A Learning Approach to Identification and Control

15th Triennial World Congress of the International Federation of Automatic Control Barcelona, 21–26 July 2002

A Learning Approach to Identification and Control Session Slot: T-Mo-A02 Area Code: 3a
Paper Title	Authors
Model-set identification based on learning-theoretic inequalities	Yasuaki Oishi and Hidenori Kimura
Learning of FIR and ARX Neural Networks With Empirical Risk Minimization Algorithm	Kayvan Najarian
Identification of Reliable Predictor Models for Unknown Systems: a Data-Consistency Approach Based on Learning Theory	Giuseppe Calafiore, M.C. Campi, and Laurent El Ghaoui
Multiarmed Bandits in the Worst Case	Nicolò Cesa-Bianchi
A Learning Theory Approach to System Identification	M. Vidyasagar and R.L. Karandikar
Non-Asymptotic Quality Assessment of the Least Squares Estimate	Su Ki Ooi, M.C. Campi, E. Weyer