systems

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Hybrid systems with memory: Modelling and stability analysis via generalized solutions 19

Hybrid systems with memory: Modelling and stability analysis...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Liu, Jun Teel, Andrew R. Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

ISBN: (纸本)9783902823625

Hybrid systems with memory are dynamical systems exhibiting both hybrid and delay phenomena. We present a general modelling framework for such systems using hybrid functional inclusions, whose generalized solutions are defined on hybrid time domains and evolve in the phase space of hybrid memory arcs equipped with the graphical convergence topology. We prove a general existence result based on some basic conditions on the data of hybrid systems. We further establish sufficient conditions for the stability analysis of hybrid systems with memory using Lyapunov-Razumikhin (L-R) functions. We demonstrate the stability results on a general nonlinear system with switching dynamics and state jumps. © IFAC.

关键词： System stability

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