adaptive neural model-based control
Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... of neural network architecture, that is to say, the number of neurons in the input layer which is a func- tion of past values of the input and output, the number of hidden neurons, the number of neurons in the ...
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Design of Model Predictive Control based Direct Neural Controller for Surge Tank Application
... predictive control based direct neural controllers represent another class of computer application in the field of non-linear ...made adaptive such that the adaptation mechanism attempts to ...
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INCORPORATING DEOXYRIBONUCLEIC ACID IN AES SCHEME FOR ENHANCING SECURITY AND PRIVACY PROTECTION
... an adaptive tuning method for proportional-integrate-derivative controller is proposed to control a MIMO nonlinear ...The neural network tuner is trained online in order to make the real system close ...
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Adaptive Force Control of in Web Handling Systems
... conducted based on the basic linear and time invariant model, in which all parameters take their nominal values at the specified operating ...the control performance and robustness property of the ...
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Stable Adaptive Neural Control of a Robot Arm
... stable adaptive control scheme based on the use of recurrent neural ...erating model is completely ...both adaptive instantaneous neural model and controller one, ...
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Dynamic modeling and control of a 4 DOF robotic finger using adaptive-robust and adaptive-neural controllers
... The control problem of finger robots, and consequently multi fingered robot hands, is one of the challenging issues in this field due to highly nonlinear dynamic equations, external disturbances and parametric ...
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Model Based Adaptive Control and Disturbance Compensation for Underwater Vehicles
... precise control is very impor- tant because the quality of the data obtained and the effi- ciency during a lengthy operation are highly dependent on the type of vehicle control ...various control ...
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Adaptive neural network cascade control system with entropy-based design
... stochastic control systems [3; ...temperature control in power plants [3] in our previous ...networked control system [41], in which the ( , )- h entropy of the quadratic performance index was used ...
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Design of a nonlinear self tuning parameters algorithm for different types of PID controllers based on artificial intelligent
... self-tuning control algorithm is based on neural network and PSO algorithm to make both controllers are an on-line adaptive PID controllers by calculating the optimal nonlinear values of the ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... new control methods based on adaptive Neuro-Fuzzy damping controller and adaptive Artificial Neural Networks damping controller techniques to control a Unified Power Flow ...
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Volume1, Issue1June 2011
... in neural networks [246] for their universal function approximation capability, it is shown [301] that a fuzzy system is capable of approximating any smooth nonlinear functions over a convex compact ...[339]. ...
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Neural Network based Video Quality via Adaptive FEC in Wireless Environment
... Artificial Neural Network (ANN) has proven capability in wireless communications in building wireless intelligent ...applying neural networks is to change from the lengthy analysis and design cycles ...
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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 control results ...the neural network ...variables. Control performances of the ...
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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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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... is Model Predictive Control based on Fuzzy Logic, Genetic Algorithms or B&B, and Adaptive Control ...using adaptive technique based on the error between the reference ...
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Position based Adaptive Impedance Controller Design for Lower Limb Rehabilitation Robot
... Medical research has shown that patients with limb dyskinesia caused by nerve damage and healthy limbs can help them recover their athletic ability through scientific and effective exercise rehabilitation training. After ...
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II.M ETHODOLOGY A. Vibration Detection
... the control shaker or the point of interest, ...ANN model automatically based on the new experimental setup, and therefore absorbs the information of new time ...
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AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM
... points based on the previous measurement ...of neural network model for forecasting is a number of observed values before the time point of prediction, and as the prediction step increase, the last ...
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Article Description
... As shown in Fig. 4 for low adaptation gains, the actual speed has no oscillation but too much delay, so poor performance. Increasing adaptation gains the output speed response improved towards matching the desired speed ...
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CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... predictive control (MPC) techniques have been recognized as efficient approaches to improve operating efficiency and ...complex control problems in the process ...the control of non-linear systems if ...
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