neural fuzzy system control
Vol 2, No 11 (2014)
... in control of induction motor ...the control techniques that exist, intelligent control methods, such as fuzzy logic control, neural network control, genetic algorithm, ...
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Control Performance Standard based Load Frequency Control of a two area Reheat Interconnected Power System considering Governor Dead Band nonlinearity using Fuzzy Neural Network
... frequency control is one of the major requirements in providing reliable and quality operation in multi-area power systems ...the system by a change in frequency. It is necessary to design a LFC ...
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Online Full Text
... of neural and fuzzy logic ...recurrent neural networks (RNNs) that have superior capabilities than the feed forward neural networks ...a system without external feedback through ...good ...
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Trajectory Tracking Control for Seafloor Tracked Vehicle By Adaptive Neural-Fuzzy Inference System Algorithm
... Actually, mechanics properties of the seafloor sediment are always uneven distribution, which will cause the differences of the shear forces and traction forces under two tracks. As a result, a turning moment will be ...
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Neural Control of Neutralization Process using Fuzzy Inference System based Lookup Table
... parameters, control of pH is difficult and ...flexible control systems for efficient and reliable ...intelligent control strategies are increasingly being employed in modern process ...pH ...
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Control of Non Linear Two Mass Drive System using ANFIS
... artificial neural network that is based on Sugeno fuzzy inference ...of fuzzy logic and neural networks by clustering values in fuzzy ...both neural networks and fuzzy ...
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On hybrid intelligence-based control approach with its application to flexible robot system
... the fuzzy-based approach and applied to the singular perturbation method for controlling robot flexible arm ...A neural-fuzzy-based structure is proposed to control the target position of a ...
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Neuro fuzzy Controller for High Performance Induction Motor Drives
... namely fuzzy logic and neural networks [7-10] to provide a reliable and fast acting control system for performance enhancement of voltage controlled induction motor ...results, fuzzy ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the fuzzy logic and neural networks make them ideal solution in individual use for some kinds of artificial intelligent but not ...example, system modeling technique through the neural ...
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Fast Transient Hybrid Neuro Fuzzy Controller for STATCOM During Unbalanced Voltage Sags
... STATCOM control during balanced and unbalanced voltage ...artificial neural network was used in order to implement the neuro- fuzzy system with the minimum fuzzy rules and computational ...
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Application of Fuzzy PID Adaptive Algorithm Based on RBF Network in Smart Car
... intelligent control, sensor technology, communication technology and so ...car system is the closed-loop control ...car system is through the micro control unit to coordinate ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... adaptive fuzzy-neuro-wavelet dynamic sliding-mode control (AFDSC) system which is composed of a neural controller and a switching compensator is ...The neural controller using a FWNN is ...
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Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System
... The fuzzy logic is an effective method used for mapping précis decision from composite system having pale, uncertain, or imprecise order, was first reported by ...regard, fuzzy based system ...
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The Applied Artificial Intelligence to the Control Electronics Improving the Energy Efficiency of Ventilation Systems in the Industry
... current control of the combustion air system and the energy reserves present, since manually the excess air flow is regulated, while the fans work at full capacity all the time what produces an unnecessary ...
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A Neural Fuzzy System for Vibration Control in Flexible Structures
... To facilitate illustration, the vibration suppression work- station developed for this research work is illustrated in Figure 1. The tested flexible beam can be with different materials, structures, and orientations; a ...
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Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... sewerage system in Taipei ...sewerage system is the water level gauging sta- tion, YC10, marked by a red ...cannot control the water level under the level of ...
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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot
... to control its velocity because of its nature of pitch falling if left ...TWIP. Fuzzy Logic Control (FLC), Neural Network Inverse Model control (NN) and an Adaptive Neuro-Fuzzy ...
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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 ...the system i.e. fuzzy logic and neural ...speed control of IM. The fuzzy logic controller and neurons of ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... motor system. With the combined synergy of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault ...
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Highly nonlinear control of a solar thermal power plant using soft computing fuzzy tuning techniques
... Sugeno-type fuzzy incremental controller was tuned using an ANFIS (Adaptive Neural Fuzzy Inference System) to optimise the fuzzy controller’s pre-clustered input membership functions, ...
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