Sciweavers

46 search results - page 5 / 10
» Reachability analysis of nonlinear systems with uncertain pa...
Sort
View
NIPS
1998
13 years 9 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 7 months ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
MCS
2008
Springer
13 years 7 months ago
On the stability analysis of nonlinear systems using polynomial Lyapunov functions
In the stability study of nonlinear systems, not to found feasible solution for the LMI problem associated with a quadratic Lyapunov function shows that it doesn't exist posi...
Hajer Bouzaouache, Naceur Benhadj Braiek
ISER
1995
Springer
100views Robotics» more  ISER 1995»
13 years 11 months ago
Parameter Sensitivity Analysis for Design and Control of Tendon Transmissions
We apply sensitivity analysis to the design and control of a tendon transmission. With this approach, some prefered values for the system parameters and a feedback compensator can...
Vincent Hayward, Juan Manuel Cruz-Hernández
TSP
2012
12 years 3 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...