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» Nonlinear Predictive Control with a Gaussian Process Model
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NIPS
2003
14 years 11 months ago
Nonlinear Processing in LGN Neurons
According to the current standard model, neurons in lateral geniculate nucleus (LGN) operate linearly. There is, however, ample evidence that LGN responses are nonlinear. To accou...
Vincent Bonin, Valerio Mante, Matteo Carandini
JIRS
2007
119views more  JIRS 2007»
14 years 9 months ago
Design and Stability Analysis of Fuzzy Model-based Predictive Control - A Case Study
In the paper a fuzzy model based predictive control algorithm is presented. The proposed algorithm is developed in the state space and is given in analytical form, which is an adva...
Saso Blazic, Igor Skrjanc
111
Voted
RAS
2006
111views more  RAS 2006»
14 years 9 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
NIPS
2008
14 years 11 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
92
Voted
NIPS
2003
14 years 11 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh