Robust Analysis and Design of Multivariable Systems
Abstract
In this Final Report, we will describe the work we have performed in robust control theory and nonlinear control, and the utilization of techniques in image processing and computer vision for problems in visual tracking. In our research, we have studied problems in mu-synthesis and analysis for a number of various perturbation classes, the extension of H(infinity) control to a broad class of nonlinear systems, optimization of distributed parameter systems, a new active contour ("snakes") paradigm for visual tracking and shape modeling, and nonlinear geometric invariant diffusion equations for image enhancement and smoothing. We now have a general solution of the standard problem for general classes of nonlinear systems using our nonlinear interpolation procedure. We have emphasized the power & control techniques for some of the key problems in computer vision and image processing, and the importance of the utilization of visual information in a feedback loop. The interface between control and computer vision is one of the important directions in our research program which has emerged from this AFOSR contract.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 07, 1998
- Accession Number
- ADA334886
Entities
People
- Allen R. Tannenbaum
Organizations
- University of Minnesota