| dc.creator |
Ali, S. |
|
| dc.creator |
Damodaran, Murali |
|
| dc.creator |
Patera, Anthony T. |
|
| dc.date |
2003-11-19T20:50:04Z |
|
| dc.date |
2003-11-19T20:50:04Z |
|
| dc.date |
2003-01 |
|
| dc.date.accessioned |
2013-10-09T02:32:07Z |
|
| dc.date.available |
2013-10-09T02:32:07Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/3706 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
Optimal parametric design of a system must be able to respond quickly to short term needs as well as long term conditions. To this end, we present an Assess-Predict-Optimize (APO) strategy which allows for easy modification of a system’s characteristics and constraints, enabling quick design adaptation. There are three components to the APO strategy: Assess - extract necessary information from given data; Predict - predict future behavior of system; and Optimize – obtain optimal system configuration based on information from the other components. The APO strategy utilizes three key mathematical ingredients to yield real-time results which would certainly conform to given constraints: dimension reduction of the model, a posteriori error estimation, and optimization methods. The resulting formulation resembles a bilevel optimization problem with an inherent nonconvexity in the inner level. Using a simple infiltration-evaporation model to simulate an irrigation system, we demonstrate the APO strategy’s ability to yield real-time optimal results. The linearized model, described by a coercive elliptic partial differential equation, is discretized by the reduced-basis output bounds method. A primal-dual interior point method is then chosen to solve the resulting APO problem. |
|
| dc.description |
Singapore-MIT Alliance (SMA) |
|
| dc.format |
256590 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
High Performance Computation for Engineered Systems (HPCES); |
|
| dc.subject |
reduced-basis |
|
| dc.subject |
a posteriori error estimation |
|
| dc.subject |
design optimization |
|
| dc.subject |
nonlinear optimization |
|
| dc.subject |
bilevel optimization |
|
| dc.subject |
inverse problems |
|
| dc.title |
Real-Time Optimal Parametric Design of a Simple Infiltration-Evaporation Model Using the Assess-Predict-Optimize (APO) Strategy |
|
| dc.type |
Article |
|