On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller

Author:

Rosolia Ugo1ORCID,Lian Yingzhao2ORCID,Maddalena Emilio T.2ORCID,Ferrari-Trecate Giancarlo2ORCID,Jones Colin N.2ORCID

Affiliation:

1. California Institute of Technology, South Pasadena, CA, USA

2. Automatic Control Laboratory, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

RISK project Risk Aware Data-Driven Demand Response

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference18 articles.

1. Biased aggregation, rollout, and enhanced policy improvement for reinforcement learning;bertsekas;Labortory for Information and Decision Systems Reportv,2018

2. Linear Least-Squares algorithms for temporal difference learning

3. Learning to predict by the methods of temporal differences

4. Controller design and value function approximation for nonlinear dynamical systems

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