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» Nonlinear Predictive Control with a Gaussian Process Model
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91
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ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
15 years 6 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
AUTOMATICA
2006
78views more  AUTOMATICA 2006»
14 years 11 months ago
Stabilizing decentralized model predictive control of nonlinear systems
This note presents a stabilizing decentralized model predictive control (MPC) algorithm for nonlinear discrete time systems. No information is assumed to be exchanged between loca...
L. Magni, Riccardo Scattolini
85
Voted
AUTOMATICA
2002
124views more  AUTOMATICA 2002»
14 years 11 months ago
Predictive pole-placement control with linear models
The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation based model-predictiv...
Peter J. Gawthrop, Eric Ronco
79
Voted
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
15 years 6 months ago
Predictor estimation via Gaussian regression
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe ...
CCE
2004
14 years 11 months ago
Multimodel analysis and controller design for nonlinear processes
Multimodel analysis and controller design for nonlinear processes via gap metric is discussed. It is shown that the loop-shaping H approach can integrate the procedure of selectin...
Wen Tan, Horacio J. Marquez, Tongwen Chen, Ji-zhen...