Recently, probabilistic methods and statistical learning theory have been shown to provide approximate solutions to “difficult” control problems. Unfortunately, the number of samples required in order to guarantee stringent performance levels may be prohibitively large. In this paper, using recent results by the authors, a more efficient statistical algorithm is presented. Using this algorithm we design static output controllers for a nonlinear plant with uncertain delay.
Proceedings of the 38th IEEE Conference on Decision and Control
Chaos, computational complexity, control system synthesis
Abdallah, Chaouki T.; V. Koltchinskii; and M. Ariola. "Statistical learning control of delay systems: theory and algorithms." Proceedings of the 38th IEEE Conference on Decision and Control (1999): 4696-4699. doi:10.1109/CDC.1999.833284.