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» Observability of Linear Hybrid Systems
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ICML
2006
IEEE
16 years 19 days ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
CORR
2010
Springer
102views Education» more  CORR 2010»
14 years 12 months ago
Stable Takens' Embeddings for Linear Dynamical Systems
Takens' Embedding Theorem remarkably established that concatenating M previous outputs of a dynamical system into a vector (called a delay coordinate map) can be a one-to-one...
Han Lun Yap, Christopher J. Rozell
TSP
2012
13 years 7 months ago
Parametrization of Linear Systems Using Diffusion Kernels
—Modeling natural and artificial systems has played a key role in various applications and has long been a task that has drawn enormous efforts. In this work, instead of explori...
Ronen Talmon, Dan Kushnir, Ronald R. Coifman, Isra...
HAPTICS
2005
IEEE
15 years 5 months ago
The Maxima Haptics Package -- A Tool for Symbolic Analysis of Haptics and Teleoperation
The Maxima Haptics Package is a free software package for symbolic analysis of linear models of haptic devices and teleoperators. From a mechanical model of the haptic device, the...
Göran A. V. Christiansson
CDC
2010
IEEE
205views Control Systems» more  CDC 2010»
14 years 6 months ago
Geometric control of patterned linear systems
es of circulant matrices. Our class is broader than just circulants, and we study patterned systems using abstract algebra, specifically the observation that a set of matrices with...
Sarah C. Hamilton, Mireille E. Broucke