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International Conference on control and Automation (ICCA)

作者： R. Bakhtiari M.J. YazdanPanah Control & Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

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 nonconvex optimization problem, which can be changed to a semiconvex optimization problem, via linear matrix inequalities (LMI).

关键词： control systems Polynomials Lyapunov method Stability Algorithm design and analysis Shape Symmetric matrices Nonlinear control systems Design optimization Nonlinear systems

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Fuzzy contributive games: an extension to the game of civic duty

Fuzzy contributive games: an extension to the game of civic ...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： A. Danak A.R. Kian Control and Intelligent Processing Center for Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Game theory deals with decision-making processes involving two or more parties with partly or completely conflicting interests. The players involved in the game usually make their decisions under conditions of risk or uncertainty. In this paper, an idea of nondeterministic payoffs is proposed and optimization is done in a more realistic fuzzy environment, helping each player describe his goal functions by using the linguistic variables. Since fuzzy numbers represent uncertain numeric values, their substitution for traditional crisp payoff values is described and their application is surveyed for a specific sample of contributive games - the game of civic duty. A closed formulation is developed for a vast general class of vague payoffs

关键词： Game theory Decision making Fuzzy sets Process control Intelligent control Uncertainty Cost function Probability distribution Artificial intelligence

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A fuzzy approach to modeling the knowledge of decision-makers

A fuzzy approach to modeling the knowledge of decision-maker...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： A. Danak F. Rastegar A.R. Kian Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

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

关键词： Game theory Fuzzy sets Uncertainty Application software Process control Intelligent control Decision making History Books Operations research

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Network routing based on reinforcement learning in dynamically changing networks

Network routing based on reinforcement learning in dynamical...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： S. Khodayari M.J. Yazdanpanah Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper we propose a reinforcement learning (RL) algorithm for packet routing in computer networks with emphasis on different traffic conditions. It is shown that routing with an RL approach, considering the traffic, can result in shorter delivery time and less congestion. A simple, but rational simulation of a computer network has also been tested and the suggested algorithm has been compared with other conventional ones. At the end, it is concluded that the suggested algorithm can perform packet routing efficiently with advantage of considering the dynamics in a real network

关键词： Routing Learning Intelligent networks computer networks Traffic control Communication system traffic control Artificial intelligence Telecommunication traffic computational modeling computer simulation

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A new approach to H/sub /spl infin// controller design with regional pole assignment

A new approach to H/sub /spl infin// controller design with ...

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International Conference on control and Automation (ICCA)

作者： A. Adhami-Mirhosseini O. Namaki-Shoushtari M.J. Yazdanpanah Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

This paper addresses the design of state feedback H/sub /spl infin//, 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/sub /spl infin// 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/sub /spl infin// control problem and related works.

关键词： State feedback Riccati equations Constraint optimization Uncertainty Stability Output feedback Attenuation Robust control Lagrangian functions Design optimization

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A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS PI

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IFAC Proceedings Volumes 2005年第1期38卷 1-6页

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

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.

关键词： Neural Networks Queuing Network Models Nonlinear Systems computer Networks PI controllers

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Path-following Approach to control Effort Reduction of Tracking Feedback Laws

Path-following Approach to Control Effort Reduction of Track...

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IEEE Conference on Decision and control

作者： D.B. Dacic M.V. Subbotin P.V. Kokotovic Department of Electrical and Electronic Engineering University of Melbourne VIC Australia Center for Control Dynamic Systems and Computation University of California Santa Barbara CA USA

We develop a path-following algorithm for redesign of tracking feedback laws to reduce the control effort. Our algorithm provides a tradeoff between the control effort and the dynamic performance along the path, while maintaining the desired convergence to the path. It is applicable to feedback linearizable systems with stable zero dynamics. We illustrate it on a realistic hovercraft model, and compare the resulting control effort with control efforts of other path-following and tracking algorithms.

关键词： Vehicle dynamics Convergence control systems Motion control State feedback Motion measurement Vehicles Airplanes Robots Tracking

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Education and research challenges in parallel computing

Education and research challenges in parallel computing

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5th International Conference on computational Science, ICCS 2005

作者： Scott, L. Ridgway Clark, Terry Bagheri, Babak The Institute for Biophysical Dynamics Computation Institute Departments of Computer Science and Mathematics The University of Chicago ChicagoIL60637 United States Department of Electrical Engineering and Computer Science and Information & Telecommunication Technology Center The University of Kansas LawrenceKS66045 United States PROS Revenue Management 3100 Main Street HoustonTX77002 United States

ISBN: (纸本)9783540260431

Over three decades of parallel computing, new computational requirements and systems have steadily evolved, yet parallel software remains notably more difficult relative to its sequential counterpart, especially for fine-grained parallel applications. We discuss the role of education to address challenges posed by applications such as informatics, scientific modeling, enterprise processing, and numerical computation. We outline new curricula both in computational science and in computer science. There appear to be new directions in which graduate education in parallel computing could be directed toward fulfilling needs in science and industry. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Application programs

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Reference command tracking for a linearized model of an air-breathing hypersonic vehicle

Reference command tracking for a linearized model of an air-...

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AIAA Guidance, Navigation, and control Conference 2005

作者： Groves, Kevin P. Sigthorsson, David O. Serrani, Andrea Yurkovich, Stephen 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 Department of Electrical and Computer Engineering 2015 Neil Ave Columbus OH United States AFRL VACA 2210 Eighth St. United States

ISBN: (纸本)1563477378

The focus of this paper is on control design and simulation for an air-breathing hypersonic vehicle. The challenges for control design in this class of vehicles lie in the inherent coupling between the propulsion system, and the airframe dynamics, and the presence of strong flexibility effects. Working from a highly nonlinear, dynamically-coupled simulation model, control designs are presented for velocity, angle-of-attack, and altitude command input tracking for a linearized version of a generic air-breathing hypersonic vehicle model linearized about a specific trim condition. control inputs for this study include elevator deflection, total temperature change across the combustor, and the diffuser area ratio. Two control design methods are presented, both using linear quadratic techniques with integral augmentation, and are implemented in tracking control studies. The first approach focuses on setpoint tracking control, whereas in the second, a regulator design approach is taken. The effectiveness of each control design is demonstrated in simulation on the full nonlinear model of the generic vehicle. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Hypersonic aerodynamics

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Reduced-order model-based feedback controller design for subsonic cavity flows

Reduced-order model-based feedback controller design for sub...

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43rd AIAA Aerospace Sciences Meeting and Exhibit

作者： Yuan, X. Caraballo, E. Yan, P. Özbay, H. Serrani, A. DeBonis, J. Myatt, J.H. Samimy, M. Collaborative Center of Control Science Ohio State University United States Department of Electrical and Computer Engineering Department of Mechanical Engineering United States Bilkent Univ. Dept. of Electrical and Electronics Eng. Ankara Turkey NASA Glenn's Quiet Aircraft Technology Program United States Air Force Research Laboratory Air Vehicles Directorate WPAFB United States

This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.

关键词： Subsonic flow

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