neural network based model predictive control
CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... a Neural Network based Model Predictive Control (NNMPC) strategy to control nonlinear ...Perceptron Neural Network (MLP) is chosen to represent a Nonlinear ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... of neural network model-based controllers: the neural network direct inverse model control (NNDIC) and neural network based model ...
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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 ...NN ...
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Online Full Text
... artificial neural network-based model predictive control has successfully exhibited excellent control performance even through the presence of model/plant ...
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Implementation of neural network based inverse model control strategies on an exothermic reactor
... the neural networks by switching the training between the train and test data set, hence covering a higher magnitude range with varying ...trained neural network inverse model in this IMC ...
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Neural Network Predictive Control of a SOFC Fuelled with Ammonia
... established Model Predictive Control (MPC) methods are available in the literature [5-7; 23; 26-28; ...process control methodology. Wu et al. [25] used a predictive controller ...
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Performance Prediction of Refrigeration Systems by Artificial Neural Network
... artificial neural network based simulation techniques are implemented for the performance prediction of refrigeration ...the model by Artificial Neural Network Model ...
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Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application
... a predictive method which can provide an effective online tuning of stator resistive parameters using temperature as a vital ...Duplex Neural-Lumped Thermal Network model which uses a trained ...
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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 ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... Model 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 ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... Model Predictive Control (MPC) is one of model based approaches which can handle most common process characteristics and industrial requirements in a satisfactory ...accurate ...
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Design of radial basis function neural network controller for BLDC motor control system
... RBF neural network are phase current and speed, output signal is duty cycle D, the input and output are applied in BLDC motor control system, it can change control parameters on-line and ...
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... The basic learning rule of adaptive network is back- propagation algorithm where the model parameters are updated by a gradient descent optimization technique. However, due to the slowness and tendency to ...
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Artificial pancreas based on model predictive control
... The simulation results presented above prove that if the designed control is more effective, it has faster response times or settling times. The sudden fluctuation or change in input and its effect on the various ...
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Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
... the neural network has one hidden ...plant model network for the both dc boost and ac output voltage controllers is equal to ...plant model for both inputs and outputs is equal to ...
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Model based predictive control of depth of anaesthesia
... loop control system. The proposed control systems are most often built around a well established BIS monitor, which is now standard equipment for anaesthesia ...automatic control system can avoid ...
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Human-level Moving Object Recognition from Traffic Video
... Q-learning based moving object recognition approach, which firstly finds out moving object region and then uses a Q-learning based optimization method to determine the most compact region that contain the ...
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Neural Network based Software Effort Estimation: A Survey
... (Artificial Neural Network) has the ability to discover relationships between the dependent and independent ...biological neural networks are Neurons (nodes) and Synapses ...Artificial Neural ...
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NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS
... to model its dynamics using conventional ...of neural networks in modeling and control of non-linear dynamics systems has been recognized since last decade [5], and research in this area has been ...
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