—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...
— This paper extends a state projection method for structure preserving model reduction to situations where only a weaker notion of system structure is available. This weaker not...
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, ...
—To deal with the estimation problem for systems subject to constraints while the corresponding noise processes are not completely known, the adaptive constraint-filtering method...
Abstract— A broad class of problems in circuits, electromagnetics, and optics can be expressed as finding some parameters of a linear system with a specific type. This paper is...
Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John ...
— We propose a new family of classification algorithms in the spirit of support vector machines, that builds in non-conservative protection to noise and controls overfitting. O...