Archival Book Chapters

Methods for In Silico Biology Model Construction and Analysis
T. Yuraszeck, P. Chang, K. Gayen, E. Kwei, H. Mirsky, and F.J. Doyle III, “Methods for In Silico Biology Model Construction and Analysis”, in System Biology in Drug Discovery and Development, D.L. Young and S. Michelson, Editors, Wiley, 2010.
Automatic Control in Systems Biology
H. Mirsky, J. Stelling, R. Gunawan, N. Bagheri, S.R. Taylor, E. Kwei, J.E. Shoemaker and F.J. Doyle III, “Automatic Control in Systems Biology”, in Handbook of Automation, S. Nof, Editor, Springer, 2009.
Robustness and Sensitivity Analyses in Cellular Networks
J.E. Shoemaker, P.S. Chang, E.C. Kwei, S.R. Taylor, and F.J. Doyle III, “Robustness and Sensitivity Analyses in Cellular Networks”, in Control Theory and Systems Biology, P. Iglesias, and B.P. Ingalls, Editors, MIT Press, 2009.
Systems Analysis for Systems Biology
S. Hildebrandt, N. Bagheri, R. Gunawan, H. Mirsky, J. Shoemaker, S. Taylor, L. Petzold, and F.J. Doyle III, “Systems Analysis for Systems Biology”, in Systems Biomedicine, E. Liu, and D. Lauffenburger, Editors, Academic Press, 2009.
Temporal Regulation and Temporal Cognition: Biological and Psychological Aspects of Time Stress
R.J. de Pontbriand, L.E. Allender, and F.J. Doyle III, “Temporal Regulation and Temporal Cognition: Biological and Psychological Aspects of Time Stress”, in Performance Under Stress, P.A. Hancock and J.L. Szalma, Editors, Ashgate, 2008.
Neuronal Modeling of the Baroreceptor Reflex with Applications in Process Modeling and Control
F.J. Doyle III, M.A. Henson, B.A. Ogunnaike, J.S. Schwaber, and I. Rybak, “Neuronal Modeling of the Baroreceptor Reflex with Applications in Process Modeling and Control”, in Neural Networks for Control, D.L. Elliott, Editor, Springer Verlag, pp. 89-130, 1997.
Complexity and Robustness of Cellular Systems
J. Stelling, U. Sauer, F.J. Doyle III, and J. Doyle, “Complexity and Robustness of Cellular Systems”, in System Modeling in Cellular Biology, Z. Szallasi, V.Periwal and J. Stelling, Editors, Elsevier, 2005.
Methods to Identify Cellular Architecture and Dynamics from Experimental Data
R. Gunawan, K. Gadkar, and F.J. Doyle III, “Methods to Identify Cellular Architecture and Dynamics from Experimental Data”, in System Modeling in Cellular Biology, Z. Szallasi, V.Periwal and J. Stelling, Editors, MIT Press, 2005.
Chemical Process Characterization for Control Design
N. Hernjak, F.J. Doyle III, B.A. Ogunnaike, and R.K. Pearson, “Chemical Process Characterization for Control Design”, in Integration of Design and Control, P. Seferlis and M. Georgiadis, Editors, Elsevier, 2004.
Nonlinear Multi-rate MPC with Large Scale Fundamental Models: Application to a Continuous Pulp Digester
F.J. Doyle III and P.A. Wisnewski, “Nonlinear Multi-rate MPC with Large Scale Fundamental Models: Application to a Continuous Pulp Digester”, in Nonlinear Model Predictive Control, F. Allgower and A. Zheng, Editors, Birkhaeuser, 2000.
Using the WWW to Teach Process Control in Engineering
F.J. Doyle III, “Using the WWW to Teach Process Control in Engineering”, in Teaching with Technology: 50 Professors from 8 Universities Tell Their Stories, D. Brown, Editor, 2000.
Computational Issues in the Application of Model-based Control to the Pulp and Paper Industry
F.J. Doyle III, “Computational Issues in the Application of Model-based Control to the Pulp and Paper Industry”, in Fundamental Advances and Innovations in the Pulp and Paper Industry, B.N. Brogdon, Editor, 1999.
Approximate I/O-Linearization of Nonlinear Systems
F. Allgöwer and F.J. Doyle III, “Approximate I/O-Linearization of Nonlinear Systems”, in Nonlinear Model-based Control, R. Berber, Editor, 1998.
Nonlinear Process Control: Which Way to the Promised Land?
F.J. Doyle III and F. Allgöwer, “Nonlinear Process Control: Which Way to the Promised Land?”, in Chemical Process Control V: Assessment and Future Directions, J. Kantor, C. Garcia, and B. Carnahan, Editors, AIChE Symp. Series No. 316, Volume 93, 1997.
Fuzzy Neural Network Techniques and their Application for Nonlinear Chemical Process Control
A. Aoyama, F.J. Doyle III and V. Venkatasubramanian, “Fuzzy Neural Network Techniques and their Application for Nonlinear Chemical Process Control”, in Fuzzy Theory Systems Techniques & Applications, C.T. Leondes, Editor, Academic Press, 1997.
Nonlinear Systems Theory
F.J. Doyle III and M.A. Henson, “Nonlinear Systems Theory”, in Nonlinear Process Control, M.A. Henson and D.E. Seborg, Editors, Prentice-Hall, 1997.
Robust Controller Design for a Nonlinear CSTR
F.J. Doyle III, A.P. Packard, and M. Morari, “Robust Controller Design for a Nonlinear CSTR”, in Recent Advances in Robust Control, P. Dorato, Editor, IEEE Press, pp. 456-461, 1990.