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Evolution of a multi-agent system with distributed multi-level memory

Evolution of a multi-agent system with distributed multi-lev...

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IEEE Conference on Cybernetics and intelligent Systems

作者： B. Tavassoli C. Lucas Control and Intelligent Processing Center of Excellence Department of ECE University of Tehran Tehran Iran

Conceptually, one of the important applications of evolutionary algorithms is in the field of multiagent systems. But the agents can not always act as the members of an evolutionary algorithm generation and elaborated solutions for mapping these different concepts are needed. In this paper a memory-like structure is proposed for the agents to increase the efficiency of an evolving multiagent system. Then the idea is applied to a group of mobile robots for object displacement where simulation results show the efficiency of the proposed idea.

关键词： Multiagent systems Evolutionary computation Genetic algorithms Mobile robots Process control intelligent control control systems Genetic programming Path planning control design

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On designing a reduced-order fuzzy observer

On designing a reduced-order fuzzy observer

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8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence

作者： Moshiri, Behzad Besharati, Farhad Tafti, Abdrreza Dehghani Bitaghsir, Ali Akhavan Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran Islamic Azad University Science and Research Branch Tehran Iran

In this paper, a method for designing reduced-order fuzzy observers for systems expressed in Takagi-Sugeno fuzzy model is proposed. © Springer-Verlag Berlin Heidelberg 2004.

ISBN: (纸本)3540228179

In this paper, a method for designing reduced-order fuzzy observers for systems expressed in Takagi-Sugeno fuzzy model is proposed. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy sets

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Sensorless speed control of induction motor derives using a robust and adaptive neuro-fuzzy based intelligent controller

Sensorless speed control of induction motor derives using a ...

引用

IEEE International Conference on Industrial Technology (ICIT)

作者： F. Rashidi Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Iran

In this paper a novel sensorless adaptive neurofuzzy speed controller for induction motor derives is formulated. An artificial neural network (ANN) is adopted to estimate the motor speed and thus provide a sensorless speed estimator system. The performance of the proposed adaptive neurofuzzy speed controller is evaluated for a wide range of operating conditions for induction motor. These include startup, step changes in reference speed, unknown load torque and parameters variations. Obtained results show that the proposed ANN provides a very satisfactory speed estimation under the above mentioned operation conditions and also the sensorless adaptive neurofuzzy speed controller can achieve very robust and satisfactory performance and could be used to get the desired performance levels. The response time is also very fast despite the fact that the control strategy is based on bounded rationality.

关键词： Velocity control Induction motors Robust control Programmable control Adaptive control intelligent sensors Sensorless control Artificial neural networks Artificial intelligence Torque

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Power system transient stabilization and voltage regulation based on simple neuron structure

Power system transient stabilization and voltage regulation ...

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International Conference on Mechatronics (ICM)

作者： R. Mohammadi-Milasi P. Jabehdar-Maralani Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran

A global power system transient stabilizer and voltage regulator based on a simple neuron structure is proposed in this paper. Two independent controllers i.e. transient controller and voltage regulator are designed. To this end, a simple structure controller that consists of only one neuron is used. The proposed neuro-controller does not need any offline training and the parameters can be determined on-line. To achieve the global control action that guarantees both transient stability and voltage regulation, we used a membership function that was a function of measurable parameters of the system. The proposed global control law acts in a manner in which in the transient period, the transient stabilizer is the dominant controller and in the post transient period, the voltage controller is the dominant one. The effectiveness of the proposed global control action is demonstrated through some computer simulations on a single machine infinite-bus (SMIB) power system.

关键词： Power system transients Voltage control Neurons Regulators control systems Stability Computer simulation Power system simulation Power system control Power systems

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A novel low chattering sliding mode controller

A novel low chattering sliding mode controller

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Asian control Conference

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

The purpose of this paper is to design a high performance sliding mode controller through the use of a new switching function. This method uses the idea of boundary layer sliding mode while taking the boundary layer width as a function of the angle between the state trajectory and the sliding surface which we call approach angle. By incorporating the approach angle into the switching function, the overall sliding mode controller guarantees the asymptotical stability of the system while having only a slight amount of chattering. This method overcomes the shortcomings of a pure discontinuous switching such as excessive chattering, while maintaining its benefit that is the asymptotical stability is guaranteed. The proposed method is used to control an inverted pendulum. It is also compared with a pure switching function. Simulation results show that the new sliding mode controller has good control performance with negligible chattering.

关键词： Sliding mode control Asymptotic stability control systems Closed loop systems Robust control Linear approximation Piecewise linear approximation Robustness intelligent control control system synthesis

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Speed control of an interior permanent magnet synchronous motor using belbic (brain emotional learning based intelligent controller)

Speed control of an interior permanent magnet synchronous mo...

