Identification For Robust Control.
Abstract
Since 1978, there has been a history of successful cooperation between control researchers at the University of Minnesota and the Hungarian Academy of Sciences. This cooperative research effort was initially sponsored by the National Science Foundation in the late 1970's and early 1980's and later it has continued on an informal basis to the present. One of the most important areas of research in control theory is the design of feedback controllers for systems which have significant uncertainties in the plant. These uncertainties can result from a lack of precision in mathematical modeling of the plant and/or changes in the plant parameters with time. Two main techniques for design of controllers for systems with significant uncertainties are robust and adaptive control theories. System identification is an important tool in both techniques as well as in many other control design methods. The US cooperating partner has a long experience in designing high performance robust control systems (helicopter flight control, supermaneuverable aircraft control, missile autopilots, etc.). The Hungarian partner has implemented several high performance adaptive controllers for complex processes (national load-frequency control system, chemical composition control at cement raw material handling, combined fineness and effectiveness control at closed circuit grinding mills, etc.). Both sides have long experience in modeling, structure and parameter estimation of sophisticated dynamic systems and have obtained significant achievements in robust control methodologies. KAR) P. 4
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 1995
- Accession Number
- ADA297347
Entities
People
- Laszlo Keviczky
Organizations
- Hungarian Academy of Sciences