Modern system control tools such as: fuzzy control, neural networks and particle swarm optimization
Fuzzy Artificial Neural Networks and Particle Swarm Optimization Based Enhanced Traffic Signal Controlling System
... signal control method using fuzzy artificial neural network at isolated intersection and ...on fuzzy artificial neural network is used for optimal control of irregular traffic ...
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Improving the accuracy of Iris Recognition System using Neural Network and Particle swarm Optimization
... Neural networks model biological neural networks in the brain and have proven their efficiency in a number of applications such as organization and categorization, prediction, pattern ...
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Predicting the Collapsibility Potential of Unsaturated Soils Using Adaptive Neural Fuzzy Inference System and Particle Swarm Optimization
... articial neural network modeling [10]; Zorlu and Gokceoglu (2008) dealt with predicting the collapsibility index using a double input fuzzy inference system in the Mamdani method [11]; the activities ...
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Optimization of PID Controller Parameters on Flow Rate Control System Using Multiple Effect Evaporator Particle Swarm Optimization
... evaporator neural networks for nonlinear dynamic system modelling and identification ...of system mathematical modeling is done with a data connection through the input-output variables ...
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Real-Time Robust Control of Multilevel Converters Using Artificial neural Networks (ANNs) and Particle Swarm Optimization (PSO) Algorithm
... software tools (e.g., MATHEMATICA or MAPLE) to solve the system of polynomial equations using elimination theory (by computing the resultant polynomial of the ...
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Particle Swarm Optimization Based Fuzzy Neural Like PID Controller for TCP/AQM Router
... traditional control algorithms which have been used only for mechanical or electrical systems are adopted to the area of congested network and their per- formances which are known as relatively ...congestion ...
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Attacks and Intrusion Detection in Cloud Computing Using Neural Networks and Particle Swarm Optimization Algorithms
... detection system at hypervisor layer named hypervisor detector to detect malicious activities in cloud ...a fuzzy-based intrusion detection system designed for target-based models will ...integrating ...
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A fuzzy logic controller for optimal structural control using MR dampers and particle swarm optimization
... higher control levels may be ...of control systems ...binary particle swarm optimization (BPSO) is used to obtain the optimal placement of MR dampers and sensors with the minimum number ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... Chaotic particle swarm optimization (CPSO) is a newly developed optimization technique which combines the benefits of particle swarm optimization (PSO) and the chaotic ...
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Adaptive Control based Particle Swarm Optimization and Chebyshev Neural Network for Chaotic Systems
... Abstract—The control approach for chaotic systems is one of the hottest research topics in nonlinear ...The particle swarm optimization (PSO) algorithm is firstly proposed to search for the ...
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Intelligent control of biped robots: optimal fuzzy tracking control via multi-objective particle swarm optimization and genetic algorithms
... efficient fuzzy control methods, i.e. a fuzzy feedback control method and an adaptive fuzzy control method to suppress the state variables of the Lorenz-Stenflo chaotic ...
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Neuro-Fuzzy DC Motor Speed Control Using Particle Swarm Optimization
... Inference System (ANFIS) control for DC motor speed optimized with swarm collective ...to Fuzzy rules such that the systems are fundamentally ...the Fuzzy inference system and ...
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FREQUENCY CONTROL OF AN ISOLATED HYBRID POWER SYSTEM USING PARTICLE SWARM OPTIMIZATION OPTIMIZED PID CONTROLLER
... power system has been investigated. An efficient control strategy together with artificial intelligence (AI) technique has been used for effectively maintaining the active power ...the system ...
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Automatic Generation Control in Three-Area Power System Operation by using “Particle Swarm Optimization Technique”
... the particle swarm optimization technique is ...the system parameters at nominal value. The main purpose of system generation control is to balance the system generation ...
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Pareto design of fuzzy tracking control based on particle swarm optimization algorithm for a walking robot in the lateral plane on slope
... presented fuzzy tracking control for a walking robot that stepped purely in the lateral plane of a ...slope. Fuzzy control was utilized as an effective control to satisfy criteria for ...
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Optimal Control of Islanded Micro grid Using Particle Swarm Optimization Algorithm
... This paper presents an optimization method to optimize the parameters of the Microgrid controller in islanding mode. The controller optimal parameters have been obtained by using the particle swarm ...
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Multivariable Generalized Predictive Control Using An Improved Particle Swarm Optimization Algorithm
... predictive control (Morari & Lee, 1999) is a very powerful ...the system can be predicted in the extended time ...process control paradigms as suggested in (Richalet, 1993, Qin 1997, Rawlings, ...
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A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM
... Particle Swarm Optimization Algorithm (PSO) is one of swarm intelligence optimization ...the particle swarm is initialized randomly in searching space and each ...
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Particle swarm optimization for neural network learning enhancement
... Artificial Neural Network (ANN) or commonly referred as Neural Network (NN) is an information processing paradigm that is inspired by the way biological nervous systems process the ...prediction, ...
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Particle Swarm Optimization Based Direct Torque Control of Brushless DC Motor
... Torque Control, which is based both on field oriented control (FOC) as well as on the direct self-control ...direct control of stator flux and electrical torque there by reducing the speed ...
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