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

PLoS One. 2017 May 3;12(5):e0175730. doi: 10.1371/journal.pone.0175730. eCollection 2017.

Abstract

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.

MeSH terms

  • Algorithms
  • Models, Theoretical
  • Nonlinear Dynamics*

Grants and funding

This work was supported in part by the National Nature Science Foundation of China (Key Program: No. 61533011; General Program: Nos. 61273088, 61473133), the Nature Science Foundation of Shandong Province, China (Nos. ZR2014FL015, ZR2015AL015), Doctoral Research Foundation of University of Jinan (No. XBS1531) and the Foundation for University Young Key Teacher Program of Shandong Provincial Education Department, China.