Papers are sought addressing the design of processes involving biological catalysts. All aspects of process design are relevant, including reaction, separation, and integration of process steps. Whole cell and enzyme processes are of interest, particularly for the production of bulk chemicals. Novel processes utilizing waste chemicals for the production of useful materials would be appropriate for this session. Industrial perspectives and case studies are encouraged, but novel mathematical/empirical descriptions and their application are also of interest.

This session emphasizes papers that address recent advances in the control of chemical process systems. Priority will be given to papers that discuss novel theories and applications, innovative control strategies, or the definition of new problem areas as they relate to process control. The contribution of the paper to the advancement of the state-of-the-art should be clearly stated in the abstract. Authors are strongly encouraged to first seek specific focused sessions in the Area 10b sessions before submitting to this session.

Papers are solicited which address: theoretical developments in nonlinear control of processes and plants; nonlinear analysis tools, including nonlinear model reduction methods; and novel applications of nonlinear analysis and control.

This session focuses on contributions in the area of hybrid dynamical systems that couple continuous dynamical behavior with discrete/logic/event based switching dynamics. Of interest are papers that deal with modeling, identification and/or control of hybrid systems, with emphasis on the impact of this class of theoretical studies on the practice of process control. The contributions of the paper to the advancement of the state-of-the-art should be clearly stated in the abstract with respect to prior work on this topic.

The focus of this session is on theoretical and applied results in the area of process modeling and identification. Examples of the topics of interest include data-driven and theoretical modeling, novel identification algorithms, design of input signals, identification and validation under conditions of inadequate and/or incomplete data, and identification of nonlinear system. Process modeling and identification techniques applied to nontraditional processes and systems are of particular interest.

There are many industrial cases where controllers have satisfactory performance at economically bad setpoint specifications. Also steady-state optimizers may result in setpoints where good control cannot be obtained. Both of these results are unacceptable, so it is important to develop integrated optimization and control strategies. Papers decribing recent research and innovative applications of integrated optimization and control are solicited are solicited for this session.

This session aims to examine new directions for process control research. After the two decades of intensive research on model predictive control, which has achieved a certain level of maturity by now, the process control community is looking for a new concept or methodology that will have the same kind of far-reaching and enduring impact on academic research and industrial practice. We are seeking papers on promising novel approaches that have the potentials of bringing a paradigm shift or opening a brand new application area for process control, to spawn a wide range of research activities in the community.

Posters are solicited in the general area of process systems and control. Topics of interest include but are not limited to dynamics, modeling, identification, estimation, monitoring and control. Contributions from industry and experimental studies are particularly welcome.

Contributions are sought on theoretical and application studies related to process and control system performance analysis and diagnosis. The area covers methods that ensure process safety and operability, detection of abnormal process conditions, high product quality, process optimization and profitability. Topics include but are not limited to monitoring and diagnosis tools based on multivariate statistical methods, multi-scale methods, fuzzy logic, knowledge-based systems, and other system theoretic, statistical, and artificial intelligence methods as well as methods related to sensor fault detection, location, and isolation. Industrial implementations are particularly welcome.

Papers are invited that address recent developments in sensors, optimization, and control for biotechnological and biomedical systems applications. Experimental, theoretical, and computational contributions are encouraged, with application-oriented results preferred to strictly theoretical approaches. Areas of interest include, but are not limited to, novel measurement techniques, model-based optimization strategies, process or experimental design and development, model identification and formulation, and controller synthesis.

Papers focusing on control, identification, model reduction and simulation of distributed parameter systems (DPS) will be solicited. Of particular interest are papers demonstrating new theoretical or computational approaches to the control of DPS. Topics include model reduction and other advanced discretization methods, passivity-based control, multiscale modeling and control methods, and novel techniques for optimization of distributed parameter systems.

In this session we solicit papers reporting on the dynamics and control of all types of electrochemical processes. These processes include, but are not limited to: electro-deposition and etching processes, high power density battery systems and all types of fuel cell systems from individual stacks to balance of plant operations, such as reformers and shift reactors etc. It is requested that dynamic analysis papers pay special attention to assessing the impact of disturbances as well as identifying appropriate process manipulations. Control papers pertaining to feedback structure selection, open-loop trajectory planning, and off-line control are welcomed. Contributions from industrial groups are especially encouraged, as a balance of industry/academic views in the session is desired.

Papers are solicited that present studies on the dynamics of multiscale models consisting of coupled Monte-Carlo and Molecular Dynamics models and continuum-type distributed parameter models. Papers on dynamical analysis, bifurcation studies and order reduction of multiscale models will be considered. Novel techniques for efficient and stable numerical integration of multiscale models and algorithms for the design of low-order feedback controllers will be also considered. All studies on dynamics and control of multiscale models irrespectively of application area will be considered.

Papers are sought that describe: (i) novel numerical algorithms and software that make use of parallel computing resources, and (ii) applications of parallel computing technology and techniques to solve chemical engineering problems. At the session, talks will be clustered by application area, e.g., PDEs, molecular simulations, optimization, and novel applications.

Advances in product design require tighter specifications for particle production across a wide range of industrial applications. Typical particle formation processes include crystallization, flame synthesis, granulation, precipitation, emulsion polymerization, coagulation and other particle assembly techniques. Advancements in sensor technology have, in many cases, enabled in-line monitoring of these processes. Papers are requested in the areas of 1) development of process control strategies with respect to key particle attributes and measurement thereof, and 2) control of the production process in the more classical sense, including PID, feedforward, and more advanced model-based control approaches. Both areas rely implicitly on measurement capability; and while the two have traditionally emanated from distinct technical communities, recent advances in measurement technology are bringing the groups together toward the more productive application of control to particulate processes. Papers that describe industrial or experimental applications are particularly encouraged.

This session will provide a tutorial overview of control issues for polymerization reactors. Speakers will discuss the underlying driving forces that characterize this class of control problems and will describe state-of-the-art control strategies for several representative polymer processes. Five expert speakers* have agreed to share their insight and experience. Professor Harmon Ray, from the University of Wisconsin, Madison, will begin with a 45 minute presentation on the unique characteristics of polymer reactor control problems, including a discussion of fundamental chemistry and physics issues and a summary of related academic research. Dr. David Gay of DuPont will follow with a 45 minute overview of the current state of the art in industry, a discussion of achievable economic benefits, and a summary of the most significant technical problems impeding progress for these control applications. Three subsequent presentations will feature industrial experts from major operating companies, who will describe control applications for a variety of polymer processes, including polyolefins and polyurethanes.

***** Please note that all speakers for this session have been invited, so outside submissions are not solicited for this session. *****

Control of fabrication tools in the manufacturing of materials for microelectronics and other applications has become steadily more important as a way to reduce costs and improve product reliability. The session seeks to promote the interchange of ideas between the more traditional areas of batch chemical process control and the emerging RTP and single wafer processing control research areas, to build off the large body of work that already exists in the first. With the increasing importance of batch and single-wafer processing, new papers in this aspect of tool control will be solicited.