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20202023
most citedStability Properties of the Adaptive Horizon Multi-Stage MPC

9 citations · 19 across the 10 of their papers we have counts for

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5 papers · 1 filter

eess.SY2023

Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks

Christopher A. Orrico, Matthijs van Berkel, Thomas O. S. J. Bosman +2

Model predictive control (MPC) is promising for fueling and core density feedback control in nuclear fusion tokamaks, where the primary actuators, frozen hydrogen fuel pellets fire…

math.OC2023★ 9 cited

Stability Properties of the Adaptive Horizon Multi-Stage MPC

Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke

This paper presents an adaptive horizon multi-stage model-predictive control (MPC) algorithm. It establishes appropriate criteria for recursive feasibility and robust stability usi…

eess.SY2023★ 2 cited

ALADIN-based Distributed Model Predictive Control with dynamic partitioning: An application to Solar Parabolic Trough Plants

P. Chanfreut, J. M. Maestre, D. Krishnamoorthy +1

This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN…

math.OC2023

Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers

Dinesh Krishnamoorthy, Joel A. Paulson

Bayesian optimization (BO) is a powerful black-box optimization framework that looks to efficiently learn the global optimum of an unknown system by systematically trading-off betw…

eess.SY2023★ 3 cited

An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation

Dinesh Krishnamoorthy

This paper considers the problem of data generation for MPC policy approximation. Learning an approximate MPC policy from expert demonstrations requires a large data set consisting…