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» Nonlinear hybrid system identification with kernel models
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AUTOMATICA
2010
167views more  AUTOMATICA 2010»
14 years 9 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao
AUTOMATICA
2004
119views more  AUTOMATICA 2004»
14 years 9 months ago
Hammerstein-Wiener system estimator initialization
In nonlinear system identification, the system is often represented as a series of blocks linked together. Such block-oriented models are built with static nonlinear subsystems an...
Philippe Crama, Johan Schoukens
INFORMATICALT
2006
129views more  INFORMATICALT 2006»
14 years 9 months ago
On the Identification of Hammerstein Systems Having Saturation-like Functions with Positive Slopes
Abstract. The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the sat...
Rimantas Pupeikis
BMCBI
2008
93views more  BMCBI 2008»
14 years 9 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
102
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CDC
2010
IEEE
170views Control Systems» more  CDC 2010»
14 years 4 months ago
Motion planning with hybrid dynamics and temporal goals
In this paper, we consider the problem of motion planning for mobile robots with nonlinear hybrid dynamics, and high-level temporal goals. We use a multi-layered synergistic framew...
Amit Bhatia, Lydia E. Kavraki, Moshe Y. Vardi