9 citations · 19 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
Personalized Dose Guidance using Safe Bayesian Optimization
Dinesh Krishnamoorthy, Francis J. Doyle
This work considers the problem of personalized dose guidance using Bayesian optimization that learns the optimum drug dose tailored to each individual, thus improving therapeutic…
Safe Bayesian Optimization using Interior-Point Methods -- Applied to Personalized Insulin Dose Guidance
Dinesh Krishnamoorthy, Francis J. Doyle
This paper considers the problem of Bayesian optimization for systems with safety-critical constraints, where both the objective function and the constraints are unknown, but can b…
On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform
Dinesh Krishnamoorthy
This paper proposes a multivariable extremum seeking scheme using Fast Fourier Transform (FFT) for a network of subsystems working towards optimizing the sum of their local objecti…
A Sensitivity-based Data Augmentation Framework for Model Predictive Control Policy Approximation
Dinesh Krishnamoorthy
Approximating model predictive control (MPC) policy using expert-based supervised learning techniques requires labeled training data sets sampled from the MPC policy. This is typic…
Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization and Statistical Learning
Dinesh Krishnamoorthy, Vyacheslav Kungurtsev
This paper considers the problem of distributed model fitting using the alternating directions method of multipliers (ADMM). ADMM splits the learning problem into several smaller s…