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» Nonlinear Predictive Control with a Gaussian Process Model
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CDC
2010
IEEE
116views Control Systems» more  CDC 2010»
14 years 6 months ago
High level model predictive control for plug-and-play process control with stability guaranty
In this paper a method for designing a stabilizing high level model predictive controller for a hierarchical plugand-play process is presented. achieved by abstracting the lower la...
Axel Gottlieb Michelsen, Jakob Stoustrup
ICML
2008
IEEE
16 years 16 days ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
ISVC
2009
Springer
15 years 6 months ago
Speech-Driven Facial Animation Using a Shared Gaussian Process Latent Variable Model
Abstract. In this work, synthesis of facial animation is done by modelling the mapping between facial motion and speech using the shared Gaussian process latent variable model. Bot...
Salil Deena, Aphrodite Galata
112
Voted
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
15 years 6 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
WSC
2008
15 years 2 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang