model-based fuzzy control
A New Approach to Intelligent Model Based Predictive Control Scheme
... linear model based predictive control theory has been widely used in so many applications, in the past two ...This control theory guarantees that the future error signals will be approached to ...
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Multi-Dimensional Supervisory Fuzzy Logic Time Control DEV Processing System for Industrial Applications
... design model of a fuzzy logic time control discrete event DEV system under the control of multi-agents based supervisory control in local and distributed environment for ...
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PERFORMANCE COMPARISON OF BOOST CONVERTER BY USING FUZZY LOGIC CONTROLLER
... A fuzzy bilinear state feedback controller based on Tagaki–Sugeno (TS) fuzzy bilinear model for DC–DC converters is presented [9] ...bilinear model via Taylor series ...converter ...
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Design of Soft Computing Control Techniques for Two Area Load Frequency Control
... frequency control of two area power system using Fuzzy based PI Control and Fuzzy Logic Control, generation control is becoming increasingly important in view of increased ...
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Fuzzy Logic controller Based Adaptive Dc Link Voltage Control For Common Point Interface Voltage Variations in a 3- Phase Grid Tied SPV system
... simple control scheme is presented for grid interfaced PV system with adaptive DC link voltage structure for CPI voltage ...current control not according to worst case ...linearised model of DC link ...
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Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops
... in fuzzy control system based on crop water stress acoustic monitoring was designed in the ...double fuzzy control model was found to carry out two work mode, normal irrigation ...
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MPC Based Fuzzy Logic Controller for Non Linear Process
... MPC based fuzzy controller algorithm is simple and robust to handle the model inaccuracies and hence using MPC-Fuzzy tuning method a clear trade-off between closed-loop performance and ...
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Fuzzy Computational Model for Emotion Regulation Based on Affect Control Theory
... our model, this fact was taken into consideration by declaring a random number in a certain range in order to regulate the measurements of the emotional response ...our model comes from injecting a ...
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Decentralized Fuzzy-PID Based Control Model for a Multivariable Liquid Level System
... of fuzzy control provides a worthwhile improvement in the response due to its nonlinear nature ...paper, Fuzzy Logic (FL), whose working principle is according to if-then rules based on expert ...
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Online Full Text
... FNCAC model in the heterogeneous RATs supporting multimedia traffic is studied pitching upon the call blocking probability by varying the utilization rate of the aggregate traffic and the individual ...the ...
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Dynamic Approach of MPPT for PV device by using Adaptive Control and fuzzy controller
... tracking control is expected to obtain MPP without concern for both device and atmospheric ...adaptive control technique is designed to construct the seeking algorithm operate to system states to the ...
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Design of an Adaptive Fuzzy Controller for Antilock Brake Systems
... Numerous control schemes are reported in the literature for controlling the ABSs, such as variable structure control [8], adaptive control [9], predictive control [10], neural control ...
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Research on DC Charger Control Based on Expert Fuzzy PID
... PID control is one of the control strategies developed a long time ago, which has the characteristics of simple and stable and has been widely used by ...of control theories, PID control is ...
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Train Operation Control on-based of Logical-Linguistic Model
... simplified fuzzy inference scheme in which the right-hand sides of the rules are clearly defined, and the fuzzy inference produces a discrete set of solutions for each element that has a certain degree of ...
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Control strategies for automatic gantry crane system
... Finally, non-model based of NCTF controller, was proposed for position control of the gantry crane system while the anti-swing control by using fuzzy logic controller remained the same s[r] ...
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Adaptive Fuzzy Model Predictive Control for Non-minimum Phase and Uncertain Dynamical Nonlinear Systems
... is based on the fact that, in general, only a small number of possible solutions actually need to be enumerated, so the remaining solutions are eliminated through the application of bound, ...
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Modeling and Performance Analysis of Fuzzy Logic Controller Based Direct Torque Control of VLSI Fed Three
... speed control system is not a trivial matter. Scalar speed control method has good steady state response but poor dynamic ...vector control was ...oriented control drive to achieve accurate ...
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The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory
... dynamic model of the subsystem well. Fuzzy adaptive sliding mode control scheme and it’s strengthen scheme were used in uncertain systems and nonlinear uncertain systems in [5] and ...[6]. ...
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Microcontroller Based Robotic Arm Movement ControlRajdeep Kaur, Shivani Arora Abrol
... the model for the robotic arm shows that the proposed model is cost effective and the easy to use for the application where manual process is difficult to ...proposed model is soft computing operated ...
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A Model of Cellular Automata for the Fuzzy Control of Aphids
... using fuzzy set theory [6] to create a model that studies the interaction between a prey (aphid) and its predator (ladybug), instead of using the usual differential equations which characterize the classic ...
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