Adaptive control for a class of nonlinear complex dynamical systems with uncertain complex parameters and perturbations

被引:3
|
作者
Liu, Jian [1 ]
Liu, Kexin [2 ]
Liu, Shutang [3 ]
机构
[1] Univ Jinan, Sch Math Sci, Jinan 250022, Shandong, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
[3] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
来源
PLOS ONE | 2017年 / 12卷 / 05期
关键词
FUNCTION PROJECTIVE SYNCHRONIZATION; CHAOTIC ATTRACTOR; FLUIDS; REAL;
D O I
10.1371/journal.pone.0175730
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, adaptive control is extended from real space to complex space, resulting in a new control scheme for a class of n-dimensional time-dependent strict-feedback complex-variable chaotic (hyperchaotic) systems (CVCSs) in the presence of uncertain complex parameters and perturbations, which has not been previously reported in the literature. In detail, we have developed a unified framework for designing the adaptive complex scalar controller to ensure this type of CVCSs asymptotically stable and for selecting complex update laws to estimate unknown complex parameters. In particular, combining Lyapunov functions dependent on complex-valued vectors and back-stepping technique, sufficient criteria on stabilization of CVCSs are derived in the sense of Wirtinger calculus in complex space. Finally, numerical simulation is presented to validate our theoretical results.
引用
收藏
页数:16
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