[PDF] Top 20 A fast adaptive neural network system for intelligent control
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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] ... See full document
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... decentralized control of large scale system with the non-linear ...scale system has known upper and lower bound [2][3], and controlled gain symbol is already known [2], under many circumstances, it ... See full document
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Adaptive neural network cascade control system with entropy-based design
... Effective control of superheated steam temperature is crucial for safe and efficient operations in power ...whole system is nonlinear, and the disturbances in the measured temperatures, induced by exhaust ... See full document
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Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems
... Neural network modeling of a system from samples af- fected by noise usually requires three ...of neural network architecture, that is to say, the number of neurons in the input layer ... See full document
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... type neural network, Due to the increase of the layer of coupling in feedback, which makes its input and output can express the delay , the network has a memory function , This combination structure ... See full document
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Prolonging the Network Life Time in WSN through Computational Intelligence
... Flat Network ii) Cluster-Based Data Aggregation iii) Tree Based Data Aggregation iv) Grid Based Data ...provides adaptive mechanisms that exhibit intelligent behavior in complex and dynamic ... See full document
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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 ... See full document
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Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... the neural network controller output to get the appropriate values that can efficiently reduce the MSE between the actual reference t model and the nonlinear system output ... See full document
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A Novel Adaptive Neural Network Compensator as Applied to Position Control of a Pneumatic System
... the control of pneumatic ...and adaptive control strategies can be ...the system to be controlled. The advantage of neural networks is that they do not require a ...novel ... See full document
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Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System
... power system, it is essential, that its generation ramp rate and load following is fast enough to sustain power ...efficient control system will be required to control and track power ... See full document
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Online Full Text
... inter system roaming across heterogeneous wireless access networks will be a major feature in the architecture of next generation wireless networks ...the network connectivity active to meet the ... See full document
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II.M ETHODOLOGY A. Vibration Detection
... and control strategies strive to reduce the effect of harmful vibrations on machinery and ...vibration control strategies are classified as passive or ...vibration control techniques are generally ... See full document
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An Adaptive Neural Network Based Energy Storage Control for Operation Enhancement of a Multi-Generator AC and Wind Power System
... power control capabilities, ...the system (Mendonca et ...generator system. Hence with increased wind penetration the effective system inertia is decreased and it can affect reliability of the ... See full document
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... actual system which will cause instability and difficulties in dealing with ...nonlinear system is of vital importance. In recent years, control for uncertain nonlinear systems has aroused widespread ... See full document
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Intelligent Traffic Control System Using Adaptive Logic
... to control the traffic effectively when a particular lane has got more traffic than the other ...Advance intelligent Traffic signals to replace the Conventional manual and time based Traffic signal ... See full document
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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 ...artificial neural networks where the connections are not feed-forward ones ...a system ... See full document
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... Fuzzy Adaptive Learning Control/Decision Network (FALCON)-Based Fault Detector (FFD), and the Adaptive-Network-Based Fuzzy Inference System (ANFIS)-Based Fault Detector ... See full document
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Two degree of freedom Robust Control for a Non minimum Phase Electro hydraulic System
... The increasing numbers of works dealing with EHA system over the past decades involved a linear control, intelligent contol and nonlinear control approaches such as neural network NN [0][r] ... See full document
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Research of adaptive control algorithm research based on rough set and implementation
... an adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing ... See full document
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Neural Network and Adaptive Feature Extraction Technique for Pattern Recognition
... PCA Feature Extraction by Hebbian Algorithm The principal component analysis (PCA) is a Multivariate Statistical Process Control (MSPC) methods. Feature extraction methods determine an appropriate subspace of ... See full document
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