Approximation of discrete-time LQG compensators for distributed systems with boundary input and unbounded measurement. - J. S. Gibson; I. G. Rosen (Autom., 1988)

On the persistence of excitation in the adaptive estimation of distributed parameter systems. - Michael A. Demetriou; I. Gary Rosen (IEEE Trans. Autom. Control., 1994)

Spectroscopic ellipsometry (SE) based real-time control of CF4 /O2 plasma etching of silicon nitride. - Baris Fidan; Tyler Parent; I. G. Rosen; Anupam Madhukar (ACC, 2000)

Multi-variable adaptive control of CF4/O2 plasma etching of silicon nitride thin films. - Baris Fidan; I. G. Rosen; Tyler Parent; Anupam Madhukar (ACC, 2001)

An adjoint method based approach to data assimilation for a distributed parameter model for the ionosphere. - I. Gary Rosen; Color Wang; George Hajj; Xingcan Pi; Brian Wilson (CDC, 2001)

A neural-network-based approach to determining a robust process recipe for the plasma-enhanced deposition of silicon nitride thin films. - I. Gary Rosen; Tyler Parent; Carolyn Cooper; Ping Chen; Anupam Madhukar (IEEE Trans. Control. Syst. Technol., 2001)

Variable structure model reference adaptive control of parabolic distributed parameter systems. - Michael A. Demetriou; I. G. Rosen (ACC, 2002)

An Elementary Model for Control of a Semiconductor Etching Process. - Anupam Madhukar; Tyler Parent; I. Gary Rosen; Chunming Wang (SIAM Rev., 2002)

Design, development, and testing of real-time feedback controllers for semiconductor etching processes using in situ spectroscopic ellipsometry sensing. - I. G. Rosen; Tyler Parent; Baris Fidan; Chunming Wang; Anupam Madhukar (IEEE Trans. Control. Syst. Technol., 2002)

Unknown Input Observers for a class of distributed parameter systems. - Michael A. Demetriou; I. G. Rosen (CDC/ECC, 2005)

Deconvolving an estimate of breath measured blood alcohol concentration from biosensor collected transdermal ethanol data. - Miguel A. Dumett; I. G. Rosen; J. Sabat; A. Shaman; L. Tempelman; Chunming Wang; R. M. Swift (Appl. Math. Comput., 2008)

A Novel Formulation of the Adjoint Method in the Optimal Design of Quantum Electronic Devices. - Anthony F. J. Levi; I. G. Rosen (SIAM J. Control. Optim., 2010)

Determining blood and/or breath alcohol concentration from transdermal alcohol data. - Susan E. Luczak; I. Gary Rosen; Jordan Weiss (ACC, 2013)

Discrete-Time Blind Deconvolution for Distributed Parameter Systems with Dirichlet Boundary Input and Unbounded Output with Application to a Transdermal Alcohol Biosensor. - I. Gary Rosen; Susan E. Luczak; Weiwei Hu; Michael Hankin (SIAM Conf. on Control and its Applications, 2013)

Estimation of parameters in a distributed parameter model for thin film layered organic photovoltaic cells. - I. Gary Rosen; Chunming Wang; Weiwei Hu; Michael Hankin; Rongjie Lai; Mark E. Thompson; Stephen R. Forrest (ACC, 2014)

Blind deconvolution for distributed parameter systems with unbounded input and output and determining blood alcohol concentration from transdermal biosensor data. - I. Gary Rosen; Susan E. Luczak; Jordan Weiss (Appl. Math. Comput., 2014)

Approximation and convergence in the estimation of random parameters in linear holomorphic semigroups generated by regularly dissipative operators. - Melike Sirlanci; Susan E. Luczak; I. Gary Rosen (ACC, 2017)

Estimating the distribution of random parameters in a diffusion equation forward model for a transdermal alcohol biosensor. - Melike Sirlanci; Susan E. Luczak; Catharine E. Fairbairn; Dahyeon Kang; Ruoxi Pan; Xin Yu; I. Gary Rosen (Autom., 2019)

Bayesian model selection for the Drosophila gap gene network. - Asif Zubair; I. Gary Rosen; Sergey V. Nuzhdin; Paul Marjoram (BMC Bioinform., 2019)

Linear Quadratic Gaussian Control of Random Abstract Parabolic Systems. - Mengsha Yao; Susan E. Luczak; I. G. Rosen (CDC, 2021)

Physics-Informed Learning: Distributed Parameter Systems, Hidden Markov Models, and the Viterbi Algorithm. - Clemens Oszkinat; Susan E. Luczak; I. G. Rosen (ACC, 2022)

An abstract parabolic system-based physics-informed long short-term memory network for estimating breath alcohol concentration from transdermal alcohol biosensor data. - Clemens Oszkinat; Susan E. Luczak; I. Gary Rosen (Neural Comput. Appl., 2022)

Parametric and Non-Parametric Estimation of a Random Diffusion Equation-Based Population Model for Deconvolving Blood/Breath Alcohol Concentration from Transdermal Alcohol Biosensor Data with Uncertainty Quantification*. - Maria Allayioti; Clemens Oszkinat; Emily Saldich; Larry Goldstein; Susan E. Luczak; Chunming Wang; I. G. Rosen (ACC, 2023)

Delta-Method Induced Confidence Bands for a Parameter-Dependent Evolution System with Application to Transdermal Alcohol Concentration Monitoring. - Haoxing Liu; Larry Goldstein; Susan E. Luczak; I. G. Rosen (CDC, 2023)

Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: A population model-based LQG approach in Hilbert space. - Mengsha Yao; Susan E. Luczak; I. Gary Rosen (Autom., 2023)

Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks. - Clemens Oszkinat; Susan E. Luczak; I. G. Rosen (IEEE Trans. Neural Networks Learn. Syst., 2023)