neural network control system
Application of PID Neural Network Control System Based on Virtual Instrument
... PID neural network (Fig. 1) is a 3-layers forward network cross parallel by the several PID ...give control value the output object needed [2,3]. In PID neural network, the ...
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Underwater Glider Motion Control Based on Neural Network
... With the rapid development of marine bionic robots, more and more robots are used in ocean exploration and ocean monitoring. The underwater glider can accomplish various tasks and has various functions. At the same time, ...
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Speed Control of DC Motor using PID Controller A Review
... speed control approach focused on genetic algorithm t u n i n g r a d i a l basis function (RBF) neural network controller for brushless DC ...RBF neural network whose structure and ...
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Two degree of freedom Robust Control for a Non minimum Phase Electro hydraulic System
... The increasing numbers of works dealing with EHA system over the past decades involved a linear control, intelligent contol and nonlinear control approaches such as neural network NN [0][r] ...
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Design of radial basis function neural network controller for BLDC motor control system
... satisfied control characteristics by using normal conventional PID ...of neural network was revised in time according to the speed of motor and phase current, the duty cycle of pulse width modulation ...
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Adaptive neural network cascade control system with entropy-based design
... completely different mean values. This suggests that simply minimising entropy-based measures can be misleading in output tracking control. In order to drive the tracking error towards zero, improved minimum error ...
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Artificial Neural Network Classification for Gunshot Detection and Localization System
... [27]. Navrátil, M., Křesálek, V., &Dostálek, P. (2011, May).Neural network classification of gunshots using spectral characteristics. In Proceedings of the 13th WSEAS international conference on ...
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Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor
... artificial neural network results in ANFIS ...neural network. The ANFIS is combination of NN and FLC used for speed control of ...hybrid system the data set are evolved by ...
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Neural-network based vector control of VSCHVDC transmission systems
... the neural network controller shows a fast response speed with low current and voltage ...transmission control between the two VSC stations (Fig. 10). Compared to the neural network ...
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Low Cost Autonomous Vehicle Control System by Using Neural Network
... The neural network used is multi layer feed-forward network with back propagation learning algorithm and is designed using MATLAB programming ...the neural network are distance ...
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IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK IN CONCURRENCY CONTROL OF DISTRIBUTED DATABASE SYSTEM
... Executions of transactions guaranteed to ensure consistency is identified by the concept of serializability with those schedules of reads / write. There are two types of schedule Serial schedule and Non-Serial schedule. ...
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Artificial Neural Network for Control and Grid Integration of Floating Solar Photovoltaic System
... PV system usually includes five parts, an array of PV panels, a DC-DC converter for energy capture from the PV array, a single-phase inverter for grid integration, a DC-link capacitor between the inverter and ...
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Hybrid Adaptive Fuzzy Neural Network Control for Grid-Connected SOFC System
... of system. Above system response show that AFNN control is capable of attaining rapid transient response with efficient rejection to load changes and achieve more stable ...
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Current Control Using Artificial Neural Network for SPV Grid Connected System
... An change Frequency of around twelve kilohertz was used for activating of various gate. Execution of this controller was recorded and is employed to organize the neural systems for future recreations. Detail comes ...
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Optimization Control of Mineral Processing and Crushing System Based on Neural Network PID
... 3s.The system synchronization error is up to 4 m / s ...the system has better adaptability and convergence; The waveform changes little when there is a disturbance, and the maximum error does not exceed ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... load control system in ore grinding ...model-based control strategy such as PID control system to achieve perfect control effect due to the complexity, nonlinear and uncertainty ...
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System Identification Using Neural Network Model for Speed Control of DC Motor
... The neural network consists of junctions which are connected with LINKS, also called processing ...the neural network, the learning process occurring with the appropriate changes of ...the ...
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Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate
... effective control technique to control the ...the neural network forward model to predict the dynamics behavior and the neural network inverse model to control the process ...
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DC Shunt Motor Control using Wavelet Network
... feedback control system is implemented using wavelet neural network, buck DC\DC converter and DC shunt motor model, the parameters of wavelet neural network is optimized using ...
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Uncalibrated visual servo control with neural network
... L = 0.415m is the length o f the robot’s link. The robot has four equal length links. The control system for our robot visual servoing experiment consists o f two personal computers. The image processing ...
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