fuzzy neural-network controller
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... TSK-type fuzzy network control (ATFNC) system for synchronization of a coupled nonlinear chaotic ...a neural controller and a fuzzy compensator. The neural controller uses ...
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Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic
... ral network model architecture is defined, data are col- lected and fed to the ...The network is then trained to recognize the relationships between the input and out- put ...The network is then ...
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Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... Also Fuzzy Logic Controller (FLC) can be used for this kind of ...conventional controller, the main advantage of fuzzy logic is that no mathematical modeling is ...
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Intelligent Controller for UPQC Using Combined Neural Network
... based controller for the UPQC can be appreciated by comparing the results of the mul- tiple ...PI controller, Fuzzy logic controller, ANN controller and CNN controller depicted ...
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Real Time Results of a Fuzzy Neural Network Active Noise Controller
... using fuzzy neural network ...using fuzzy neural network with saturation of the power amplifier is proposed, where the model of fuzzy neural network is ...
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Intelligent PID Controller on Soft Computing
... of controller parameters. In this paper, the author applies fuzzy system, neural network technique and genetic algorithm to PID controller in order to achieve intelligent adjustment the ...
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A Power Factor Improvement And Speed Control Of Bldc Motor Drive Using Anfis Controller
... Recently, fuzzy inference system (FIS) is widely used because of its good performance, in cases when the system or process is complicated and classical method cannot work ...Additionally, fuzzy system ...
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An Adaptive Neural Network Fuzzy Inference Controller Using Predictive Evolutionary Tuning
... a neural network to learn about the unknown plant and fuzzy inference to compensate for the uncertainty (GANFIS ...ANFIS controller: adaptive tuners to select critical evolutionary parameters ...
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Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... of fuzzy logic and artificial neural network results in ANFIS ...i.e. fuzzy logic and neural ...The fuzzy logic controller and neurons of NN are implemented based on field ...
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a, N is the length of vector
... a Fuzzy ARTMAP controller to do a certain control ...the Fuzzy ARMAP neural network is capable of performing the control action that the human being is able to ...a fuzzy ARTMAP ...
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Advanced Control of a PMSG Wind Turbine
... as fuzzy logic and artificial neural network control is ...the fuzzy and the neuro control is more robust and has superior dynamic performance and hence is found to be a suitable replacement ...
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Simulation of a neural network-driven fuzzy controller
... neural_block.rb_updated "Is", in buff i- l] NO ERROR; iturn 'trouble reading input ling tad_rule", var naae': ifdef SEARCH FOR THE LINGUISTIC VALUE IN ruZZY DATABASE / found 0; Jinput[il[r] ...
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Vol 2, No 11 (2014)
... as fuzzy logic control, neural network control, genetic algorithm, and expert system, proved to be ...Intelligent Controller (AIC) could be the best controller for Induction Motor ...
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... PID controller is the simplest and best suited controller in process industries to maintain the process at the desired set ...linear controller needs adaptation mechanism to cope up with non-linear ...
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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... water level gauging stations that belong to two sub-drainage systems. The learning target of the RNN model was the wa- ter level observations of YC10. To obtain 5- to 20-min-ahead water level predictions, this study ...
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Applications of Non Linear Controllers for Improving Distribution Networks Performances
... the fuzzy logic controller fails to restore and reduce the harmonic content to an acceptable values which is according to IEEE standard 3% for the individual voltage and 5% for the three phase ...the ...
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Teleoperation of SCARA with Neural Network Based Controller
... The theoretical development o f a continuous n e u r a l- n e tw o r k s lid in g -m o d e c o n tro lle r (C N N SM C ) based on the theory o f continuous sliding-m ode controllers is presented in the paper. D erived ...
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Comparative study of static and dynamic neural network models for nonlinear time series forecasting
... as neural network models, in modeling and forecasting the market indexes can yield impressive results (Aladag et ...as neural network models, is a response to the lack of consensus on ...
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Stable Adaptive Neural Control of a Robot Arm
... For multivariable nonlinear systems, due to the cou- plings among various inputs and outputs, the control pro- blem is more complex and few results are available in the literature. In [8,9] the authors presented a stable ...
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Deduction of reservoir operating rules for application in global hydrological models
... derive fuzzy rules describing the way a reservoir is ...artificial neural network capable of mim- icking fuzzy logic, called the ANFIS adaptive-network-based fuzzy inference ...
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