neural network control strategy
Temperature control for chemical reactor using adaptive neural network control strategy
... A pair of ordinary differential equations represents the mathematical modeliig of the chemical reactor used in this simulation 14] ' By manipulating the coolant jacket temperature T,, tr[r] ...
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... of control system techniques that are based on nonlinear ...Since neural networks have the ability to model any nonlinear system including their inverses and their use in this control scheme is ...
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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 terephthalic acid batch ...The ...
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Design of radial basis function neural network controller for BLDC motor control system
... many control applications because of its simplicity and effectiveness, yet PID controller has its shortcomings, especially for the target which is nonlinear and ...nonlinear control systems. BLDC motor ...
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Neural network based maximum power point tracking control with quadratic boost converter for PMSG—wind energy conversion system
... MPPT control strategy produces higher power output than that of P&O and BPN control ...controller strategy provides enhanced results but fails at the above‐rated wind speed region, and the ...
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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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A Dual Control Strategy for Phase Balancing in Three Phase Four Wire Distribution Systems by Artificial Neural Network
... the network through Artificial Neural Network (ANN) ...proposed control strategy is more efficient than the conventional control ...dual control strategy, power ...
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Research of adaptive control algorithm research based on rough set and implementation
... adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and force ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... A dynamic optimization problem for the BED is transformed into a nonlinear programming (NLP) problem solved by a SQP-based optimization technique and the process models are integrated by the Gear’s type method. The ...
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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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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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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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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... NNMPC strategy can bring the reactor temperature to the set point by gradually adjusting the jacket temperature set point which then gives smooth control ...can control the reactor temperature to the ...
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Study on the Elman Neural Network Operation Control Strategy of the Central Air Conditioning Chilled Water System*
... operation control of the central air conditioning water system, generally control the temperature difference and pressure ...the control method for temperature difference and pressure difference ...
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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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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 ...on neural network-based adaptive controller, which ...
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Content Based Message Filtering System for OSN User Walls
... Social Network plays a vital role in our each day ...Social Network) is to provide security in posting unnecessary ...straight control on the contents displayed on their private ...
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Neural-network based vector control of VSCHVDC transmission systems
... the neural network controller shows a fast response speed with low current and voltage ...transmission control between the two VSC stations (Fig. 10). Compared to the neural network ...
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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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... required, control parame- ters can be changed very ...the neural Networks to improve the stability of the overall system and also its good dynamic perfor- mance achievement ...
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