With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing al...
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With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing algorithms like fuzzy logic, learning automata, evolutionary algorithms, etc. In this paper we discuss the fusion of these soft-computing methodologies and existing tools for discrete event simulation (DEVS) for multi-agent simulation. We propose a methodology for combining the agent-based architecture, discrete event system and soft-computing methods in the simulation of multi-agent robotics and network security system. We also define a framework called Virtual Laboratory (V-Lab/spl reg/) for multi-agent simulation using intelligent tools.
The objective of this paper is to briefly discuss the goal seeking with obstacle avoidance behavior (GSOA) for mobile robots. Hardware and software implementation using the Pioneer DX robot is also discussed. The deta...
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The objective of this paper is to briefly discuss the goal seeking with obstacle avoidance behavior (GSOA) for mobile robots. Hardware and software implementation using the Pioneer DX robot is also discussed. The detailed implementation of the MATLAB code with Visual C++ is also provided which is the underlying methodology for the software developed
Design of an optimal nonlinear state feedback voltage regulator for power systems is proposed in this paper. In order to obtain the nonlinear control law the Hamilton-Jacobi-Belman (HJB) equation is solved using Taylo...
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Design of an optimal nonlinear state feedback voltage regulator for power systems is proposed in this paper. In order to obtain the nonlinear control law the Hamilton-Jacobi-Belman (HJB) equation is solved using Taylor series expansion of its nonlinear terms. The performance of the proposed controller in a single machine-infinite bus power system is simulated and the advantages of the nonlinear feedback controllers in some grounds like increasing the fault tolerance and domain of validity of the close-loop system are investigated. Also, the advantages of the proposed controller in the presence of some disturbances are shown. Simulation results reveal the effectiveness of the proposed controller.
The single cell gel electrophoresis, called Comet Assay is a microelectrophoretic technique of direct visualization of DNA damage at the cell level. In the comet assay, the cells suspended in an agarose gel on a micro...
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In this paper, the overvoltage on a transformer terminated at a transmission line through a cable is considered. Also, the effects of the length and size of the cable on the amplitude of overvoltage and its harmonics ...
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In this paper, the overvoltage on a transformer terminated at a transmission line through a cable is considered. Also, the effects of the length and size of the cable on the amplitude of overvoltage and its harmonics are investigated. Simulations are performed using EMTP and their results show the longer cable the less amplitude of overvoltage on the terminal of the transformer.
In this paper, a simple neuro-controller for power systems is presented. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s -domain, its parameters...
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In this paper, a simple neuro-controller for power systems is presented. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s -domain, its parameters can be obtained analytically to ensure system stability. Results of simulation studies on a nonlinear third order generator model with the proposed neuro-controller using calculated parameters are given. Results of simulation studies demonstrate the effectiveness of this simple neuro-controller.
In this work we apply the new noise reduction method for the enhancement of the images of gene chips. We demonstrate that the new technique is capable of reducing various kinds of noise present in microarray images an...
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A sliding mode controller is employed to improve the robust performance of the position control of an induction motor in response to mechanical parameter uncertainty or load torque variations. In this paper a discrete...
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A sliding mode controller is employed to improve the robust performance of the position control of an induction motor in response to mechanical parameter uncertainty or load torque variations. In this paper a discrete-time sliding mode controller is proposed for an indirect-vector controlled induction motor. Using the proposed controller, the position control of an induction motor is designed and the effects of the parameter uncertainty and the load torque variations on the performance of the controller are investigated. Simulation results reveal the effectiveness of the proposed controller.
In this paper, we provide and analyze a sigmoidal optimization of a recently developed class of weighted vector directional filters (WVDFs) outputting the input multichannel sample associated with the minimum sum of w...
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In this paper a new method of impulsive noise reduction in microarray images is presented. The new technique is capable of attenuating impulsive noise, while preserving the sharpness of the image edges. Extensive simu...
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