Design of Distributed and Robust Optimization Algorithms. A Systems Theoretic Approach

Exzellenzinitiative 2020

Simon Michalowsky

ISBN 978-3-8325-5090-5
165 pages, year of publication: 2020
price: 41.00 €
Optimization algorithms are the backbone of many modern technologies. In this thesis, we address the analysis and design of optimization algorithms from a systems theoretic viewpoint. By properly recasting the algorithm design as a controller synthesis problem, we derive methods that enable a systematic design of tailored optimization algorithms.

We consider two specific classes of optimization algorithms: (i) distributed, and (ii) robust optimization algorithms. Concerning (i), we utilize ideas from geometric control in an innovative fashion to derive a novel methodology that enables the design of distributed optimization algorithms under minimal assumptions on the graph topology and the structure of the optimization problem. Concerning (ii), we employ robust control techniques to establish a framework for the analysis of existing algorithms as well as the design of novel robust optimization algorithms with specified guarantees.

cover cover cover cover cover cover cover cover cover
Table of contents (PDF)

Preview (PDF)


  • Verteilte Optimierung
  • Optimierungsalgorithmen
  • Systemtheorie


41.00 €
in stock

39.50 €
51.00 €
55.00 €

(D) = Within Germany
(W) = Abroad

*You can purchase the eBook (PDF) alone or combined with the printed book (eBundle). In both cases we use the payment service of PayPal for charging you - nevertheless it is not necessary to have a PayPal-account. With purchasing the eBook or eBundle you accept our licence for eBooks.

For multi-user or campus licences (MyLibrary) please fill in the form or write an email to