Closed-loop stabilization of dynamical systems over a Gaussian interference channel
Ali Zaidi, Royal Institute of Technology (KTH)
Abstract:
The problem of mean-square stabilization of linear time invariant systems driven by Gaussian noise over a Gaussian interference channel is addressed. We propose to use a linear and memoryless sensing and control scheme based on a coding schemes introduced for Gaussian interference networks. By employing the proposed linear scheme, we obtain an achievable stability region. Further we obtain an outer-bound on the achievable stability region and show that in some special cases linear memory-less schemes can be optimal for mean-square stabilization.
Presentation Slides
Biography:Ali Zaidi received his M.Sc. degree in Wireless Systems from the Royal Institute of Technology (KTH), Sweden, in 2008. Since November 2008, he is a PhD Student in Communication Theory Lab. at KTH. His research interests include sensing and transmission for closed-loop control over communication channels.