Publications

Found 417 results
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Mudumbai R, Johnson M, Madhow U, Bakr O.  2009.  Interference suppression in the presence of quantization errors. Annual Allerton Conference on Communication Control and Computing. :1161-+.
Mudumbai R, Kumar A, Dasgupta S, D. Brown, III R, Madhow U.  2017.  Distributed MIMO Multicast With Protected Receivers: A Scalable Algorithm for Joint Beamforming and Nullforming. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 16:512-525.
Muller I, Kollman C, H. Chase P, Magni L, Kovatchev B, Farret A, Scotton R, Calhoun P, Doyle, III FJ, Place J et al..  2014.  Multicenter Closed-Loop Insulin Delivery Study Points to Challenges for Keeping Blood Glucose in a Safe Range by a Control Algorithm in Adults and Adolescents with Type 1 Diabetes from Various Sites. DIABETES TECHNOLOGY & THERAPEUTICS. 16:613-622.
Munsky B, Khammash M.  2006.  The finite state projection algorithm for the solution of the chemical master equation. JOURNAL OF CHEMICAL PHYSICS. 124
Munsky B, Khammash M.  2008.  The finite state projection approach for the analysis of stochastic noise in gene networks. IEEE TRANSACTIONS ON AUTOMATIC CONTROL. 53:201-214.
Munsky B., Khammash M..  2008.  Transient analysis of stochastic switches and trajectories with applications to gene regulatory networks. IET SYSTEMS BIOLOGY. 2:323-333.
Munsky B, Khammash M.  2007.  A multiple time interval finite state projection algorithm for the solution to the chemical master equation. JOURNAL OF COMPUTATIONAL PHYSICS. 226:818-835.
Munsky B, Khammash M.  2008.  Computation of switch time distributions in stochastic gene regulatory networks. PROCEEDINGS OF THE AMERICAN CONTROL CONFERENCE. :2761-2766.
Munsky B, Khammash M, Peles S.  2006.  Reduction and solution of the chemical master equation using time scale separation and finite state projection. JOURNAL OF CHEMICAL PHYSICS. 125
Munsky B, Khammash M, Peles S.  2007.  Stochastic analysis of gene regulatory networks using finite state projections and singular perturbation. Proceedings of the American Control Conference. :5634-5639.
Munsky B, Khammash M.  2006.  A reduced model solution for the chemical master equation arising in stochastic analyses of biological networks. IEEE Conference on Decision and Control. :27-+.
Munsky B, Khammash M, Trinh B.  2009.  Listening to the noise: random fluctuations reveal gene network parameters. MOLECULAR SYSTEMS BIOLOGY. 5
Munsky B., Khammash M..  2010.  Identification from stochastic cell-to-cell variation: a genetic switch case study. IET SYSTEMS BIOLOGY. 4:356-366.
Munsky B, Khammash M.  2008.  Using Noise Transmission Properties to Identify Stochastic Gene Regulatory Networks. IEEE Conference on Decision and Control. :768-773.
Murakami K, SEBORG DE.  2000.  Constrained parameter estimation with applications to blending operations. JOURNAL OF PROCESS CONTROL. 10:195-202.
Murakami K, SEBORG DE.  1999.  Constrained parameter estimation with applications to blending operations. :229-234.
Murray RM, Orosz G, Moehlis J.  2010.  Controlling biological networks by time-delayed signals. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES. 368:439-454.

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