566 search results - page 10 / 114 » Nonlinear Predictive Control with a Gaussian Process Model |
70
Voted
NIPS
2007
15 years 1 months ago
2007
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
AUTOMATICA
2006
14 years 11 months ago
2006
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
110
Voted
SCL
2008
14 years 11 months ago
2008
In this paper we consider discrete-time nonlinear systems that are affected, possibly simultaneously, by parametric uncertainties and disturbance inputs. The min-max Model Predict...
CDC
2010
IEEE
14 years 6 months ago
2010
IEEE
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
106
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ASC
2000
15 years 1 months ago
2000
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...