TY - GEN
T1 - Nonlinear Fuzzy Model Predictive Control of a Class of Chaotic Systems
AU - Wang, Weijie
AU - Gan, Yongmei
AU - Wang, Bin
AU - Zhao, Xia
AU - Yang, Qian
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - A novel fuzzy based model predictive control strategy using fuzzy model is investigated in order to provide a new view about how to design a controller for a class of chaotic systems. At the beginning of this study, a class of chaotic system's Takagi-Sugeno model is presented, then linearized system model can be changed in form of augmented state space model. By the combination of fuzzy linearization technique and linear model predictive control method, a new controller concerning fuzzy and predictive control strategy is designed for a class of chaotic systems, and the detailed theoretical proof is presented. Numerical simulations including two-dimensional non-autonomous chaotic power system and three-dimensional double-wing autonomous chaotic system are shown in this paper. The presented simulation result shows the chaotic system reaches the steady state quickly which proves the suggested scheme's effectiveness and universality.
AB - A novel fuzzy based model predictive control strategy using fuzzy model is investigated in order to provide a new view about how to design a controller for a class of chaotic systems. At the beginning of this study, a class of chaotic system's Takagi-Sugeno model is presented, then linearized system model can be changed in form of augmented state space model. By the combination of fuzzy linearization technique and linear model predictive control method, a new controller concerning fuzzy and predictive control strategy is designed for a class of chaotic systems, and the detailed theoretical proof is presented. Numerical simulations including two-dimensional non-autonomous chaotic power system and three-dimensional double-wing autonomous chaotic system are shown in this paper. The presented simulation result shows the chaotic system reaches the steady state quickly which proves the suggested scheme's effectiveness and universality.
KW - Takagi-Sugeno fuzzy model
KW - model predictive control
KW - nonlinear chaotic systems
UR - https://www.scopus.com/pages/publications/85061004160
U2 - 10.1109/PEAC.2018.8590336
DO - 10.1109/PEAC.2018.8590336
M3 - 会议稿件
AN - SCOPUS:85061004160
T3 - Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
BT - Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Y2 - 4 November 2018 through 7 November 2018
ER -