neural network model predictive controller
Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... Advanced controller i.e., The Neural network based model predictive controller are designed to control the concentration of the Double Effect ...the Neural networks ...
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Rejection of the Feed-Flow Disturbances in a Multi-Component Distillation Column Using a Multiple Neural Network Model-Predictive Controller
... nonlinear model-predictive control (MPC) of a chemical ...multiple neural networks is selected and used to model a nonlinear multi-input multi-output (MIMO) process with time ...a ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... a neural network forward model (NN) to predict a concentration of methyl methacrylate, a jacket temperature and temperature profile in the ...NN model has been employed to predict state ...
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Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller
... stabilizing controller is always preferred to optimize the production ...suitable controller [5]-[7] [9]. Besides most of the controller tuning methods requiring accurate mathematical model of ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... Model predictive control (MPC) techniques have been recognized as efficient approaches to improve operating efficiency and ...the controller is less effective, or even detrimental to the system ...
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DESIGN OF NEURAL NETWORK PREDICTIVE CONTROLLER FOR A QUADRUPLE TANK SYSTEM
... that neural network based non linear model predictive controller is able to provide superior performance in case of settling time, rise time and Integral Square Error ...
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Online Full Text
... of neural network-based model predictive control (NNMPC) for handling predefined optimal policy tracking determined by dynamic optimization strategy of a batch reactive distillation ...
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An Adaptive Neural Network Fuzzy Inference Controller Using Predictive Evolutionary Tuning
... system model is complex or uncertain relies on a non-parametric philosophy whereby a fuzzy block is used to handle uncertainties and imperfections while a neural network block addresses the ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... of predictive control schemes have been developed based on various neural networks like Multi Layer Perceptron (MLP) or Radial Basis Functions ...a neural network model is an accurate ...
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Investigating the Relationship between the Reflected Near Infrared Light and the Internal Quality of Pineapples Using Neural Network
... By comparing Fig. 3 and Fig. 4 it is shown that the testing result for Fig. 4 is much better to compare in Fig. 3 this is because the percentage of accuracy is higher in Fig. 4. This is due to the sample that has been ...
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An error correction neural network for stock market prediction
... a neural network is given in Section ...correction network views the forecasting problem as a system identification problem, with the task of finding the dy- namic system that best explains the ...
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Predictive Computational Model for Target Marketing using Social Network Analysis and Artificial Neural Network
... “Artificial neural networks” is a computational metaphor inspired by studies of the brain and nervous systems in biological ...work. Neural networks operate on the principle of learning from examples; no ...
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Comparison of Conventional Controller with Model Predictive Controller for CSTR Process
... Derivative) controller in industries for various process control ...PID controller which yields an overshoot and long settling time, which exacerbate the ...of controller, known as MPC (Model ...
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Stable Adaptive Neural Control of a Robot Arm
... For multivariable nonlinear systems, due to the cou- plings among various inputs and outputs, the control pro- blem is more complex and few results are available in the literature. In [8,9] the authors presented a stable ...
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Determination of the height of destressed zone above the mined panel: An ANN model
... Providing sufficient number of data is an important stage in ANN modeling. In this study, a vast collection of suitable dataset was prepared from the Iranian coalfields and comprehensive literature surveys and the ...
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Teleoperation of SCARA with Neural Network Based Controller
... robotic controller, functions for transmitting and receiving messages between the PC and the DSP-2 robotic ...DSP controller handles data acquisition and storage ...
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Combining DFT and QSAR result for predicting the biological activity of the phenylsuccinimide derivatives
... The multiple linear regression statistic technique is used to study the relation between one dependent variable and several independent variables. It is a mathematic technique that minimizes differences between actual ...
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COMPARATIVE PERFORMANCE ANALYSIS OF MODELING, CONTROL AND SIMULATION OF DC-DC BOOST CONVERTER WITH PV CELL USING MPC AND NARMA-L2 CONTROL
... NARMA-L2 Controller is also called as Feedback Linearization ...plant model has a particular form (companion ...plant model can be approximated by the same ...simulink model of the NARMA-L2 ...
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Neural Network Controller for Power Electronics Circuits
... the neural networks, are recently having significant impact on power ...of neural network applications in the intelligent control for power electronics ...The Neural Network ...
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Virtual Model Of A Vehicle Adaptive Damper System
... Adams© model that is representative of the road profiles seen in durability simulations, without using an existing road ...trained network memorizes the training data and is unable to perform on any new ...
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