Accession Number:
ADA439266
Title:
Optimal Control through Biologically-Inspired Pursuit
Descriptive Note:
Technical research rept.
Corporate Author:
MARYLAND UNIV COLLEGE PARK
Personal Author(s):
Report Date:
2004-01-01
Pagination or Media Count:
8.0
Abstract:
Inspired by the process by which ants gradually optimize their foraging trails, this paper investigates the cooperative solution of a class of free-final time, partially-constrained final state optimal control problems by a group of dynamic systems. A cooperative, pursuit-based algorithm is proposed for finding optimal solutions by iteratively optimizing an initial feasible control. The proposed algorithm requires only short-range, limited interactions between group members, and avoids the need for a global map of the environment on which the group evolves. The performance of the algorithm is illustrated in a series of numerical experiments.
Descriptors:
Subject Categories:
- Numerical Mathematics
- Operations Research
- Biology