most citedA distributionally robust optimization approach to two-sided chance constrained stochastic model predictive control with unknown noise distribution

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eess.SY2025

Auto-Optimization with Active Learning in Uncertain Environment: A Predictive Control Approach

Yuan Tan, Jun Yang, Zhongguo Li +2

This paper presents an auto-optimal model predictive control (MPC) framework enhanced with active learning, designed to autonomously track optimal operational conditions in an unkn…

eess.SY2022★ 2 cited

A distributionally robust optimization approach to two-sided chance constrained stochastic model predictive control with unknown noise distribution

Yuan Tan, Jun Yang, Wen-Hua Chen +1

In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of two-sided chance constrained discrete-time line…

eess.SY2022★ 1 cited

Multi-step dual control for exploration and exploitation in autonomous search with convergence guarantee

Yuan Tan, Jun Yang, Wen-Hua Chen +1

Motivated by the recently proposed dual control for exploration and exploitation (DCEE) concept, this paper presents a Multi-Step DCEE (MS-DCEE) framework with guaranteed convergen…