Residential College | false |
Status | 已發表Published |
System modeling and synchronization of nonlinear chaotic systems with uncertainty and disturbance by innovative fuzzy modeling strategy | |
Li S.-Y.2; Ko L.-W.2; Lin C.-T.2; Tam L.-M.1; Chen H.-K.3; Lao S.-K.1 | |
2013-11-22 | |
Conference Name | IEEE International Conference on Fuzzy Systems (FUZZ) |
Source Publication | 2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013) |
Conference Date | JUL 07-10, 2013 |
Conference Place | Hyderabad, INDIA |
Publisher | IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Abstract | In this paper, an application of the innovative fuzzy model [1] is applied to simulate and synchronize two classical Sprott chaotic systems with unknown noise and disturbance. In traditional Takagi-Sugeno fuzzy (T-S fuzzy) model, there will be 2 linear subsystems (according to 2 fuzzy rules) and m × 2 equations in the T-S fuzzy system, where N is the number of minimum nonlinear terms and m is the order of the system. Through the new fuzzy model, a complicated nonlinear system is linearized to a simple form - linear coupling of only two linear subsystems and the numbers of fuzzy rules can be reduced from 2 to 2 × N. The fuzzy equations become much simpler. There are two Sprott systems in numerical simulations to show the effectiveness and feasibility of new model. © 2013 IEEE. |
Keyword | Fuzz Logic Ge-li Fuzzy Model Linear Matrix Inequality (Lmi) |
DOI | 10.1109/FUZZ-IEEE.2013.6622554 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering |
WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS ID | WOS:000335342800256 |
Scopus ID | 2-s2.0-84887842999 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT OF ELECTROMECHANICAL ENGINEERING |
Corresponding Author | Li S.-Y. |
Affiliation | 1.Universidade de Macau 2.National Chiao Tung University Taiwan 3.Hsiuping University of Science and Technology |
Recommended Citation GB/T 7714 | Li S.-Y.,Ko L.-W.,Lin C.-T.,et al. System modeling and synchronization of nonlinear chaotic systems with uncertainty and disturbance by innovative fuzzy modeling strategy[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013. |
APA | Li S.-Y.., Ko L.-W.., Lin C.-T.., Tam L.-M.., Chen H.-K.., & Lao S.-K. (2013). System modeling and synchronization of nonlinear chaotic systems with uncertainty and disturbance by innovative fuzzy modeling strategy. 2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013). |
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