5 citations · 8 across the 5 of their papers we have counts for
8 papers · 1 filter
A Projected Subgradient Method for the Computation of Adapted Metrics for Dynamical Systems
Maurício Louzeiro, Christoph Kawan, Sigurdur Hafstein +2
In this paper, we extend a recently established subgradient method for the computation of Riemannian metrics that optimizes certain singular value functions associated with dynamic…
Ergodicity of Controlled Stochastic Nonlinear Systems under Information Constraints: Refined Bounds via Splitting
Nicolás Garcia, Christoph Kawan, Serdar Yüksel
This paper considers the problem of stabilizing a discrete-time non-linear stochastic system over a finite capacity noiseless channel. Our focus is on systems which decompose into…
ISS small-gain criteria for infinite networks with linear gain functions
Andrii Mironchenko, Navid Noroozi, Christoph Kawan +1
This paper provides a Lyapunov-based small-gain theorem for input-to-state stability (ISS) of networks composed of infinitely many finite-dimensional systems. We model these networ…
A subgradient algorithm for data-rate optimization in the remote state estimation problem
Christoph Kawan, Sigurdur Hafstein, Peter Giesl
In the remote state estimation problem, an observer tries to reconstruct the state of a dynamical system at a remote location, where no direct sensor measurements are available. Th…
Ergodicity Conditions For Controlled Stochastic Non-Linear Systems Under Information Constraints
Nicolas Garcia, Christoph Kawan, Serdar Yuksel
Consider a stochastic nonlinear system controlled over a possibly noisy communication channel. An important problem is to characterize the largest class of channels for which there…
A Lyapunov-based small-gain theorem for infinite networks
Christoph Kawan, Andrii Mironchenko, Abdalla Swikir +2
This paper presents a small-gain theorem for networks composed of a countably infinite number of finite-dimensional subsystems. Assuming that each subsystem is exponentially input-…