Constrained optimal synthesis and robustness analysis by randomized algorithms

1 January 1998

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 3 (07431619) , 1429-1433 vol.3
https://doi.org/10.1109/acc.1998.707061

Abstract

We extend the existing order statistics distribution theory to the general case in which the order statistics is associated with certain constraints and the distribution of population is not assumed to be absolutely continuous. In particular, we derive an inequality on distribution for related order statistics. Moreover, we also propose two different approaches in searching reliable solutions to the robust analysis and optimal synthesis problems under constraints. Furthermore, minimum computational effort is investigated and bounds for sample size are derived.

Keywords

ROBUSTNESS
ALGORITHM DESIGN AND ANALYSIS
ROBUST CONTROL
STATISTICAL DISTRIBUTIONS
CONSTRAINT THEORY
STATISTICAL ANALYSIS
CONTROL SYSTEM SYNTHESIS
HYDROGEN
UPPER BOUND
EXTRATERRESTRIAL MEASUREMENTS

This publication has 1 reference indexed in Scilit:

A monte carlo approach to the analysis of control system robustness
Automatica, 1993