neural fuzzy control systems
Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation
... the control problem of switched uncertain nonlinear systems has attracted much attention [1], ...nonlinear systems, an adaptive fuzzy output-feedback stabilization control method has ...
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On hybrid intelligence-based control approach with its application to flexible robot system
... as control, electronics, computer, mechanics and ...the fuzzy-based concepts can be discussed in the area of control systems of smart ...The neural network is used to design the ...
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Microwave neural networks and fuzzy classifiers for ES systems
... The last phase is the final homing. At approximately 12 km from the theoretical position o f the target ship, as programmed in the missile navigation system by the launching platform search radar, the homing radar in the ...
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Study of Existing Work on Soft Computing Methodologies and Fusion of Neural Network and Fuzzy Logic for Estimation and Approximation
... house-building. Fuzzy logic systems, considering the city plans, the nearness to cultural, medical, training and educational buildings, the public transportations systems, the other environmental ...
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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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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 ...
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Fast Transient Hybrid Neuro Fuzzy Controller for STATCOM During Unbalanced Voltage Sags
... intelligent control. Fuzzy systems and artificial neural networks are two major categories for implementing system ...that neural network theory can be used to determine the parameters ...
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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 ...the neural networks, is obviously well satisfied for intelligent ...
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Application of Fuzzy PID Adaptive Algorithm Based on RBF Network in Smart Car
... speed control system is a nonlinear time varying systems, to establish a precise mathematical model isn’t easy, using conventional PID control is not very ...RBF neural network with ...
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A Fuzzy-Neural Adaptive Iterative Learning Control for Freeway Traffic Flow Systems
... tracking control problem of traffic flow systems of a single lane freeway with random bounded off-ramp traffic volumes is ...adaptive fuzzy neural network (FNN) controller and an adaptive ...
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Improving the Performance of Electronic Systems Using Matlab As A Simulation Tool
... A very important feature of MATLAB is a collection of increasingly Add-On – Application specific solutions referred to as Tool Boxes. These are comprehensive collections of MATLAB functions referred to as M.-files. ...
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New Results on Multiple Solutions for th-Order Fuzzy Differential Equations under Generalized Differentiability
... the fuzzy derivative was first introduced by Chang and Zadeh 14; it was followed up by Dubois and Prade 15 who used the extension principle in their ...of fuzzy differential equation in a metric space ...for ...
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Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements
... practical systems are very complex, a suitable mathematical model that describes the dynamics of processes is very difficult, if not impossible to ...these systems can be expressed in some form of ...
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Vol 2, No 11 (2014)
... the control of any power electronics drive system(say a motor), to start with a mathematical model of the plant is ...to control the process of the ...
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New Approach of Stability for Time Delay Takagi Sugeno Fuzzy System Based on Fuzzy Weighting Dependent Lyapunov Functionals
... Takagi-Sugeno fuzzy models with time delay. Using fuzzy weighting- dependent Lyapunov-Krasovskii functionals, new sufficient stability criteria are established in terms of Lin- ear Matrix Inequality; hence ...
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Analysis of Advanced Controllers for Temperature Control in a Heat Exchanger
... adaptive, fuzzy fine-tuning and Neural Networks with the necessary operations remaining the ...PID control parameters[14] For the PID Controller in the heat exchanger, the tuned parameters obtained ...
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Survey on Various Types of Noise and Methods for Noise Removal
... section explains intelligent system and differences with traditional information system. Characteristics of intelligent system are explained. Intelligent system is capable to provide numerous advantages over conventional ...
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Sliding Mode Observer based Actuator Fault Reconstruction for a Continuous Reactor
... In this study, a simple SMO is proposed for a special of class of linear systems in the presence of faults/unknown inputs. All the parametric uncertainties/disturbances present in the system are modeled in the ...
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A SYSTEMATIC REVIEW OF MOBILE BASED ASSESSMENT ACCEPTANCE STUDIES FROM 2009 TO 2019
... Another approach has been introduced by (28). In this research paper, they have used a fuzzy system to classify arterial hypertension. After they have built their model, they took 45 records for 40 patients. These ...
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Intelligent System for Efficiency Enhancing Program of Thermal Power Plant: A Case Study
... associate control loop. ELM EXTREM LEARNING MACHINE belong to the artificial neural network ANN ...of neural network with the linguistic expression function of fuzzy ...
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