adaptive dynamic neural 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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PERFORMANCE ANALYSIS OF WLAN UNDER VARIABLE NUMBER OF NODES USING THE ADJUSTABLE PARAMETERS IN EDCA
... linear control scheme is feedback ...a dynamic growing RBFNN in parallel with a model reference adaptive ...a neural network for nonlinear approximation and development for nonlinear ...
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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 ...
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Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network
... The choice of the sampling period can have a dramatic effect on the results of the identification and control. If the sampling period is chosen large enough, this causes a bad description of the dynamics of the ...
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Indirect Neural Adaptive Control for Wheeled Mobile Robot
... the dynamic NN (DNN) depicted by [7], the novelty of the proposed approach lies in the incorporation of indirect NN based on stable adaptation laws derived from the Lyapunov stability theorem for identification ...
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Dynamic Modeling and Adaptive Control of a Cable-suspended Robot
... Control of this kind of robots has attracted the attention many researchers, mostly because of its great impact on the efficiency of the robotic ...Several control methods have been proposed for parallel ...
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Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... new neural network architecture called based on the adaptation of the shape of the sig- moid weight of the hidden layer neurons and have intro- duced its corresponding dynamic back propagation learning ...
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Integral Backstepping Control for a PMLSM Using Adaptive RNNUO
... feedforward neural networks (FNNs) and recurrent neural networks (RNNs) according to the structures ...a dynamic mapping without the aid of tapped ...artificial neural networks where the ...
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A Novel Concise Adaptive Neural Control for a Class of Nonlinear MIMO Systems with Unknown Time Delays
... on control design for single-input, single-output (SISO) ...tracking control of nonlinear MIMO systems was ...previous adaptive schemes is very ...the dynamic surface control (DSC) ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... an adaptive fuzzy-neuro-wavelet dynamic sliding-mode control (AFDSC) system which is composed of a neural controller and a switching compensator is ...A dynamic sliding surface is ...
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Variable neural networks for adaptive control of nonlinear systems
... of neural network structure developed for learning systems is to begin with a larger network and then to prune this [32], [36], or to begin with a smaller network and then to expand this [9], [42] until the ...
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Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... addresses control design in networked control system by considering stochastic packet dropouts in the forward path of the control ...mode control design, an improved genetic algorithm is ...
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Research of adaptive control algorithm research based on rough set and implementation
... From the perspective of human nature, we conducted our research and got the result that it takes longer safety distance when driving left than right. So we conclude that it is safer when driving left. Though we conducted ...
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Homeostatic inspired controller algorithm for a hybrid driven autonomous underwater glider
... artificial neural network (ANN), an artificial endocrine system (AES), and an artificial immune system ...to control the glider's overall ...predictive control (MPC), neural network (NN) ...
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A fast adaptive neural network system for intelligent control
... One solution is to model the system with two neural networks in parallel whereby one network is trained a priori with a wide range of historical dynamics while the [r] ...
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Adaptive Dynamic Control for Magnetically Actuated Medical Robots
... novel dynamic control approach for magnetically actuated robots, by propos- ing an adaptive control technique, robust towards parametric uncertainties and unknown bounded ...robots’ ...
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Adaptive attitude controller of a reentry vehicles based on Back-stepping Dynamic inversion method
... attitude control algorithm, named ...backstepping dynamic inversion and adaptive control methods which is used to control the attitude of the re-entry vehicle in the presence of ...
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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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Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... LINEAR NEURAL NETWORK Adaptive linear networks are very simple artificial neural network that contains just one neuron with a few inputs and additional unit ...
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Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception.
... Large then extended this theory with the notion of non- linear resonance [15]. Musical structures occur at simi- lar time scales to fundamental modes of brain dynamics, and cause the nervous system to resonate to the ...
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