eprintid: 1256
rev_number: 10
eprint_status: archive
userid: 6
dir: disk0/00/00/12/56
datestamp: 2012-04-04 09:18:53
lastmod: 2012-04-04 09:18:53
status_changed: 2012-04-04 09:18:53
type: book_section
metadata_visibility: show
creators_name: Heemels, W.P.M.H.
creators_name: Bemporad, Alberto
creators_id: 
creators_id: alberto.bemporad@imtlucca.it
title: An upper Riemann-Stieltjes approach to stochastic design problems
ispublished: pub
subjects: QA
subjects: T1
divisions: CSA
full_text_status: none
keywords: Approximation methods, Probabilistic logic, Probability density function, Random variables, Stability analysis, Stochastic processes, Vectors 
abstract: In this paper we study a class of stochastic design problems formulated in terms of general inequality conditions on expectations. These inequalities can be used to express various mean square or almost sure stabilization conditions for stochastic systems. In contrast with existing probabilistic methods that only solve such problems with a certain probability (degree of confidence), we propose a novel method that provides a full guarantee that the constructed solution truly solves the original problem. The main idea of our method is based on overapproximating the expectations by suitably constructed upper Riemann-Stieltjes sums and imposing the inequalities on these sums instead. Next to the full guarantee on the constructed solution, the method offers three other advantages. First, it applies to arbitrary probability distributions. Second, under rather mild conditions we can derive a #x201C;converse theorem #x201D; that states that if the original problem is solvable, our method will find a solution by sufficiently refining the upper Riemann-Stieltjes sums. Finally, we will show that convexity of the function used in the expectation can be exploited to obtain convex design conditions in our approach.
date: 2011-12
date_type: published
publisher: IEEE
pagerange: 2871 -2876
event_title: Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
id_number: 10.1109/CDC.2011.6160820
refereed: TRUE
isbn: 978-1-61284-800-6
book_title: Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6160820&isnumber=6159299
citation:   Heemels, W.P.M.H. and Bemporad, Alberto  An upper Riemann-Stieltjes approach to stochastic design problems.   In:  Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC).   IEEE, 2871 -2876.  ISBN 978-1-61284-800-6      (2011)