Quasi-Monte Carlo methods in robust control design

Many practical control problems are so complex that traditional analysis and design methods fail to solve. Consequently, sampling methods that provide approximate solutions to such difficult problems have emerged. In this paper we address the deterministic quasi-Monte Carlo method of sampling and attempt to impose bounds on the error involved in the evaluation of the quality of performance of a specific controller over the whole plant parameter uncertainty space.