neural network model-based controller
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 ...
10
An Artificial Neural Network Based Real-time Reactive Power Controller
... power controller based on artificial neural ...The network was trained and the weights corresponded to minimum (MSE) error were fed to the microcontroller ...system model and ...
6
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 ...
8
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 ...
6
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 ...
8
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 ...
5
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 ...
9
Neural Network Controller Based on PID Controller for Two links- Robotic Manipulator Control
... propagation neural network to model non-linear kinematics of the robot instead of a linear regression estimator in order to adapt the robot to a large operating range [10], Mathew L, et al studied on ...
6
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 predictive ...
13
NEURO MODELING AND CONTROL STRATEGIES FOR A pH PROCESS
... PI controller settings are obtained by pole placement technique. The neural network based direct inverse controller and internal model controller are developed for a pH ...
10
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 ...
8
Artificial Neural Network Based Induction Motor Speed Controller
... A Model Predictive Control scheme was used by a Mishra and Choudhary in their work entitled 'Artificial Neural Network Based Controller for Speed Control of an Induction Motor using ...
5
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 ...
10
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 ...
13
Neural Network Controller for Two links- Robotic Manipulator Control with Different Load
... Logic Controller to achieve position control of a two-link manipulator ...PID controller with a fuzzy switch for robot ...to neural networks applications [6], ...
6
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 ...
6
Evolving Neural Network CMAC and its Applications
... a network CMAC a number of difficulties in the selection of parameters such as the number of levels and the quantization levels, the shape of the receptive field, the type of applied information hashing algorithm ...
8
Stable Adaptive Neural Control of a Robot Arm
... recurrent neural networks (RNN) is presented for square multivari- able non-linear plants with unknown ...instantaneous neural model, a neural controller based on fully connected ...
6
Human-level Moving Object Recognition from Traffic Video
... As traffic videos are usually with crowded scenes and low definition, most algorithms are not effective. In this work, we separate image and determine a small rectangle window that contains moving object for each moving ...
14
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 ...
6