Identification of Nonlinear State-Space Systems From Heterogeneous Datasets (2018)
Attributed to:
Engineering Fellowships for Growth: Systems and control engineering framework for robust and efficient synthetic biology
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/TCNS.2017.2758966
Publication URI: http://dx.doi.org/10.1109/TCNS.2017.2758966
Type: Journal Article/Review
Parent Publication: IEEE Transactions on Control of Network Systems
Issue: 2