Using a distributed parameter model for beaver population that accounts for their spatial and temporal behavior, an optimal control for a desired distribution of the animals is presented. Optimal solutions are obtained through a "single network adaptive critic" (SNAC) neural network architecture. The objective of this research is to design an "optimal" beaver harvesting scheme for a region of interest.
R. Padhi and S. N. Balakrishnan, "Optimal Beaver Population Management Using Reduced Order Distributed Parameter Model and Single Network Adaptive Critics," Proceedings of the 2004 American Control Conference, 2004, Institute of Electrical and Electronics Engineers (IEEE), Jan 2004.
2004 American Control Conference, 2004
Mechanical and Aerospace Engineering
Keywords and Phrases
Animals; Beaver Harvesting Scheme; Distributed Parameter Systems; Ecology; Environmental Factors; Neural Net Architecture; Neural Network Architecture; Neurocontrollers; Optimal Beaver Population Management; Optimal Control; Reduced Order Distributed Parameter Model; Reduced Order Systems; Single Network Adaptive Critics; Spatial Behavior; Temporal Behavior; Zoology
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.