model-based neural network controller
The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm
... ANN-DEA-PID controller better than ANN-PID controller and the ANN-DEA-PID controller is more independent and adaptable on the model of the controlled ...of network, which promotes the ...
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Artificial Neural Network Based Induction Motor Speed Controller
... Artificial Neural Networks (ANN) based efficient speed control of an Induction Motor has been ...The Model Predictive Control (MPC) architecture is employed for system identification and the design ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... problem, neural networks studied and provided successfully to capture the dynamics of nonlinear and complex systems have been proposed and formulated ...[8-13]. Neural networks have several advantages of ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... via neural controller. In this paper the inclusion of dynamic neural models in predictive control for a benchmark nonlinear process, surge tank is ...A Neural network approximator ...
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NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS
... designing controller parameters. In this paper, a neural network based internal model control is designed for a pH process and its performance is compared with conventional PI ...
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Solar Thermal Aquaculture System Controller Based on Artificial Neural Network
... SIMULINK model for the solar thermal aquaculture ...technique. Neural networks are massively parallel processors that have the ability to learn patterns through a training ...
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Online Full Text
... a neural network based estimator, and Section ...of neural network used as a model in the NNMPC ...the neural networks are developed based on the simulation of the ...
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Neural Network Controller Based on PID Controller for Two links- Robotic Manipulator Control
... control, Neural Network, Neuro Fuzzy and because that they can control nonlinear systems that would be difficult or impossible to model ...a neural network approach for the motion ...
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Neural Network Based Model Predictive Control of Batch Extractive Distillation Process for Improving Purity of Acetone
... each controller is applied to track the acetone distillate composition at the desired ...the neural network model used in the NNMPC is trained covering the possible parametric plant ...
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Control of a Double -Effect Evaporator using Neural Network Model Predictive Controller
... The model predictive control method is based on the receding horizon ...The neural network model predicts the plant response over a specified time ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... hybrid model optimization corresponding to minimize and at the same time maximizes at the end of batch ...the neural network ...PID controller tuned using the Ziegler–Nichols closed loop ...
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Implementation of Artificial Neural Network Training Data in Micro-Controller Based Embedded System
... Following the architecture of the network are the optional starting weights. If no starting weights are given the trainer will choose random weights. The weights need to be listed in the same format as the ...
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Neural Network Controller for Power Electronics Circuits
... any model to be ...artificial neural networks in the area of power electronics and drives particularly because of their powerful learning abilities, optimization abilities and ...
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Teleoperation of SCARA with Neural Network Based Controller
... ) based on the theory o f continuous sliding-m ode controllers is presented in the ...ic model o f a robot arm m echanism is needed to design a robot controller but such a m odelling o f dynamic ...
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An Artificial Neural Network Based Real-time Reactive Power Controller
... distribution model, control devices, switching devices, power analyzers, and microcontroller ...value based on actual distribution ...is based on rule of thumb; the capacitors are installed in ...
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Artificial Neural Network Control of Permanent Magnet Synchronous Motor
... a neural network controller for permanent magnet synchronous motor ...The neural controller is used for torque ripple minimization of this type of ...of neural controller ...
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Virtual Model Of A Vehicle Adaptive Damper System
... supplier controller, the neural network controller outputs a force that is statistically in the range of ...the neural networks output when compared to the supplier controllers ...
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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... is based on the idea of optimal exploitation of ...is based on Ulph [11] through the exploration of exhaustible resources, that is, starting from the petroleum market ...the model are poor through ...
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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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Neural Network based Software Effort Estimation: A Survey
... of Neural Network techniques for Software Effort Estimation is discussed and evaluate on the basis of MMRE and ...specific Neural Network based Effort Estimation technique is proposed ...
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