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Now showing items 1-7 of 7
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Design of microcontroller-based decentralized controller board to drive chiller systems using PID and fuzzy logic algorithms
(SAGE PUBLICATIONS LTD, 2020)This study deals with designing a decentralized multi-input multi-output controller board based on a low-cost microcontroller, which drives both parts of variable-speed scroll compressor and electronic-type expansion valve ... -
Effect of Chaotic Mixing on the Rheological Characterization of Mayonnaise
(IEEE, 2017)In this study, a new mixing method for mayonnaise was developed. A chaotic hand mixer was designed. The speed of the mixer rotor was chaotically changed with the proposed method. Performance of the mixed mayonnaise was ... -
Investigation of Chaotic Mixing Performance on Characteristic Properties of Cake Batter
(IEEE, 2019)Chaotification is the process of making an originally non chaotic system being chaotic by applying a suitable control input. The aim of the study was to create a chaotic mixing mechanism using a kitchen type mixer and to ... -
Learning Feedback Linearization Based Stable Robust Adaptive NARMA Controller Design for Rotary Inverted Pendulum
(IEEE, 2019)This paper presents a Learning Feedback Linearization (LFL) based Nonlinear Auto-Regressive Moving Average (NARMA) controller design for a ROTary inverted PENdulum (ROTPEN) plant. The proposed NARMA controller comprises ... -
Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems
(SPRINGER, 2020)This study presents a nonlinear auto-regressive moving average (NARMA) based online learning controller algorithm providing adaptability, robustness and the closed loop system stability. Both the controller and the plant ... -
Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016)This paper presents a novel online block adaptive learning algorithm for autoregressive moving average (ARMA) controller design based on the real data measured from the plant. The method employs ARMA input-output models ... -
Searching Optimal Values of Identification and Controller Design Horizon Lengths, and Regularization Parameters in NARMA Based Online Learning Controller Design
(IEEE, 2019)This paper presents an analysis on searching the optimal values of the system identification and tracking window lengths, and regularization parameter for the online learning NARMA controller algorithm. Both window lengths ...
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