Multivariable Generalized Minimum Variance Control Based on Artificial Neural Networks and Gaussian Process Models

Daniel Sbarbaro, Roderick Murray-Smith, Arturo Valdes. Multivariable Generalized Minimum Variance Control Based on Artificial Neural Networks and Gaussian Process Models. In Fuliang Yin, Jun Wang, Chengan Guo, editors, Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II. Volume 3174 of Lecture Notes in Computer Science, pages 52-58, Springer, 2004. [doi]

Abstract

Abstract is missing.