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Stabilization of sampled-data T-S fuzzy systems

Stabilization of sampled-data T-S fuzzy systems

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Systems and control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

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

ISBN: (纸本)0780393953

This paper investigates the problem of stabilization for a Takagi-Sugeno (T-S) fuzzy system with nonuniform uncertain sampling. The sampling is not required to be periodic, and the only assumption is that the distance between any two consecutive sampling instants is less than a given bound. By using the input delay approach, the T-S fuzzy system with variable uncertain sampling is transformed into a continuous-time T-S fuzzy system with a delay in the state. A new condition guaranteeing asymptotic stability of the closed-loop sampled-data system is derived by a Lyapunov approach plus the free weighting matrix technique. Based on this stability condition, two procedures for designing state-feedback control laws are given: one casts the controller design into a convex optimization by introducing some over design, and the other utilizes the cone complementarity linearization (CCL) idea to cast the controller design into a sequential minimization problem subject to linear matrix inequality (LMI) constraints, which can be readily solved using standard numerical software.

关键词： Lyapunov matrix equations asymptotic stability closed loop systems controllers convex programming fuzzy systems linear matrix inequalities minimisation state feedback Lyapunov approach Takagi-Sugeno fuzzy system asymptotic stability closed-loop sampled-d

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Optimal Reconfiguration of the Navy Ship Power System using Agents

Optimal Reconfiguration of the Navy Ship Power System using ...

引用

IEEE PES Transmission and Distribution Conference and Exposition

作者： Momoh Diouf Center for Energy Systems and Control Department of Electrical & Computer Engineering Howard University College of Medicine Washington D.C. DC USA

This paper is a study of the optimization of a configuration and reconfiguration problem applied to the navy ship power system presenting a redundant power distribution layout. The multiagent method has been applied in order to make the power system converge towards its optimal configuration in its initial start up and during normal operation when a reconfiguration is required. The optimal process has been achieved by the agents and the simulations have been conducted with different cases of operation mode of the navy ship. The optimal configurations were derived through a program written in C++ for the agents and the results confirm the feasibility of applying the multiagent method for optimizing the navy ship power system

关键词： Marine vehicles Power systems Circuit breakers Power system simulation Optimization methods Power system faults Circuit faults control systems Power distribution Load management

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Minimal fuel consumption of electric propulsion space vehicles for deep space exploration

Minimal fuel consumption of electric propulsion space vehicl...

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IEEE Conference on Aerospace

作者： B.B.R. Reddy A.C. Esterline A. Homaifar NASA Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agriculture and Technical State University NC USA

The objective of this research is to find a near optimal control strategy of an electric propulsion space vehicle to consume minimal fuel while traversing between two points in space. Micro genetic algorithms (GA) wit... 详细信息

关键词： Fuels Propulsion Space vehicles Space exploration Space technology Earth Optimal control Moon Planets NASA

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A Novel Way of Determining the Optimal Location of a Fragment in a DDBS: BGBR

A Novel Way of Determining the Optimal Location of a Fragmen...

引用

International Conference on Systems and Networks Communications (ICSNC)

作者： Ashkan Bayati Pedram Ghodsnia Maseud Rahgozar Reza Basseda Database Research Group University of Tehran Iran Database Research Group Intelligent Processing and Control Center of Excellence Faculty of Electrical and Computer Engineering School of Engineering University of Tehran Iran

This paper addresses the problem of determining the optimal location to place a fragment (object) in a distributed non-replicated database. The algorithm defined takes into consideration a changing environment with changing access patterns. This paper contributes by allocating data fragments to their optimal location, in a distributed network, based on the access patterns for that fragment. The mechanism for achieving this optimality relies on knowing the costs involved in moving data fragments from one site to the other. Embedded into the algorithm is a mechanism to prioritize fragments so that if there is a limited space on a specific node where many fragments are chosen to be allocated the ones with higher priority are placed before the lower priority fragments.

关键词： Database systems Counting circuits Data engineering Costs Heuristic algorithms System performance Intelligent control Deductive databases Process control Distributed databases

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Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network

Channel Assignment using Chaotic Simulated Annealing Enhance...

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International Joint Conference on Neural Networks (IJCNN)

作者： A.M. Farahmand M.J. Yazdanpanah Department of Computing Science University of Alberta Canada Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Channel assignment problem in cellular communication is a difficult combinatorial optimization problem. There is no exact polynomial-time solution for it and searching the whole solution space is infeasible for large problems. By defining the problem's cost function as the energy function of a chaotic Hopfield neural network, we devise a framework for finding competitive suboptimal or even optimal solutions for combinatorial optimization problem in general, and channel assignment problem in particular. In our architecture, we inject chaotic noise in order to help the network escape from local minima of the energy function while we enforce problem constraints by external inputs of neurons. Experimental results show the superiority of our method to other methods.

