Intelligent Control of Uncertain Systems
Abstract
The main objective of this research has been to advance the state-of-the-art in smart control design methodology for the purpose of regulating or otherwise controlling very poorly modeled nonlinear processes. The objective has been approached by examining and modifying a variety hybrid switching control strategies. An important connection is made between the heuristic idea of certainty equivalence and the detectability of an adaptive control system. This observation together with the development of two new switching strategies has yielded provably correct adaptive control techniques applicable to a wide range of problems of practical importance. Among these are methods for automatically calibrating vision-based control systems, for controlling highly uncertain nonholonomic systems, for robustly suppressing from the output of a control system the effect of a disturbance signal consisting of a finite number of sinusoids of unknown frequencies, and for controlling induction motors with uncertain resistances such as those used on TGV trains.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 20, 2000
- Accession Number
- ADA375427
Entities
People
- A. Stephen Morse
Organizations
- Yale University