Encyclopedia of Systems and Control

Living Edition
| Editors: John Baillieul, Tariq Samad

Randomized Methods for Control of Uncertain Systems

  • Fabrizio Dabbene
  • Roberto Tempo
Living reference work entry

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DOI: https://doi.org/10.1007/978-1-4471-5102-9_133-2

Abstract

In this article, we study the tools and methodologies for the analysis and design of control systems in the presence of random uncertainty. For analysis, the methods are largely based on the Monte Carlo simulation approach, while for design new randomized algorithms have been developed. These methods have been successfully employed in various application areas, which include systems biology; aerospace control; control of hard disk drives; high-speed networks; quantized, embedded, and electric circuits; structural design; and automotive and driver assistance.

Keywords

Randomize Algorithm Convexity Assumption Violation Probability Expect Running Time Monte Carlo Simulation Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.CNR-IEIIT, Politecnico di TorinoTorinoItaly