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IMA Workshop
Nonlinear Identification and Control
April 27 - May 1, 1998


Organizers:

Yannis Kevrekedis, Chair
P. S. Krishnapasad
Erik Ydstie

The adaptive identification of nonlinear models, from both time series and spatial data, is an important component of modeling and controlling physical systems. Advances in nonlinear process control, and in image acquisition and processing techniques together with the low-dimensionality of the underlying fundamental dynamics set a new stage for the dialogue between modeling and control of nonlinear processes. This short workshop studied several aspects of this dialogue: time series processing, image compression and principal component analysis, adaptive and model predictive control, feedback in distributed systems as well as hybrid systems with continuous and discrete-time components. Industrial participation in this workshop was especially encouraged and additional participants from industry were invited.

Partially supported by the Office of Naval Research.

Click on the titles to find abstracts and/or links to presentation materials

SCHEDULE for MONDAY, APRIL 27
W. Miller, F. Dulles,
Y. Kevrekidis
Welcome and Orientation
Andrzej Banaszuk,
United Technologies Research Center
A Survey of Dynamic Modeling, Analysis and Control Activities at UTRC: Focus on Nonlinear Dynamics and Future Research Opportunities
A. Emami-Naeini,
SC Solutions, Santa Clara, CA
Modeling Issues in Control of Microelectronics Fabrication Processes
Erik Ydstie,
Carnegie Mellon University
Foundations of Process Control
Tariq Samad,
Honeywell Technology Center
Nonlinear Control: Issues and Opportunities for Industrial Applications
Miroslav Krstic,
University of California San Diego
Stochastic Nonlinear Disturbance Attenuation and Adaptive Stabilization
Jaroslav Stark,
UCL
Imbedding for Stochastic and Spatio-temporal Dynamics
SCHEDULE for TUESDAY, APRIL 28
James Rawlings,
University of Wisconsin, Madison
Current Issues in Model-Predictive Control
Roger Brockett,
Harvard University
Putting the Feedback back into Automatic Control
Ionnis Kanellakopoulos,
University of California-Los Angeles
Active Identification for Discrete-Time Nonlinear Systems
Edriss S. Titi,
UC Irvine and LANL
Numerical Criterion for Stabilizing Steady State Solutions of the Navier--Stokes Equations
Costas Kravaris,
University of Michigan
Singular PDE's and the Single--step Formulation of Feedback Linearization With Pole Placement
Yousef Saad,
University of Minnesota
Krylov Subspace Methods for Solving Certain Matrix Problems in Control
L.M. Pismen,
Technion-Israel Insitute of Technology
Wave Turing Resonance and Dynamics of Planforms
SCHEDULE for WEDNESDAY, APRIL 29
Iven Mareels,
University of Melbourne
Estimating the Control and Identification Effort for Chaotic Dynamics
Frank Doyle,
University of Delaware
Input Sequence Design for Nonlinear Model Identification
Anthony Bloch,
University of Michigan
Isospectral Flows and Nonholonomic Stabilization
Dieter Armbruster,
Arizona State University
Dynamics of re-entrant manufacturing systems
Thomas Co,
Michigan Technological University
Parameter estimation of a certain class of nonlinear time varying systems
Raymond Adomaitis,
University of Maryland
A Collocation-Based Approach to Model Reduction for a Tungsten Chemical Vapor Deposition
SCHEDULE for THURSDAY, APRIL 30
John Baillieul,
Boston University
The Geometry of Second Order Control Systems
P.S. Krishnaprasad,
University of Maryland
From smart devices to smart systems
Eduardo Sontag,
Rutgers University
Stabilization, L yapunov-Like Functions, and the Effect of Disturbances
Prodromos Daoutidis,
University of Minnesota
Feedback Control of Nonlinear Differential Algebraic Equation Systems
Yannis Kevrekidis,
Princeton University
Two bifurcation problems arising in a control setting
Workshop Dinner Campus Club
SCHEDULE for FRIDAY, MAY 1
Petar Kokotovic,
University of California Santa Barbara
Constructive Nonlinear Control
Wolfgang Kliemann,
Iowa State University
Towards a Bifurcation Theory of Nonlinear Control Systems
Seminar on Industrial Problems
T. J. Burns,
NIST
Modeling and Simulation of Some High-Speed Manufacturing Processes


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1997-1998 Emerging Applications of Dynamical Systems

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