4 citations · 8 across the 10 of their papers we have counts for
10 papers
Gain-Scheduled Data-Enabled Predictive Control: A DeePC Approach for Nonlinear Systems
Margarita A. Guerrero, Braghadeesh Lakshminarayanan, Cristian R. Rojas
Model predictive control is a well established control technology for trajectory tracking. Its use requires the availability of an accurate model of the plant, but obtaining such a…
On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
Braghadeesh Lakshminarayanan, Cristian R. Rojas
In this paper, we analyze the asymptotic properties of the Two-Stage (TS) estimator -- a simulation-based parameter estimation method that constructs estimators offline from synthe…
A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior
Yibo Shi, Braghadeesh Lakshminarayanan, Cristian R. Rojas
Inference and estimation are fundamental in statistics, system identification, and machine learning. When prior knowledge about the system is available, Bayesian analysis provides…
Fine Tuning a Simulation-Driven Estimator
Braghadeesh Lakshminarayanan, Margarita A. Guerrero, Cristian R. Rojas
Many industries now deploy high-fidelity simulators (digital twins) to represent physical systems, yet their parameters must be calibrated to match the true system. This motivated…
Data-Driven Estimation of Structured Singular Values
Margarita A. Guerrero, Braghadeesh Lakshminarayanan, Cristian R. Rojas
Estimating the size of the modeling error is crucial for robust control. Over the years, numerous metrics have been developed to quantify the model error in a control relevant mann…
Minimax Two-Stage Gradient Boosting for Parameter Estimation
Braghadeesh Lakshminarayanan, Cristian R. Rojas
Parameter estimation is an important sub-field in statistics and system identification. Various methods for parameter estimation have been proposed in the literature, among which t…
Unraveling the Control Engineer's Craft with Neural Networks
Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas +1
Many industrial processes require suitable controllers to meet their performance requirements. More often, a sophisticated digital twin is available, which is a highly complex mode…
A Unified Approach to Differentially Private Bayes Point Estimation
Braghadeesh Lakshminarayanan, Cristian R. Rojas
Parameter estimation in statistics and system identification relies on data that may contain sensitive information. To protect this sensitive information, the notion of \emph{diffe…
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
Braghadeesh Lakshminarayanan, Cristian R. Rojas
One of the most important problems in system identification and statistics is how to estimate the unknown parameters of a given model. Optimization methods and specialized procedur…
Bandit Quickest Changepoint Detection
Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
Many industrial and security applications employ a suite of sensors for detecting abrupt changes in temporal behavior patterns. These abrupt changes typically manifest locally, ren…