Review paper

Stochastic model predictive control with active uncertainty learning: A Survey on dual control

Volume: 45, Pages: 107 - 117
Published: Jan 1, 2018
Abstract
This paper provides a review of model predictive control (MPC) methods with active uncertainty learning. System uncertainty poses a key theoretical and practical challenge in MPC, which can be aggravated when system uncertainty increases due to the time-varying nature of system dynamics. For uncertain systems with stochastic uncertainty, this paper presents the stochastic MPC (SMPC) problem in the dual control paradigm, where the control inputs...
Paper Details
Title
Stochastic model predictive control with active uncertainty learning: A Survey on dual control
Published Date
Jan 1, 2018
Volume
45
Pages
107 - 117
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.