Generalization of an input-to-state stability preserving Runge‐Kutta method for nonlinear control systems

Generalization of an input-to-state stability preserving Runge‐Kutta method for nonlinear control systems

0.00 Avg rating0 Votes
Article ID: iaor20141406
Volume: 255
Issue: 12
Start Page Number: 346
End Page Number: 352
Publication Date: Jan 2014
Journal: Journal of Computational and Applied Mathematics
Authors: ,
Keywords: programming: nonlinear, optimization, numerical analysis
Abstract:

Given a nonlinear control system that is input‐to‐state stable (ISS) it is assured that the states of the system remain bounded if the input is bounded and the system is global asymptotic stable (GAS) in the sense of Lyapunov in the absence of inputs. Recently, Hu and Liu (2007) [7] studied under which condition ISS of a continuous time nonlinear control system implies ISS of the discrete time system obtained by an implicit Runge–Kutta (RK) method. In this contribution, we extend those results to explicit RK methods. This represents an important extension with respect to applications like system identification where explicit RK methods are presupposed or real‐time applications where the computational burden of implicit RK methods is prohibitive.

Reviews

Required fields are marked *. Your email address will not be published.