Global exponential convergence of generalized chaotic systems with multiple time-varying and finite distributed delays

• We study the convergence of generalized chaotic systems with mixed delays.
• The bounds of the entire system are induced by the bounds of its partial variables.
• The delays are multiple time-varying and distributed delays.
• Some novel delay-dependent criteria ensuring convergence to a ball are obtained.
• We give some methods for calculating the maximum convergence rates.

Under some simple conditions, the convergence of a generalized chaotic system about its all variables is derived by only considering the convergence of its partial variables. Furthermore, based on some inequality techniques and employing the Lyapunov method, some novel sufficient criteria are derived to ensure the state variables of the discussed mixed delay system to converge, globally exponentially to a ball in the state space with a pre-specified convergence rate. Meanwhile, the ultimate bounds of the generalized chaotic system about its all variables are induced by the ultimate bounds of the system about its partial variables. Moreover, the maximum convergence rates about partial variables are also given. The methods are simple and valid for the convergence analysis of systems with time-varying and finite distributed delays. Here, the existence and uniqueness of the equilibrium point needs not to be considered. These simple conditions here are easy to be verified in engineering applications. Finally, some illustrated examples are given to show the effectiveness and usefulness of the results.