fuzzy-neural adaptive control
Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault de- tection/diagnosis process and successful fault detection/diagnosis schemes can be ...two ...
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Adaptive Neural Network Based Fuzzy Sliding Mode Control of Robot Manipulator
... equivalent control. Neural network is used to compute of equivalent ...forward neural network has been ...Function Neural Networks (RBFNN) with a two-layer data processing structure had been ...
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Adaptive Fuzzy Game-based Energy Efficient Localization in 3D Underwater Sensor Networks
... an adaptive fuzzy game-theoretic topology control method, Adaptive EELA, for achieving a high localization performance with low energy ...proposed Adaptive EELA method consists of two ...
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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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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 ...The neural controller using a FWNN ...
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Smart Algorithms to Control a Variable Speed Wind Turbine
... robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive ...
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Adaptive Neuro-Fuzzy Inference System based control of six DOF robot manipulator
... The flowchart of ANFIS procedure is shown in Figure 4. AN FIS distinguishes itself from normal fuzzy logic systems by the adaptive parameters, i.e., both the premise and consequent parameters are ...
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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 modeling is ...
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PSO based neuro fuzzy sliding mode control for a robot manipulator
... of adaptive neural networks to robot manipulator is presented in Perez et ...recurrent neural networks and Lyapunov function methodology. An adaptive type-2 FLC for flexible-joint manipulators ...
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A Fuzzy-Neural Adaptive Iterative Learning Control for Freeway Traffic Flow Systems
... the adaptive laws for the control parameters and time-varying boundary layer are designed to guarantee the closed-loop stability and learning error ...
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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 ...
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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... years, control for uncertain nonlinear systems has aroused widespread interests about it ...Since neural networks and fuzzy logic are universal approximators, the adaptive control ...
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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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Neural Network based Video Quality via Adaptive FEC in Wireless Environment
... Artificial Neural Network (ANN) has proven capability in wireless communications in building wireless intelligent ...applying neural networks is to change from the lengthy analysis and design cycles ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... new control methods based on adaptive Neuro-Fuzzy damping controller and adaptive Artificial Neural Networks damping controller techniques to control a Unified Power Flow ...
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Adaptive Force Control of in Web Handling Systems
... the control performance and robustness property of the corresponding closed-loop ...the control per- formance is ...a neural fuzzy (NF) ...
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Online Full Text
... current control strategies proposed in the literature [4-8], namely, PI control, Average Current Mode Control (ACMC), Sliding Mode Control (SMC) and hysteresis ...current control ...
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Deduction of reservoir operating rules for application in global hydrological models
... Adding more membership functions or input variables to the configuration of the network increases the number of fuzzy rules. It is clear that increasing the time range over which Q and S are considered improves ...
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Adaptive filtering using Lyapunov theory and artificial intelligent techniques
... Further investigations presented in this thesis include the theory and design of RBF neural network-based nonlinear adaptive filters with Lyapunov stability, fuzzy adaptive filters with [r] ...
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Development of Sliding Mode Fuzzy Controller for Advanced Navigation System
... new control law by fusing SMC and fuzzy control for navigation ...new control law by MATLAB/SIMULINK ...system Fuzzy sliding mode controller with developed ...
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