Summary
Chaotic systems are a class of systems with high sensitivity to initial conditions. Stabilization of periodic solutions is an important problem in the study and exploitation of such systems. While this problem is widely addressed in the literature, existing methods assume the system model to be known or have known uncertainty bounds and known input gains. The main contribution of this paper is the development of an adaptive delayed feedback strategy to address chaos control in a more general class of high-order nonlinear systems with multiple degrees of freedom and with unknown parameters. The results are validated by a simulation example.
