| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 720995 | IFAC Proceedings Volumes | 2007 | 8 Pages |
Abstract
This paper presents a method for planning optimal control for nonlinear processes by using discrete optimization algorithms. The principal concept is to analyze the autonomous dynamics and to use its properties in the design of an optimal state-space trajectory. The analysis is performed in a multi-stage procedure, based on a proper decomposition of an operational subspace into a set of segments. The arrangement of these segments is transformed into a flow graph structure. Flow values characterize the cost of driving the operational point between two adjacent nodes. A discrete optimization algorithm is used to search the state-space graph for an optimal path.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Zdzisław Kowalczuk, Krystyna Rudzinska-Kormańska, Krzysztof E. Oliński,