Analysis and design of switching and fuzzy systems
| buir.advisor | Morgül, Ömer | |
| dc.contributor.author | Akgül, Murat | |
| dc.date.accessioned | 2017-12-12T11:04:42Z | |
| dc.date.available | 2017-12-12T11:04:42Z | |
| dc.date.copyright | 2002-09 | |
| dc.date.issued | 2002-09 | |
| dc.date.submitted | 2002-09 | |
| dc.department | Department of Electrical and Electronics Engineering | en_US |
| dc.description | Cataloged from PDF version of article. | en_US |
| dc.description | Thesis (Ph.D.): Bilkent University, Department of Electrical and Electronic Engineering, İhsan Doğramacı Bilkent University, 2002. | en_US |
| dc.description | Includes bibliographical references (leaves 148-156). | en_US |
| dc.description.abstract | In this thesis we consider the controller design problems for switching and fuzzy systems. In switching systems, the system dynamics and/or control input take dierent forms in different parts of the underlying state space. In fuzzy systems, the system dynamics and/or control input consist of certain logical expressions. From this point of view, it is reasonable to expect certain similarities between these systems. We show that under certain conditions, a switching system may be converted into an equivalent fuzzy system. While the changes in the system variables in a switching system may be abrupt, such changes are typically smooth in a fuzzy system. Therefore obtaining such an equivalent fuzzy system may inherit the stability properties of the original switching system while smoothing the system dynamics. Motivated from this idea we propose various switching strategies for certain classes of nonlinear systems and provide some stability results. Due to the dificulties in designing such switching rules for nonlinear systems, most of the results are developed for certain specific type of systems. Due to the logical structure, obtaining rigorous stability results are very difficult for fuzzy systems. We propose a fuzzy controller design method and prove a stability result under certain conditions. The proposed method may also be applied to function approximation. We also consider a different stabilization method, namely phase portrait matching, in which the main aim is to choose the control input appropriately so that the dynamics of the closed-loop system is close to a given desired dynamics. If this is achieved, then the phase portrait of the closed-loop system will also be close to a desired phase portrait. We propose various schemes to achieve this task. | en_US |
| dc.description.degree | Ph.D. | en_US |
| dc.description.provenance | Submitted by Betül Özen (ozen@bilkent.edu.tr) on 2017-12-12T11:04:42Z No. of bitstreams: 1 0002171.pdf: 2582870 bytes, checksum: cfc4e50cebe5b0d47de805e84e293b5b (MD5) | en |
| dc.description.provenance | Made available in DSpace on 2017-12-12T11:04:42Z (GMT). No. of bitstreams: 1 0002171.pdf: 2582870 bytes, checksum: cfc4e50cebe5b0d47de805e84e293b5b (MD5) Previous issue date: 2002-09 | en |
| dc.description.statementofresponsibility | by Murat Akgül. | en_US |
| dc.format.extent | xx, 157 leaves : illustrations ; 30 cm | en_US |
| dc.identifier.itemid | BILKUTUPB068140 | |
| dc.identifier.uri | http://hdl.handle.net/11693/35668 | |
| dc.language.iso | English | en_US |
| dc.publisher | Bilkent University | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Fuzzy systems | en_US |
| dc.subject | Switching systems | en_US |
| dc.subject | Stabilization | en_US |
| dc.subject | Controller design | en_US |
| dc.subject | Driftless systems | en_US |
| dc.subject | Phase portrait matching | en_US |
| dc.subject | Lyapunov functions | en_US |
| dc.subject | Periodic switching | en_US |
| dc.subject.lcc | QA402.3 .A34 2002 | en_US |
| dc.title | Analysis and design of switching and fuzzy systems | en_US |
| dc.title.alternative | Anahtarlamalı ve bulanık sistemlerin analizi ve tasarımı | en_US |
| dc.type | Thesis | en_US |