Session 652 - Modeling, Reduction and Control of Distributed Parameter Systems


Applied Mathematics and Numerical Analysis
Session 652 - Modeling, Reduction and Control of Distributed Parameter Systems
The session encompasses novel theoretical results as well as applications in the areas of model reduction, simulation and control of distributed parameter systems. Specific theoretical topics of interest include, but are not limited to, predictive and fault-tolerant control of linear/nonlinear PDEs, model reduction and control of stochastic PDEs, control of particulate processes based on population balance models, and networked control and monitoring of distributed processes. Applications to advanced materials processing, particulate processes and biological systems are also of interest.
Chair:	Raymond A. Adomaitis
CoChair:	Antonios Armaou
CoSponsor(s):	Systems and Process Control
	652a	A Dynamic Model for a Cupola Furnace Sten Bay Jorgensen, John Bagterp Jorgensen
	652b	Approximation of Actual Number Densities of Age-Structured Cell Division Models Using Stochastic Equations of Population Balances Eric Sherer, Robert E. Hannemann, Ann E. Rundell, Doraiswami Ramkrishna
	652c	Model Predictive Control of Thin Film Porosity Using Stochastic Differential Equations Gangshi Hu, Yiming Lou, Gerassimos Orkoulas, Panagiotis D. Christofides
	652d	Output Feedback Control of Transport-Reaction Processes Using Adaptive Model Reduction Sivakumar Pitchaiah, Antonios Armaou
	652e	Actuator Fault Detection and Reconfiguration In Distributed Processes with Measurement Sampling Constraints Sathyendra Ghantasala, Nael H. El-Farra
	652f	Boundary Predictive Control of Kuramoto-Sivashinsky Equation Stevan Dubljevic
	652g	Model Predictive Control of Granule Microstructure Frantisek Stepanek, Vladislav Nevoral, Mansoor A. Ansari
		Concluding Remarks

See more of Computing and Systems Technology Division

See more of The 2008 Annual Meeting

Applied Mathematics and Numerical Analysis