neural network-based control scheme
Implementation of Neural network based Control Scheme for Capacitor Voltage balancing of a Diode clamped inverter
... This paper has proposed a new configuration to balance the dc-link capacitor voltages of the five-level diode- clamped inverter with Neural Network based controller. Connecting a TLBC at the input of ...
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Fpga realization of rbf neural network based transformer impulse fault classification scheme
... industrial control systems is covered in (Eric Monmasson and Marcian ...FPGA based Induction motor failure monitoring embedded system is presented in (Rodriguez-Donate et ...classification scheme ...
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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control ...the network using the Levenberg-Marquardt ...predictive ...
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Congestion Control Analysis in Network: A Literature Survey
... Congestion Control scheme based on back-propagation neural network technique is used to designing an efficient congestion controller and solving the problem of disparity between the ...
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Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic pharmacodynamic model
... Model Control (IMC) philosophy relies on the Internal Model Principle, which states that control can be achieved only if the control system encapsulates, either implicitly or explicitly, some ...
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An improved DTC of an induction motor drive with neural network controller
... modulation based direct torque Control strategy is suggested and an intelligence controller design based on this strategy is ...A neural network controller is proposed to replace the ...
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Self-Tuning Pid Neural Network Controller to Control Nonlinear Ph Neutralization in Waste Water Treatment
... PID control (linear) is popular control scheme that is used in almost pH control at waste water treatment ...PID scheme is performed handle pH by training a neural-network ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... where B (i) specifies the approximation of the inverse Hessian and G[U (i) (t)] is the gradient of the J with respect to the control inputs. In QN algorithm, the inverse Hessian is approximated directly from cost ...
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PSO based neuro fuzzy sliding mode control for a robot manipulator
... SMC. Neural networks (NNs), Fuzzy logic and Neuro-fuzzy are combined with SMC and used in non-linear, time variant and uncertain ...A neural network based sliding mode adaptive control ...
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Design of a nonlinear self tuning parameters algorithm for different types of PID controllers based on artificial intelligent
... proposed scheme of the on-line self-tuning control algorithm is based on neural network and PSO algorithm to make both controllers are an on-line adaptive PID controllers by calculating ...
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Control objective : In this paper, an adaptive decoupled
... decoupled control scheme by using PID neural network for a class of nonlinear ...proposed based on the Lyapunov stability theorem, this guarantees the stability of closed-loop ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... predictive control based direct neural controllers represent another class of computer application in the field of non-linear ...or neural networks can be used as parameterized nonlinear ...
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An Adaptive Neural Network Control Scheme for Stabilizing Chaos to the Stable Fixed Point
... defined. Based on the stability region, a look- up table has been built to determine the target stable fixed point for a chosen chaoticity ...NN scheme, weight parameters are ad- justed so that the chaotic ...
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... years, control for uncertain nonlinear systems has aroused widespread interests about it ...Since neural networks and fuzzy logic are universal approximators, the adaptive control schemes of ...
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Underwater Glider Motion Control Based on Neural Network
... the neural network model build insection 4, select the parameters, battery position and oil mass, as the equilibrium ...motion control and glider’s ...the neural network model build in ...
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FAIR: A Fuzzy ART Network Based Scheme for Retrieving Useful Information from Blogs
... Before implanting Fuzzy ART network, we need to determine the vigilance parameter ( ρ ) to control the degree of similarity of patterns placed on the same cluster. The optimal setting of vigilance parameter ...
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Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... controller based on GA has been proposed to control NCS with packet dropouts in controller-actuator path and has compensated adverse influences of packet dropouts in ...the control object ...SMC ...
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AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE STREAMING NETWORK
... Neural Network is one of artificial methods which can be used for the nonlinear dynamic system ...4, Neural Network models include at least three layers which are input, hidden and output ...
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Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... of neural networks in literature re- search by Aston ...“the network can be taught to recognize individual writing styles, and the researchers used it to compare works attributed to Shakespeare and his ...
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An Effective Technique to reduce Total Harmonic Distortion in Distribution Network by using Neural Network
... SRF control algorithm Neural Network(NN) based Three level Cascaded Multi Level Inverter- DSTATCOM injects currents into the system in phase opposition to the harmonic currents generated by ...
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