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.
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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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 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 vector generalization of weighted median optimization approaches is provided. The proposed optimized weighted vector median filters utilize the relationship between standard median filter and vector m...
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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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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 give a sufficient condition (in terms of an LMI) for the well-posedness of a feedback interconnection between a linear system and an incrementally sector bounded static nonlinearity. In particular, we...
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In this paper we give a sufficient condition (in terms of an LMI) for the well-posedness of a feedback interconnection between a linear system and an incrementally sector bounded static nonlinearity. In particular, we prove the global invertibility of the algebraic constraint arising from the feedback interconnection and prove a suitable Lipschitz bound for the arising global inverse function. We also comment on the useful ramifications of the proposed condition on LMI- based anti-windup synthesis methods recently proposed in the literature, wherein possible numerical problems arising from solutions which are "almost" non well-posed are ruled out by enforcing a suitable Lipschitz constant on the inverse function.
A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two types of memory called as short Term Memo...
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ISBN:
(纸本)0780377362
A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two types of memory called as short Term Memory and Long Term Memory. In particular, to cope with delayed-reward problem, a knowledge-propagation (KP) method is proposed, where well-designed or well-trained S-R(stimulus-response) associations for low-level sensors are utilized to learn new S-R associations for high-level sensors, in case that those S-R associations require same objective such as obstacle avoidance. To show the validity of our proposed KP method, comparative experiments are performed for the cases that:(1) only a delayed reward is used, (2) some of S-R pairs are preprogrammed, (3) immediate reward is possible, and (4) our KP method is applied.
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