model predictive neural control
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 the ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... A waste solvent mixture of acetone-methanol water from a pharmaceutical plant, minimum boiling azeotrope property, is difficult to separate by conventional batch distillation. Consequently, to improve effectiveness of ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... a control time series u is chosen. Using a model we look at what would happen if this series of control signals is used: the plant output y ˆ can be predicted, then next a cost function (1) is used ...
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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 based on ...
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Artificial pancreas based on model predictive control
... ANFIS stands for Adaptive Neural Fuzzy Inference System. Using a given input/output data set, the toolbox function ANFIS constructs a Fuzzy Inference System (FIS) whose membership function parameters are tuned ...
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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 model. In ...
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Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... the neural adaptive control exist which we quote: direct adaptive neural control, indirect adaptive neuronal control, adaptive neural internal model control, ...
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Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller
... plants control, to maximize the production rate and to meet sharper specification of product quality ...and control of Industrial Drives (ID) for set point tracking as well as for distur- bance rejection ...
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Neural predictive control of broiler chicken and pig growth
... Active control of the growth of broiler chickens and pigs has potential ben- efits for farmers in terms of improved production efficiency, as well as for animal welfare in terms of improved leg health in broiler ...
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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 Predictive ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... of control quality of selected nonlinear system with RBFN based neural controller is realized in environment of ...designed neural controller, with 100 ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... effective control technique to control the ...the neural network forward model to predict the dynamics behavior and the neural network inverse model to control the process ...
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Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter
... system are estimated by neural-network and the duty cy- cle of dc/dc converter is determined by a predictive con- troller. The paper is organized as follows: in Section II, the wind turbine and its ...
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Consumer choice prediction : artificial neural networks versus logistic models
... Quantitative analysis for forecasting in business and marketing, especially in consumer behavior and in the consumer decision-making process (consumer choice model), has become more popular in business practices. ...
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Control of a direct matrix converter with modulated model predictive control
... modulated model predictive control (M2PC) which has been proposed for a cascaded H-bridge converter [20-22], active front-end rectifier [23], two level inverter [24], three phase rectifier [25], a ...
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Model Predictive Control for Deferrable Loads Scheduling
... this model, we introduce a model predictive algorithm for deferrable load control with uncertainty (Section ...The model predictive algorithm essentially solves a series of ...
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Model predictive control design for industrial applications
... the predictive controller it is used in parallel with the existing low level PID in order to improve the performance of the closed loop system (figure ...regulatory control structure (Bulut et ...the ...
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A Simplified Approach to Multivariable Model Predictive Control
... Simplified Predictive Control (SPC) technique first described by Gupta ...on control loop performance is ...variable control; as was shown in [8], the performance of single-variable SPC can be ...
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Convex Model Predictive Control for Vehicular Systems
... For this simulation, the initial orbit was set to x, y coordinates of (10, 10) and the final orbit was set to (0, 0). An initial velocity was set to the x and y velocity (0.5, 0) and the spacecraft was constrained to ...
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Model Predictive Control for a Recover Water Process
... Fig. 2 shows the controlled pressure which represents the main result. In case of anti-windup action being relatively weak, the anti-windup controller needs time to reestablish the control loop. As already ...
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