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ESSMAC
2003
Springer
15 years 11 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ESSMAC
2003
Springer
15 years 11 months ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
ESSMAC
2003
Springer
15 years 11 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
HOLOMAS
2003
Springer
15 years 10 months ago
Integration of Automation Resources in Holonic Manufacturing Applications
Holonic and agent-based paradigms are very suitable in the development of distributed manufacturing control systems, taking advantage of their modularity, decentralization, and abi...
Paulo Leitão, Raymond Boissier, Francisco C...
IDEAL
2003
Springer
15 years 10 months ago
Towards a Terabyte Digital Library System
In China-US Million Book Digital Library, output of the digitalization process is more than one terabyte of text in OEB and PDF format. To access these data quickly and accurately,...
Hao Ding, Yun Lin, Bin Liu
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