Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

A Convex Optimization-Based Approach to Control of Uncertain Execution Platforms

In English

Författare

  • Mikael Lindberg

Summary, in English

The problem of resource management in a sys- tem of a-priori unknown software components executing on nondeterministic hardware is considered. The approach uses on-line parameter estimation to address uncertainties and combines this with a convex optimization-based control scheme able to handle overload situations. An algorithm to solve the optimization in real-time is presented together with perfor- mance analysis through simulations. An implementation of the approach is experimentally compared with a static analysis scheme using worst case a-priori estimates. It is demonstrated that the presented approach outperforms the static scheme in situations with uncertainty and that the advantage increases as uncertainty grows.

Publiceringsår

2010

Språk

Engelska

Sidor

2322-2329

Dokumenttyp

Konferensbidrag

Ämne

  • Control Engineering

Conference name

49th IEEE Conference on Decision and Control

Conference date

2010-12-15

Conference place

Atlanta, Georgia, United States

Status

Published

Forskningsgrupp

  • LCCC