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.
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.
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.
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.
F. Allgöwer and F.J. Doyle III, “Approximate I/O-Linearization of Nonlinear Systems”, in Nonlinear Model-based Control, R. Berber, Editor, 1998.
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.
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.
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.
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.
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
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Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
