Neural Network in Adaptive System
Research on RBF neural network model reference adaptive control system based on nonlinear U – model
... the adaptive system based on robust internal model control (IMC), hence the adaptive tracking for a class of stable nonlinear objects ...an adaptive controller based on the U-Model for the gas ...
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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 neural network fuzzy inference system for HFC processes
... 2. HFC ANFIS ANFIS is trained using a number of examples obtained in practical HFC equipment tests. Figure 3 provides an example of learning space for the speed variable, consisting in all examples used to train this ...
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Adaptive Neural Network Based Power System Stabilizer Design
... The proposed IDNC consists of a neuro-controller, which is used to generate a supplementary control signal to the excitation system, and a neuro-identifier, which i[r] ...
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Adaptive neural network cascade control system with entropy-based design
... whole system is nonlinear, and the disturbances in the measured temperatures, induced by exhaust and vapour, are non-Gaussian in ...control system with a focus on the primary controller using NN-based PID ...
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Adaptive neural network cascade control system with entropy-based design
... whole system is nonlinear, and the disturbances in the measured temperatures, induced by exhaust and vapour, are non-Gaussian in ...control system with a focus on the primary controller using NN-based PID ...
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Student classification in adaptive hypermedia learning system using neural network
... Implicit extraction technique gathers and analyses the student ’s behavior captured in the server log while they navigate through the system. Explicit extraction technique on the other hand collects student ’s ...
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A Novel Adaptive Neural Network Compensator as Applied to Position Control of a Pneumatic System
... and adaptive control strategies can be ...the system to be controlled. The advantage of neural networks is that they do not require a ...novel adaptive on-line neural network ...
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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 ...control system will be required to control and track power load demands for complex SOFC ...
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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
... this network, number of neurons in the input and output layers were equal to the dimension of input and output vectors ...by network was performed during training of ...
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Adaptive neural network backstepping control of fractional order Chua–Hartley chaotic system
... of system (12) will remain in a small neighborhood of ...approximation-based adaptive control method is ...approximation-based adaptive control method has attracted more and more scholars’ attention ...
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An Analysis of Hardware Configurations for an Adaptive Weightless Neural Network
... an adaptive RAM-based neural network, the Enhanced Probabilistic Convergent Network (EPCN) [14], in a reconfigurable ...and adaptive properties of the FPGA- based neural ...EPCN ...
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Model of Electric Power Load by Adaptive Neural Network
... an adaptive learning factor are calculated at iteration of training following the analysis of convergence theory satisfying the convergence ...an adaptive learning factor is calculated at iteration ...
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ADAPTIVE NEURAL NETWORK FOR SKETCH BASED IMAGE RETRIEVAL
... layer neural network has capability to retrieve similar images from big database to desired degree of accuracy with sufficient number of neurons in the hidden layer ...[1,2]. Neural network ...
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Estimation of harmonics using adaptive wavelet neural network
... an adaptive wavelet neural network (AWNN) is the most appropriate for prevailing low-order harmonics ...the network parameters which is a easy, fast converging and reliable learning ...
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Adaptive Internal Model Control of a DC Motor Drive System Using Dynamic Neural Network
... the adaptive internal model control of DC motor in both cases conventional and ...of adaptive internal model control are the choice of architectures, learning algorithms, and examples of ...conventional ...
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Adaptive Neural Network Robust Control for Space Robot with Uncertainty
... kunci: Neural network, robust control, space robotic manipulators, adaptive control Abstract The trajectory tracking problems of a class of space robot manipulators with parameters and non- ...
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Adaptive higher order neural network models and their applications in business
... called adaptive activation functions because the free parameters can be adjusted (in the same way as connection weights) to adapt to different ...ward Neural Network (FNN) was able to adapt its ...
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Adaptive Neural Network Feedforward Control for Dynamically Substructured Systems
... G d = 0 due to the modeling errors). Following the similar arguments for choosing K d , if we can design an ideal compensator as u ∗ f = G f d = G u − 1 G d d, then it is intuitively reasonable that the effect of the ...
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An adaptive controller for photovoltaic emulator using artificial neural network
... Figure 6(a) and Figure 6(b) show the PV emulator system maintains the output current dynamic response even though the output resistance increases. The proposed control strategy shows that the integral gain becomes ...
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