caa a22 4500 606159584 CHVBK 20210128100625.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00521-014-1644-7 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1644-7 Stable fuzzy logic control of a general class of chaotic systems [Elektronische Daten] [Radu-Emil Precup, Marius Tomescu] This paper proposes a new approach to the stable design of fuzzy logic control systems that deal with a general class of chaotic processes. The stable design is carried out on the basis of a stability analysis theorem, which employs Lyapunov's direct method and the separate stability analysis of each rule in the fuzzy logic controller (FLC). The stability analysis theorem offers sufficient conditions for the stability of a general class of chaotic processes controlled by Takagi-Sugeno-Kang FLCs. The approach suggested in this paper is advantageous because inserting a new rule requires the fulfillment of only one of the conditions of the stability analysis theorem. Two case studies concerning the fuzzy logic control of representative chaotic systems that belong to the general class of chaotic systems are included in order to illustrate our stable design approach. A set of simulation results is given to validate the theoretical results. Springer-Verlag London, 2014 Chaotic systems nationallicence Fuzzy logic controllers nationallicence Lyapunov's direct method nationallicence Stability analysis nationallicence Precup Radu-Emil Department of Automation and Applied Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, 300223, Timisoara, Romania aut Tomescu Marius Faculty of Computer Science, "Aurel Vlaicu” University of Arad, Complex Universitar M, Str. Elena Dragoi 2, 310330, Arad, Romania aut Neural Computing and Applications Springer London 26/3(2015-04-01), 541-550 0941-0643 26:3<541 2015 26 521 https://doi.org/10.1007/s00521-014-1644-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1644-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Precup Radu-Emil Department of Automation and Applied Informatics, Politehnica University of Timisoara, Bd. V. Parvan 2, 300223, Timisoara, Romania aut NATIONALLICENCE 700 1- Tomescu Marius Faculty of Computer Science, "Aurel Vlaicu” University of Arad, Complex Universitar M, Str. Elena Dragoi 2, 310330, Arad, Romania aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/3(2015-04-01), 541-550 0941-0643 26:3<541 2015 26 521