Treffer: Design and tuning of fuzzy control surface with Bezier functions

Title:
Design and tuning of fuzzy control surface with Bezier functions
Contributors:
Wongsoontorn, Songwut., Florida Atlantic University (Degree grantor), Zhuang, Hanqi (Thesis advisor), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Publisher Information:
Florida Atlantic University
Collection:
FAU Digital Collections (Florida Atlantic University Digital Library)
Document Type:
Fachzeitschrift text
File Description:
223 p.; application/pdf; Electronic Thesis or Dissertation
Language:
English
ISBN:
978-0-542-38590-2
0-542-38590-2
Rights:
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. ; http://rightsstatements.org/vocab/InC/1.0/
Accession Number:
edsbas.59EF3445
Database:
BASE

Weitere Informationen

Design and Tuning a fuzzy logic controller (FLCs) are usually done in two stages. In the first stage, the structure of a FLC is determined based on physical characteristics of the system. In the second stage, the parameters of the FLC are selected to optimize the performance of the system. The task of tuning FLCs can be performed by a number of methods such as adjusting control gains, changing membership functions, modifying control rules and varying control surfaces. A method for the design and tuning of FLCs through modifying their control surfaces is presented in this dissertation. The method can be summarized as follows. First, fuzzy control surfaces are modeled with Bezier functions. Shapes of the control surface are then adjusted through varying Bezier parameters. A Genetic Algorithm (GA) is used to search for the optimal set of parameters based on the control performance criteria. Then, tuned control surfaces are sampled to create rule-based FLCs. To further improve the system performance, continuity constraints of the curves are imposed. Under the continuity constraints with the same number of tunable parameters, one can obtain more flexible curves that have the potential to improve the overall system performance. An important issue is to develop a new method to self-tune a fuzzy PD controller. The method is based on two building blocks: (I) Bezier functions used to model the control surfaces of the fuzzy PD controller; and, shapes of control surfaces are then adjusted by varying Bezier parameters. (II) The next step involves using a gradient-based optimization algorithm with which the input scaling factors and Bezier parameters are on-line tuned until the controller drives the output of the process as close as possible to the reference position. To protect vendors and consumers from being victimized, various trust models have been used in e-commerce practices. However, a strict verification and authentication process may pose unnecessary heavy cost to the vendor. As an application of the control ...