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20132025
most citedTime Distributed Optimization for Model Predictive Control: Stability, Robustness, and Constraint Satisfaction

82 citations · 486 across the 90 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

math.OC2022

Reference Governor for Constrained Spacecraft Orbital Transfers

Simone Semeraro, Ilya Kolmanovsky, Emanuele Garone

The paper considers the application of feedback control to orbital transfer maneuvers subject to constraints on the spacecraft thrust and on avoiding the collision with the primary…

eess.SY2022

Safe Control and Learning Using Generalized Action Governor

Peiyuan Fang, Weiqi Zhang, Lu Xiong +7

This paper introduces the Generalized Action Governor (AG), a supervisory scheme that augments a nominal closed-loop system with the capability to enforce state and input constrain…

eess.SY2022★ 1 cited

Reference Governor for Input-Constrained MPC to Enforce State Constraints at Lower Computational Cost

Miguel Castroviejo Fernandez, Jordan Leung, Ilya Kolmanovsky

In this paper, a control scheme is developed based on an input constrained Model Predictive Controller (MPC) and the idea of modifying the reference command to enforce constraints,…

eess.SY2022

Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach

Mushuang Liu, H. Eric Tseng, Dimitar Filev +2

This paper proposes a novel decision-making framework for autonomous vehicles (AVs), called predictor-corrector potential game (PCPG), composed of a Predictor and a Corrector. To e…

eess.SY2022

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning

Yutong Li, Nan Li, H. Eric Tseng +3

The action governor is an add-on scheme to a nominal control loop that monitors and adjusts the control actions to enforce safety specifications expressed as pointwise-in-time stat…

math.OC2022

A Computationally Governed Log-domain Interior-point Method for Model Predictive Control

Jordan Leung, Frank Permenter, Ilya Kolmanovsky

This paper introduces a computationally efficient approach for solving Model Predictive Control (MPC) reference tracking problems with state and control constraints. The approach c…

math.OC2022

ROTEC: Robust to Early Termination Command Governor for Systems with Limited Computing Capacity

Mehdi Hosseinzadeh, Bruno Sinopoli, Ilya Kolmanovsky +1

A Command Governor (CG) is an optimization-based add-on scheme to a nominal closed-loop system. It is used to enforce state and control constraints by modifying reference commands.…

eess.SY2022★ 51 cited

Potential Game-Based Decision-Making for Autonomous Driving

Mushuang Liu, Ilya Kolmanovsky, H. Eric Tseng +3

Decision-making for autonomous driving is challenging, considering the complex interactions among multiple traffic agents (e.g., autonomous vehicles (AVs), human drivers, and pedes…