Show simple item record

dc.contributor.authorPokorný, Miroslav
dc.contributor.authorDočekal, Tomáš
dc.contributor.authorRosinová, Danica
dc.date.accessioned2020-04-22T12:02:02Z
dc.date.available2020-04-22T12:02:02Z
dc.date.issued2020
dc.identifier.citationJournal of Electrical Engineering - Elektrotechnický časopis. 2020, vol. 71, issue 1, p. 1-10.cs
dc.identifier.issn1335-3632
dc.identifier.issn1339-309X
dc.identifier.urihttp://hdl.handle.net/10084/139431
dc.description.abstractUsing the principles of Takagi-Sugeno fuzzy modelling allows the integration of flexible fuzzy approaches and rigorous mathematical tools of linear system theory into one common framework. The rule-based T-S fuzzy model splits a nonlinear system into several linear subsystems. Parallel Distributed Compensation (PDC) controller synthesis uses these T-S fuzzy model rules. The resulting fuzzy controller is nonlinear, based on fuzzy aggregation of state controllers of individual linear subsystems. The system is optimized by the linear quadratic control (LQC) method, its stability is analysed using the Lyapunov method. Stability conditions are guaranteed by a system of linear matrix inequalities (LMIs) formulated and solved for the closed loop system with the proposed PDC controller. The additional GA optimization procedure is introduced, and a new type of its fitness function is proposed to improve the closed-loop system performance.cs
dc.language.isoencs
dc.publisherSlovenská technická univerzita v Bratislavě, Fakulta elektrotechniky a informatiky. Slovenská akadémia vied, Elektrotechnický ústav.cs
dc.relation.ispartofseriesJournal of Electrical Engineering - Elektrotechnický časopiscs
dc.relation.urihttp://doi.org/10.2478/jee-2020-0001cs
dc.rightsThis is an open access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License.cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cs
dc.subjectT-S modelcs
dc.subjectPDC controlcs
dc.subjectLMI approachcs
dc.subjectLQR optimizationcs
dc.subjectGA methodcs
dc.subjectquadrotorcs
dc.titleNonlinear modelling and optimal control via Takagi-Sugeno fuzzy techniques: A quadrotor stabilizationcs
dc.typearticlecs
dc.identifier.doi10.2478/jee-2020-0001
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume71cs
dc.description.issue1cs
dc.description.lastpage10cs
dc.description.firstpage1cs
dc.identifier.wos000521829400001


Files in this item

This item appears in the following Collection(s)

Show simple item record

This is an open access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License.
Except where otherwise noted, this item's license is described as This is an open access article licensed under the Creative Commons Attribution-NonCommercial-NoDerivs License.