9222486 Pearson This proposal is concerned with developing theory and computational tools that will aid in the design of hybrid systems (e.g.,continuous-time plants, discrete-time compensators). In particular it is concerned with problems in which the objectives will be to minimize maximum error magnitudes and rates of change, when input signals have bounded magnitudes and rates of change. In addition to developing methods for nominal optimization problems, the proposal is also concerned with developing efficient methods to treat robust design, i.e. optimization under plant uncertainty. ***

Project Start
Project End
Budget Start
1993-08-15
Budget End
1997-07-31
Support Year
Fiscal Year
1992
Total Cost
$180,000
Indirect Cost
Name
Rice University
Department
Type
DUNS #
City
Houston
State
TX
Country
United States
Zip Code
77005