关键词： Chaos Simulated annealing Hopfield neural networks Chaotic communication Neurons Interference control engineering computing Process control Intelligent control Polynomials

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H∞ Model Reference control for Networked Feedback Systems

H∞ Model Reference Control for Networked Feedback Systems

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IEEE Conference on Decision and control

作者： Huijun Gao 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

ISBN: (纸本)1424401704

This paper is concerned with the problem of H ∞ model reference control for networked feedback systems. The physical plant and the controller are, respectively, in continuous time and discrete time. By using a sampled-data approach, a new model based on the updating instants of the zeroth-order hold (ZOH) is formulated, and a linear matrix inequality (LMI) based procedure is proposed for designing state-feedback controllers, which guarantee the output of the closed-loop networked control system tracks the output of a given reference model well in the H ∞ sense. An illustrative example is presented to show the usefulness and effectiveness of the proposed H ∞ output tracking design

关键词： control systems Networked control systems Space technology Feedback Linear matrix inequalities Biological control systems Biological system modeling Industrial control Communication system control USA Councils

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Implementation of Emotional controller for Interior Permanent Magnet Synchronous Motor Drive

Implementation of Emotional Controller for Interior Permanen...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： R. M. Milasi Caro Lucas B. N. Arrabi T.S. Radwan M. A. Rahman Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Tehran Iran Faculty of Engineering &Applied Science Memorial University of Newfoundland Saint John's NEW Canada

This paper presents for the first time the real-time implementation of an emotional controller for interior permanent magnet synchronous motor (IPMSM) drives. The proposed novel controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of BELBIC is based on emotion processing mechanism in brain, and is essentially an action, which is based on sensory inputs and emotional cues. The emotional learning occurs mainly in the amygdala. The amygdala is mathematically modeled, and the BELBIC controller is introduced. This type of controller is insensitive to noise and variance of the parameters. The controller is successfully implemented in real-time using a digital signal processor board ds1102 for a laboratory 1-hp IPMSM. The results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. The proposed method enables the designer to shape the response in accordance with the multiple objectives of choices

关键词： Permanent magnet motors AC motors Machine vector control Rotors Electric variables control control theory Magnetic materials DC motors Synchronous motors Velocity control

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Stability and stabilization of switched linear discrete-time systems with polytopic uncertainties

Stability and stabilization of switched linear discrete-time...

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American control Conference (ACC)

作者： Huijun Gao Lixian Zhang Peng Shi Shaoshuai Mou Changhong Wang Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China

In this paper, the problems of stability and stabilization of switched linear discrete-time systems with polytopic uncertainties are investigated. A switched parameter-dependent quadratic Lyapunov function is proposed, by which the stability conditions are derived and formulated in terms of a set of linear matrix inequalities. Based on the stability result, control synthesis is then considered and a stabilizing state-feedback controller is obtained by solving a convex optimization problem subject to linear matrix inequalities. Both mode-dependent and parameter-dependent ideas are used in stability analysis and controller design for the underlying systems. Numerical examples are given to show the less conservativeness and the potential of the obtained theoretic results

关键词： Stability Uncertainty Switched systems Lyapunov method control systems Space technology Linear matrix inequalities control system synthesis Uncertain systems Robust control

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An extended Markov model to determine the reliability of protective system

An extended Markov model to determine the reliability of pro...

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IEEE Power India Conference

作者： H. Seyedi M. Fotuhi M. Sanaye-Pasand School of Electrical and Computer Engineering University of Tehran Iran Sharif University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence University of Tehran Iran

In this paper a reliability model for power transformer protection is proposed. The model is an extension of a previously proposed Markov model for transmission line protection. Optimum routine test and self checking ... 详细信息

ISBN: (纸本)0780395255

关键词： Power system modeling Power system protection Digital relays Condition monitoring Power transformers Protective relaying Power system reliability Automatic testing Substation protection Power transmission lines

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Inner Supervision in Multi-Sensor Data Fusion Using the Concepts of Stackelberg Games

Inner Supervision in Multi-Sensor Data Fusion Using the Conc...

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International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Amir Danak Ashkan Rahimi Kian Behzad Moshiri Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran CIPCE School of ECE University of Tehran Iran

As a new means for data acquisition and fusion, mobile ad hoc sensor networks has been the focus of many researchers during the previous years. To enhance both the quality of service (QoS) and the network's robustness, the concept of mobility were introduced which gives the designer the capability of using various topologies to perform a certain task. This paper proposes a novel management idea for positioning of the sensor agents based on the concepts of Stackelberg games. It is explained that the new method lowers the cost of internal communication while eases the network description as well

关键词： Quality of service Network topology Sensor phenomena and characterization Hardware Kalman filters Intelligent sensors Intelligent systems Real time systems Centralized control Robust control

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