neural network based control strategy
A control of wind energy transformation systems via neural network
... a neural network-based adaptive control strategy for variable-velocity variable pitch wind energy transformation systems is ...is based on neural ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... predictive control (MPC) techniques have been recognized as efficient approaches to improve operating efficiency and ...complex control problems in the process ...the control of non-linear systems if ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... The neural network based model predictive control has been studied and investigated to control a batch extractive distillation column used for the separation of waste solvent mixture of ...
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Online Full Text
... of control system techniques that are based on nonlinear ...model based control ...Since neural networks have the ability to model any nonlinear system including their inverses and ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... Model-based control strategies, NNMPC and INNC, have been proposed and applied with the optimization based on NN-based hybrid model to control the temperatures in the purified ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... to control the non linear dynamics of surge tank via neural ...dynamic neural models in predictive control for a benchmark nonlinear process, surge tank is ...A Neural network ...
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RBF Neural Network Based Sliding Mode Control of a Lower Limb Exoskeleton Suit
... for control applications [9]. Sliding mode control solves the problems of uncertainties, nonlinearization and robustness of the electro- hydraulic servo robot well by giving satisfactory control ...
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Research on Control Strategy of Intelligent Vehicle Autonomous Learning Based on Neural Network Algorithm
... In this paper, the intelligent control method based on neural network algorithm is used to control the influence parameters of damping force of shock absorber.. Memory architecture is es[r] ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... temperature control. This work presents a neural network forward model (NN) to predict a concentration of methyl methacrylate, a jacket temperature and temperature profile in the ...predictive ...
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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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Neural network based maximum power point tracking control with quadratic boost converter for PMSG—wind energy conversion system
... RBFN based MPPT control strategy produces higher power output than that of P&O and BPN control ...RBFN based MPPT technique provides better results and can optimize the output power ...
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Comparative Study between Intelligent Algorithms for Active Force Control of Side Car Mirror Vibration
... force control for vibration control of vehicle side ...artificial neural network and iterative learning algorithm called AFC-NN and AFC-IL, ...AFC-based strategy as intelligent ...
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Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller
... motion control and induction motors are the most familiar drive at present due to its extensive per- formance characteristic similar with that of DC ...Precise control of drives is the main attribute in ...
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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... The Neural network based model predictive controller are designed to control the concentration of the Double Effect ...advanced control strategy. The simulation results show that ...
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Modelling and control of fouling in submerged membrane bioreactor using neural network internal model control
... the neural network model using Newtons method and solving numerically the control action by directly trained inverse model neural network controller ...trained neural ...
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A Hybrid Approach of Module Sequence Generation using Neural Network for Software Architecture
... used based on source code metrics as input for the classifiers ...search based metric selection and oversampling of NASA dataset ...of Neural Network to identify the sequence of implementation ...
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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot
... Model based controllers like LQR [32, 34], and Pole placement controller [27], which are designed based on the linearized model of the robot making the model uncertainties to affect the controllers ...
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Dynamic Neural Network Based Nonlinear Control of a Distillation Column
... and control of a distillation column very difficult ...single-point control is commonly used which is sample and easy to ...single-point control is large and the product of the other end is not ...
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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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