[PDF] Top 20 Metodología para la gestión del riesgo en proyectos
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An Overload Window Control Method Based on Fuzzy Logic to Improve SIP Performance
... local overload control methods differing mainly in the rejection policy and overload detection criteria has been introduced and evaluated in the ...on performance of SIP signalling was ... See full document
6
An Improved Data Assimilation Localization Method Based on Fuzzy Logic Control
... assimilation performance become. In this study, we proposed a new fuzzy control-based data assimilation system, named FA (fuzzy analysis) and CF (covariance fuzzy), which coupled ... See full document
13
The Use of Fuzzy-Logic Control to Improve the Ride Comfort of Vehicles
... suspension control with fuzzy ...the fuzzy-logic controller in which a general methodol ogy for constructing a fuzzy-logic controller and assessing its performance is ... See full document
90
Performance improvement of a wind energy system using fuzzy logic based pitch angle control
... also improve the transient stability occurring in the wind energy system ...angle control strategy that can deliver the conditioned output power in windy condition and increase the transient stability ... See full document
94
Improving TCP Performance based on Fuzzy Logic for Mobile Ad hoc Networks
... Transmission Control Protocol (TCP) is designed for wired networks and the sender assumes that packet loss is an indicator of network ...transmission control protocols have been proposed in the literature ... See full document
106
Mitigation of Voltage Fluctuations using fuzzy-based D-STATCOM in High Level Penetration of DG Systems
... a control method for fuzzy based D-STATCOM to relieve variation of positive-sequence and negative-sequence ...to improve the voltage regulation performance. The ability of ... See full document
6
Similarity based non singleton fuzzy logic control for improved performance in UAVs
... non-singleton fuzzy logic controllers (NSFLCs) are capable of capturing input uncertainties, they have been effectively used to control and navigate unmanned aerial vehicles (UAVs) ...simulation- ... See full document
77
To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction
... word Fuzzy is defined as blurred, indistinct, imprecisely defined, confused or ...vague. Fuzzy systems are knowledge based or rule based systems ...a fuzzy system is a knowledge base ... See full document
93
PI voltage control technique for 3 phase induction motor using Simulink and Arduino
... Arduino is an inexpensive, open-source microcontroller board that provides flexibility for introducing concepts such as control systems and mechatronics design. The Arduino platform has wide adoption and support ... See full document
116
An improved fuzzy logic controller for depth control of the videoray pro III underwater vehicle
... Improved Fuzzy Logic Controller for Depth Control of the VideoRay Pro III Underwater Vehicle” is the result of my own research except as cited in the ... See full document
126
Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... a method for tuning of the weight coefficients. The method is Model Predictive Control based on Fuzzy Logic, Genetic Algorithms or B&B, and Adaptive Control ... See full document
181
Improved Sensorless Direct Torque Control of Induction Motor Using Fuzzy Logic and Neural Network Based Duty Ratio Controller
... speed control of induction motor is utilized for high execution and quick torque response ...inverter based torque and flux errors [1], ...current based adaptive Torque and Flux ...(VSI). ... See full document
12
Slip Compensation in Efficiency Optimized Three Phase Induction Motor Drive Systems
... slip control schemes, based on proportional- integral controllers, or by implementing fuzzy logic slip ...of fuzzy logic techniques can be advantageous, even in cases, where the ... See full document
57
Comprehending SIP server overload control methodologies A literature survey
... while SIP dispatcher ought to keep record of the sessions so as to course messages of same session to the same intermediary / proxy ...expansive SIP over-burden control method components: Load ... See full document
118
Design of fuzzy controller of IPMSM for electric vehicle application
... The FCV Electrical Subsystem is composed of four parts as shown in Figure 3.5 which are the electrical motor, the battery, the fuel cell and the DC/DC converter. The electrical motor is a 288 Vdc, 100 kW interior ... See full document
10
Control of Quarter Car Model by Co Simulation with Adams and Matlab
... the control and analysis of various robot ...co-simulation method as a precise simulator by using Adams and Matlab as a co- simulation environment for dynamic modeling and control ...tracking ... See full document
75
PERFORMANCE EVALUATION OF FUZZY LOGIC CONTROL OF INDUCTION MOTOR
... speed control mechanisms, the volts/hertz control scheme is very popular because it provides a wide range of speed control with good running and transient performance also known as scalar ... See full document
116
Design of Induction Motor Drive using Adaptive Fuzzy PI Controller
... comparative performance of fuzzy PI controller with conventional PI controller to control the Induction Motor ...conventional control not perform well for the complex system models during the ... See full document
64
Speed Control of Permanent Magnet DC Motor by using Combination of Adaptive Controller and Fuzzy Controller
... adaptive control falls under the category of Non-dual adaptive ...ordinary control loop consisting of the plant and the regulator, and an outer (or adaptation) loop that adjusts the parameters of the ... See full document
13
Fuzzy Fine tuning of an Optimized PID Control Scheme for Mobile Robot Trajectory Tracking
... motion control is one of the most fundamental topics for mobile ...to control about 90% of industrial processes ...required control performance, when there are variations in the plant ... See full document
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