... (PID) controller is simple and easy to practice, but this controller suffers from poor performance if it has nonlinearities and uncertainties ...PID controller is not able to work well for non-linear ...
... a neuralnetworkcontroller for industrial ...on neuralnetwork technology and linear feedback approach for tracking a planned ...linear controller, and another one is ...
... artificial neural networks (ANNs) for an adaptive controller to compensate the packet loss and delay which almost occur in the channels of wireless sensor/actuator networks ...adaptive controller ...
... the neuralnetwork architecture is modeled, the learning model is determined in next stage to update network ...the network through an optimization ...the neuralnetwork ...
... Artificial NeuralNetwork is a well-known AI technique for replicating human brain and offering suitable solution for any unpredictable complicated ...of NeuralNetworkController for ...
... (PD) controller with its control by use NeuralNetworkcontroller based on PD ...PD controller depends upon the proportional gain (Kp) and derivative gain ...PD controller that ...
... a controller, once adapted to elec- trical stimulation systems, can greatly enhance the possi- bilities of paretic patients to control their arm movements with more reduced effort during rehabilitation sessions, ...
... process, neuralnetwork adjusts its structure such that it will be able to follow the ...between network output and the Supervisor is ...NARMA-L2 controller, a multilayer neural ...
... Flow Controller (UPFC)In this paper, a modulation and control method for the new transformer less unified power flow controller (UPFC) is ...artificial neural networks(ANN) controlling for low total ...
... PID controller, (ii) Neuralnetworkcontroller using PERCEPTRON, Back Propagation NeuralNetwork (BPN) and ADALINE Algorithm were designed to control the speed of the universal ...
... artificial neural networks has many advantages such as the ability of adapting to changes, fault tolerance capability, recovery capability, High-speed processing because of parallel processing and ability to build ...
... Autotuning controller using intelligent neuralnetwork control based on relay feedback ...proposed controller takes advantage of offline learning, in which the initial knowledge of control ...
... direct neural controllers represent another class of computer application in the field of non-linear ...nonlinear controller to approximate an ideal ...or neural networks can be used as parameterized ...
... with neuralnetworkcontroller is able to effectively mitigate these disturbances and make the load voltage maintain ...that neural is better controller in mitigating voltage ...
... PID controller and Neuralnetworkcontroller (NARMA – L2) to control the outlet cold water ...NARMA-L2 Controller achieves finest performance than the PID controller for servo ...
... the NeuralNetworkController has quite satisfactory generalization, capability, feasibility, reliability ,accuracy and it is very powerful in reducing the frequency deviations under a variety of ...
... artificial neuralnetwork (ANN) application of load frequency control (LFC) of a Multi-Area power system by using a neuralnetworkcontroller is ...(PI) controller and the ...
... a neuralnetworkcontroller for permanent magnet synchronous motor ...The neuralcontroller is used for torque ripple minimization of this type of ...of neuralcontroller ...
... f neuralnetwork based controller fo r the teleoperation o f Selective Compliance Assembly Robot Arm ...r neuralnetwork control algorithm development, simulation and code ...a ...
... supplier controller, the neuralnetworkcontroller outputs a force that is statistically in the range of ...the neural networks output when compared to the supplier controllers ...