Browsing by Author "Nounou, H."
Now showing items 1-5 of 5
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Intervention in biological phenomena modeled by S-systems: A model predictive control approach
Meskin, Nader; Nounou, H.; Nounou, M.; Datta, A.; Dougherty, E.R. ( Institute of Electrical and Electronics Engineers Inc. , 2011 , Conference Paper)Recent years have witnessed extensive research activity in modeling genetic regulatory networks (GRNs) as well as in developing therapeutic intervention strategies for such networks. S-systems, which offer a good compromise ... -
Output-feedback model predictive control of biological phenomena modeled by S-systems
Meskin, Nader; Nounou, H.; Nounou, M.; Datta, A.; Dougherty, E.R. ( Institute of Electrical and Electronics Engineers Inc. , 2012 , Conference Paper)Recent years have witnessed extensive research activity in modeling biological phenomena as well as in developing intervention strategies for them. S-systems, which offer a good compromise between accuracy and mathematical ... -
Parameter Estimation of Biological Phenomena Modeled by S-systems: An Extended Kalman Filter Approach
Meskin, N.; Nounou, H.; Nounou, M.; Datta, Aniruddha, 1963-; Dougherty, Edward R. ( IEEE , 2011 , Conference Paper)Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the development of mathematical models for biological phenomena. S-systems, which offer a good compromise ... -
Parameter estimation of biological phenomena: An unscented kalman filter approach
Meskin, Nader; Nounou, H.; Nounou, M.; Datta, A. ( IEEE , 2013 , Article)Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models ... -
Wavelet-based multiscale filtering of genomic data
Nounou, M.; Nounou, H.; Meskin, Nader; Datta, A. ( IEEE Computer Society , 2012 , Conference Paper)Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic microarray data can be used to construct dynamic genetic regulatory ...