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AROBOTS
2011
15 years 1 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
AMAST
2004
Springer
15 years 10 months ago
Linear Temporal Logic and Z Refinement
Since Z, being a state-based language, describes a system in terms of its state and potential state changes, it is natural to want to describe properties of a specified system also...
John Derrick, Graeme Smith
METAINFORMATICS
2004
Springer
15 years 11 months ago
Describing Use Cases with Activity Charts
Abstract. The Model-Driven Development (MDD) describes and maintains models of the system under development. The Unified Modeling Language (UML) supports a set of semantics and no...
Jesús Manuel Almendros-Jiménez, Luis...
EAAI
2007
199views more  EAAI 2007»
15 years 6 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
SOFSEM
2012
Springer
14 years 1 months ago
Turing Machines for Dummies - Why Representations Do Matter
Abstract. Various methods exists in the literature for denoting the configuration of a Turing Machine. A key difference is whether the head position is indicated by some integer ...
Peter van Emde Boas