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Proceedings of the Biannual World Automation Congress

作者： R. Mohammdi-Milasi C. Lucas B. Nadjar-Arrabi Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran and School of Cognitive Sciences (SCS) Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Coinputer Enginecring University of Tehran and School of Cognitive Scienccs (SCS) Tehran Iran

Among ac drives, the permanent magnet synchronous motor has been gaining popularity owing to its high torque to current ratio, large power to weight ratio, high efficiency, high power factor and robustness. Because of its technical and economic advantages, Permanent Magnet Synchronous Motor drive technology is a serious contender for replacing the existing technologies. In this paper we report the utilization of a novel controller (BELBlC) based on emotion processing mechanism in brain. Our results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. Our proposed method enables the designer to shape the response in accordance with the multiple objectives of his/her choice.

关键词： Velocity control Permanent magnet motors Torque control Rotors AC motors Machine vector control Synchronous motors Process control Magnetic materials control theory

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A new approach to commutation in predictive control of switch reluctance motor

A new approach to commutation in predictive control of switc...

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IEEE International Conference on Industrial Technology (ICIT)

作者： A. Sadeghzadeh B.N. Araabi Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

This paper provides a model predictive approach to control switched reluctance motors (SRM's). A local linear neuro-fuzzy model is used to model SRM. Then a predictive control schema is devised considering an appropriate energy term in the optimization phase. Commutation occurs naturally as an outcome of the predictive control design process, not as an extra step added to the control policy. From a computational view point, we use locally linear model predictive control that with a quadratic cost and linear constraints reduces to a simple quadratic program, which can be solved very fast in a closed form. Simulation studies justify applicability of our proposed method to SRM applications.

关键词： Switches Commutation Predictive control Reluctance motors Predictive models Reluctance machines Magnetic materials Photonic crystals Costs Strontium

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A distributed deterministic help scheme to improve the system fault tolerance

A distributed deterministic help scheme to improve the syste...

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Proceedings of the Biannual World Automation Congress

作者： M.S. Mirian M.N. Ahmadabadi Control and Intelligent Processing Center of Excellence and AI and Robotics Laboratory Department of ECE University of Tehran Iran

This paper proposes some methods to improve the fault-tolerance in distributed systems specifically in deterministic situations by distributed decision-making and coordination. Providing a distributed system with fault tolerance is a feasible but hard problem due to the intrinsic aspects of such systems such as: independency, unpredictability and communication problem. A multi-agent system as an instance of distributed system, can handle different kinds of fault by using traditional fault tolerance techniques. But what focused in this paper are agent-based techniques. In fact proposed methods are based on agent-based help provision by distributed cooperation among helper agents. The helpers try to tune their normal roles such that they can undertake the faulty agents' tasks too. These helpers go through a sub-optimal task selection algorithm, to decide whom to help. It is important to remark that there is no explicit interaction; instead they coordinate their decisions implicitly by adopting the most appropriate task in terms of their speed, relative reliability and the task's criticality coefficient. Proposed ideas are tested on a DCS-like tested to improve its fault tolerance. The results illustrate the effectiveness of the approaches in comparison to the case of no help situation and the case of using purely redundant components.

关键词： Fault tolerant systems Multiagent systems control systems Distributed decision making Redundancy Power system reliability Process control intelligent control Artificial intelligence Testing

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A novel controller for a power system based belbic (brain emotional learning based intelligent controller)

A novel controller for a power system based belbic (brain em...

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Proceedings of the Biannual World Automation Congress

作者： R. Mohammdi-Milasi C. Lucas B. Najar-Arrabi Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering School of Intelligent Systems (SIS) Institute for Studies in Theoretical Physics and Mathematics (IPM) University of Tehran Tehran Iran

In this paper we report the utilization of a novel controller (BELBIC) based un emotion processing mechanism in brain for power system. Using the BELBIC controller, both transient stability and voltage regulation of power systems are achieved. The special characteristic of this controller that makes it effective is its flexibility its five gain parameters that give good freedom for choosing favorite response. With this degree of freedom choosing of these parameters involves trade-off between overshoot and speed of response. The effectiveness of the proposed BELBIC controller is shown through some computer simulations on a (SMIB) power system.

关键词： control systems Power system control Power systems Power system stability Power system modeling Power system transients Power system faults Power system dynamics Voltage control Process control

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Robust H/sub /spl infin// congestion control in differentiated services networks

Robust H/sub /spl infin// congestion control in differentiat...

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International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

作者： M. Jalili-Kharaajoo Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

A robust active queue management system is designed to secure high utilization, bounded delay and loss, while the network complies with the demands each traffic class sets. To this end, we use the H/sub /spl infin// control theory. Simulation results of the proposed control action demonstrate the effectiveness of the controller in providing robust queue management system.

关键词： Robust control intelligent networks Diffserv networks Internet TCPIP Communication system traffic control Traffic control Protocols IP networks Streaming media

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