Design and Performance Assessment of Robust Restricted Structure Optimal Control Systems
Abstract
It is evident that military applications for the 21st century will be highly complex, multivariable systems. Designing optimal controllers for such applications will require the use of mathematical models which describe the complexity of the underlying processes as accurately as possible. For robustness it is essential that these models include the uncertainties in the estimated process dynamics and trajectories. Controllers resulting from optimal control strategies will usually be of very high order, and that can cause implementation and computational problems. Some of these problems can be overcome by using controllers that are of lower order and restricted structure. However, the design and/or tuning of such controllers in order to provide the performance comparable with full-order solutions is still a very contentious issue. Added to this is the need to achieve robust properties and performance specifications required by military applications. Very few methods for designing restricted-structure controllers exist that allow the performance and robustness objectives to be combined into one relatively simple optimisation problem. This lecture presents an LQG/H2-based method that tackles the above mentioned issues.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2004
- Accession Number
- ADA431065
Entities
People
- D. Uduehi
- M. Grimble
- P. Majecki
Organizations
- University of Strathclyde