• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
T. Takagi, M. Sugeno, 1985, Fuzzy identification of systems and its applications to modeling and control, EEE Tran- sactions on System, Man, and Cybernetics, Vol. SMC-15, No. 2, pp. 116-132DOI
2 
L. Shanmugam, Y. H. Joo, 1985, Design of Interval Type-2 Fuzzy-based Sampled-Data Controller for Nonlinear Systems Using Novel Fuzzy Lyapunov Functional and Its Applica- tion to PMSM,, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, Vol. SMC-15, No. 2, pp. 116-132DOI
3 
H. Li, J. Wang, H. K. Lam, Q. Zhou, H. Du, 2016, Adaptive sliding mode control fo interval type-2 fuzzy systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 46, No. 12, pp. 1654-1663DOI
4 
H. Li, X. Sun, p.Shi, H. K. Lam, 2015, Control design of interval type-2 fuzzy systems with actuator fault: Sampled- data control approach, Information Sciences, Vol. 302, pp. 1-13DOI
5 
S. Arunagirinathan, P.Muthukumar, Y. H. Joo, 2019, Robust reliable control design for networked control systems with nonlinear actuator faults and randomly missing measure- ments, International Journal of Robust and Nonlinear Control, Vol. 29, No. 12, pp. 4168-4190DOI
6 
H. Li, J. Yu, C. Hilton, H. Liu, 2013, Adaptive sliding-mode control for nonlinear active suspension vehicle systems using T-S fuzzy approach, IEEE Transactions on Industrial Elec- tornics, Vol. 60, No. 8, pp. 3328-3338DOI
7 
S. Hwang, J. B. Park, Y. H. Joo, 2019, Disturbance observer- based integral fuzzy sliding-mode control and its application to wind turbine system, IET Control Theory and Appli- cations, Vol. 13, No. 12, pp. 1891-1900DOI
8 
H. S. Kim, J. B. park, Y. H. Joo, 2019, Fuzzy-model- based sampled-data chaotic synchronisation under the input con- straints consideration, IET Control Theory and Applications, Vol. 13, No. 2, pp. 288-296DOI
9 
J. H. Kim, C. W. Park, E. Kim, M. Park, 2005, Adaptive synchronization of T-S fuzzy chaotic systems with unknown parameters, Chaos, Solitons and Fractals, Vol. 24, pp. 1353-1361DOI
10 
S. K. Nguang, 2010, Comments on "Fuzzy $H_{\infty}$ tracking control for nonlinear networked control systems in T-S fuzzy model", EEE Transactions on Systems, Man, and Cybernetics: Cybernetics, Vol. 40, No. 3, pp. 957DOI
11 
H. K. Lam, H. Li, C. Deters, E. L. Secco, H. A. Wurde- mann, K. Althoefer, 2014, Control design for interval type-2 fuzzy systems under imperfect premise matching, IEEE Transactions on Industrial Electronics, Vol. 61, No. 2, pp. 956-967DOI
12 
H. S. Kim, J. B. Park, Y. H. Joo, 2016, Less conservative robust stabilization conditions for the uncertain polynomial fuzzy system under perfect and imperfect premise match- ing, International Jouranl of Control, Automation, and Systems, Vol. 14, No. 6, pp. 1588-1598DOI
13 
H. J. Kim, J. B. Park, Y. H. Joo, 2017, $H_{\infty}$ fuzzy filter for non-linear sampled-data systems under imperfect premise matching, IET Control Theory and Applications, Vol. 11, No. 5, pp. 747-755DOI
14 
H. J. Lee, J. B. Park, G. Chen, 2001, Robust fuzzy control of nonlinear systems with parametric uncertainties, IEEE Transactions on Fuzzy Systems, Vol. 9, No. 2, pp. 369-379DOI
15 
S. H. Hwang, J. B. Park, Y. H. Joo, August 2019, Disturbance observer-based integral fuzzy liding-mode control and its application to wind turbine system, IET Control Theory and Applications, Vol. 13, No. 12, pp. 1891-1900DOI
16 
H. S. Kim, J. B. Park, Y. H. Joo, 2018, Sampled-data control of fuzzy systems based on the intelligent digital redesign technique: an input-delay approach, International Journal of Control, Automation and Systems, Vol. 16, No. 1, pp. 327-334DOI
17 
H. S. Kim, J. B. Park, Y. H. Joo, 2017, Decentralized sampled-data tracking control of large-scale fuzzy systems: an exact discretization approach,, IEEE Access, Vol. 5, pp. 12668-12681DOI
18 
D. W. Kim, J. B. Park, Y. H. Joo, 2008, Theoretical justifi- cation of approximate norm minimization method for intel- ligent digital redesign, Automatica, Vol. 44, No. 3, pp. 851-856DOI
19 
D. H. Lee, J. B. Park, Y. H. Joo, 2011, Further improve- ment of periodic control approach for relaxed stabilization condition of discrete-time Takagi-Sugeno fuzzy systems, Fuzzy Sets and Systems, Vol. 174, No. 1, pp. 50-65DOI
20 
H. J. Kim, G. B. Koo, J. B. Park, Y. H. Joo, 2015, Decen- tralized sampled-data H∞ fuzzy filter for nonlinear large- scale systems, Fuzzy Sets and Systems, Vol. 273, No. , pp. 68-86DOI
21 
M. K. Song, J. B. Park, Y. H. Joo, 2015, Robust stabili- zation for uncertain Markovian jump fuzzy systems based on free weighting matrix method, Fuzzy Sets and Systems, Vol. 277, pp. 81-96DOI
22 
N. Gnaneswaran, Y. H. Joo, 2019, Event-triggered stabili- sation for T–S fuzzy systems with asynchronous premise constraints and its application to wind turbine system, IET Control Theory and Applications, Vol. 13, No. 10, pp. 1532-1542DOI
23 
N. Gunasekaran, Y. H. Joo, 2019, Stochastic sampled-data controller for T–S fuzzy chaotic systems and its applications, IET Control Theory and Applications, Vol. 13, No. 12, pp. 1834-1843DOI
24 
P. Mani, J. H. Lee, K. W. Kang, Y. H. Joo, 2019, Digital controller design via LMIs for direct-driven surface mounted PMSG-based wind energy conversion system, IEEE Transactions CyberneticsDOI