Open AccessA fast algorithm for multivariable generalized predictive control of Rössler hyperchaotic system
Author(s) -
Chen Zhi-wang,
Wenlong Liu
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.60.050506
Subject(s) - multivariable calculus , feed forward , computer science , control theory (sociology) , algorithm , computation , model predictive control , matrix (chemical analysis) , chaotic , inverse , moore–penrose pseudoinverse , mathematics , control (management) , artificial intelligence , control engineering , materials science , geometry , engineering , composite material
A kind of fast multivariable generalized predictive control algorithm for Rössler hyperchaotic system is proposed. The chaotic system with improved recursive least squares parameter of time-varying forget factor is identified, then the output signals of the system follow fast the reference ones for the application of the feedforward gain matrix and softing coefficient matrix in regular performance index function of multivariable generalized predictive control. Moreover, the reduction of inverse matrix dimensions leads to smaller amount of computation of the algorithm. The simulation results show the effectiveness and practicability of this algorithm.