Prodromos Daoutidis

Prodromos Daoutidis

Professor and Executive Officer
Contact Information
  • Diploma, Chemical Engineering, Aristotelian University of Thessaloniki, 1987
  • M.S.E., Chemical Engineering, University of Michigan, 1988
  • M.S.E., Electrical Engineering: Systems, University of Michigan, 1991
  • Ph.D., Chemical Engineering, University of Michigan, 1991

Research Areas

Recent News:

Research Interests

Research interests:
Process and plant-wide control; dynamic modeling and model reduction; systems biology; control of advanced materials processing; analysis, design and control of energy systems

Research in my group is in the broad area of systems and process control; it brings together modeling, mathematical analysis, control theory and computation, in order to understand the structure and improve the operation of chemical and biological processes and systems.

An increasing number of processes in the chemical and petrochemical industry, and especially in modern technologies such as specialty chemicals, biotechnology and advanced materials, operate in regions of highly nonlinear behavior in order to meet tight product quality specifications, environmental restrictions and energy demands. The development of robust nonlinear control methods has been a dominant theme in control during the last two decades. Our group has pioneered the development of nonlinear controller synthesis methods for broad classes of mathematical models describing the dynamics of typical chemical processes (differential algebraic equation models describing the dynamics of fast-rate processes, partial differential equation models describing transport-reaction processes, and population balance models describing cell population behavior). This effort is on-going, with current focus on estimation and output feedback control, as well as applications to complex reactors and separations.

Tight integration through material and energy recycle is another ubiquitous feature in modern plants. Process integration can lead to significant reduction in capital and operating costs, but also to intricate overall dynamic behavior due to the feedback interactions induced by recycle. Uncovering and analyzing the nonlinear core dynamics of interconnected systems (such as integrated process networks, but also biological networks), as well as accounting for them in controller design, has emerged as a central theme of our current research. The goal is the development of hierarchical plant-wide control methods, which rationally reconcile distributed and supervisory control, allowing thus for flexible and efficient operation of entire networks and plants.

Other efforts in my group revolve around the application of systems approaches to the analysis and simulation of complex biological networks that determine cell metabolism and gene regulation; the modeling, analysis and control of energy production systems; and the control of advanced materials processing operations.

Specific current research projects concern:

  1. the dynamics and control of integrated process networks, such as mass- and heat- integrated reaction-separation networks, heat-integrated separation units and sequences, heat exchanger networks, and interconnections of these;
  2. the development of model reduction methods for deterministic or stochastic models of metabolic and gene regulation networks, as well as general chemical reaction networks;
  3. (in collaboration with Prof. J.J. Derby) the development of novel actuation and control strategies for crystal growth systems; and
  4. the dynamics and control of integrated energy production systems, such as fuel cell processors coupled with chemical reactors for hydrogen production.

Selected Publications

  • Varigonda, S., T. Georgiou and P. Daoutidis, ''Numerical Solution of the Optimal Periodic Control Problem Using Differential Flatness,'' IEEE Trans. Autom. Contr., 49, 271(2004).
  • Gerdtzen, Z., P. Daoutidis and W.S. Hu, ''Nonlinear Reduction for Kinetic Models of Metabolic Reaction Networks", Metabol. Eng., 6, 140 (2004).
  • Sonda, P., A. Yeckel, P. Daoutidis and J.J. Derby, ''Development of Model-Based Control for Bridgman Crystal Growth,'' J. Crystal Growth, 266, 182 (2004).
  • Mantzaris, N. V. and P. Daoutidis, ''Cell Population Balance Modeling and Control in Continuous Bioreactors,'' J. Proc. Contr., 14, 775 (2004).
  • Contou-Carrere, M. N., Baldea, M. and P. Daoutidis, ''Dynamic Precompensation and Output Feedback Control of Integrated Process Networks,'' I & EC Res., 43, 3528 (2004).
  • Sonda, P., A. Yeckel, J.J. Derby and P. Daoutidis, ''The Feedback Control of the Vertical Bridgman Crystal Growth Process by Crucible Rotation: Two Case Studies,'' Comp. Chem. Engng., 29, 887 (2005).
  • Contou-Carrere, M-N. and P. Daoutidis, ''An Output Feedback Precompensator for Nonlinear Differential-Algebraic-Equation Systems with Control Dependent State-Space,'' IEEE Trans. Autom. Contr., 50, 1831 (2005).
  • Baldea, M. and P. Daoutidis, "Model Reduction and Control of Reactor - Heat Exchanger Networks," J. Proc. Contr., 16, 265 (2006).
  • Lun, L., A. Yeckel, P. Daoutidis and J.J. Derby, '' Decreasing Lateral Segregation in Cadmium Zinc Telluride via Ampoule Tilting during Vertical Bridgman Growth, '' J. Crystal Growth, 291, 348 (2006).
  • Baldea, M., P. Daoutidis and A. Kumar, "Dynamics and Control of Integrated Process Networks with Purge Streams," AIChE J., 52, 1460 (2006).
  • Vora, N., M.N. Contou-Carrere,''Model Reduction of Multiple Time Scale Processes in Non-standard Singularly Perturbed Form,'' A. Gorban et al. editors, Coarse Graining and Model Reduction Approaches for Multiscale Phenomena, Lecture Notes Series, Springer-Verlag, Berlin (2006).
  • Baldea, M. and P. Daoutidis, "Control of Integrated Process Networks – A Multi-Time-Perspective," Comp. Chem. Engng., in press (2007).
  • Baldea, M. and P. Daoutidis, "Dynamics and Control of Auto-thermal Reactors for the Production of Hydrogen ," Chem. Eng. Sci., in press (2007).

Contact Information

Department of Chemical Engineering and Materials Science

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