activity
20172022
most citedA distributionally robust optimization approach to two-sided chance constrained stochastic model predictive control with unknown noise distribution

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY20222 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.SY20221 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…

eess.SY2020

Active Disturbance Rejection Control Design with Suppression of Sensor Noise Effects in Application to DC-DC Buck Power Converter

Krzysztof Łakomy, Rafal Madonski, Bin Dai +4

The performance of active disturbance rejection control (ADRC) algorithms can be limited in practice by high-frequency measurement noise. In this work, this problem is addressed by…

eess.SY2020

Robust converter-fed motor control based on active rejection of multiple disturbances

Rafal Madonski, Krzysztof Łakomy, Momir Stankovic +3

In this work, an advanced motion controller is proposed for buck converter-fed DC motor systems. The design is based on an idea of active disturbance rejection control (ADRC) with…

math.OC20171 cited

An Adaptive Passivity-Based Controller of a Buck-Boost Converter With a Constant Power Load

Wei He, Romeo Ortega, Juan E. Machado +1

This paper addresses the problem of regulating the output voltage of a DC-DC buck-boost converter feeding a constant power load,which is a problem of current practical interest. De…