Open AccessA fast algorithm with convergence for generalized predictive function control of Hnon chaotic system
Author(s) -
Wenlong Liu,
Pang Shuang-Jie,
Jifeng Zhang
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.110505
Subject(s) - chaotic , computer science , control theory (sociology) , convergence (economics) , model predictive control , algorithm , function (biology) , feed forward , computation , matrix (chemical analysis) , control (management) , artificial intelligence , control engineering , evolutionary biology , biology , materials science , engineering , economics , composite material , economic growth
A kind of fast generalized predictive function control algorithm with convergence of tracking for Hnon chaotic system is proposed. First, based on the existing generalized predictive function control algorithm, the matrix inversion computation in the control law is avoided because special basis functions are selected according to the motion characteristics of chaotic system and the change trend of practical control input. Then, by introducing the determinate feedforward gain matrix into performance index function, it is convergent that the output of Hnon chaotic system follows reference signal. The simulated results show the effectiveness of this algorithm.