2 citations · 2 across the 9 of their papers we have counts for
12 papers
UQ-ACE: Stability-Aware Counterfactual Controller Tuning via Bayesian SINDy
Margarita A. Guerrero, Rodrigo A. Gonzalez, Cristian R. Rojas
Retuning feedback controllers in critical processes is challenging when experiments are costly, open-loop excitation is infeasible, and candidate controllers must be screened befor…
Universal Estimation of the Fisher Information for Processes with Memory
Yibo Shi, Cristian R. Rojas
The Fisher information matrix (FIM) determines the accuracy attainable in an estimation problem. For a parametric process with memory, it has a closed form only for narrow classes…
Sample-Efficient Counterfactual Tuning for Compressor Pressure Control
Margarita A. Guerrero, Rodrigo A. González, Cristian R. Rojas
In controlled industrial environments, ensuring safety and performance during controller tuning is a challenging and critical task. In particular, control loops in compressor-plenu…
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…
ACE: Adapting sampling for Counterfactual Explanations
Margarita A. Guerrero, Cristian R. Rojas
Counterfactual Explanations (CFEs) interpret machine learning models by identifying the smallest change to input features needed to change the model's prediction to a desired outpu…
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…
Efficient Simulation of Singularly Perturbed Systems Using a Stabilized Multirate Explicit Scheme
Yibo Shi, Cristian R. Rojas
Singularly perturbed systems (SPSs) are prevalent in engineering applications, where numerically solving their initial value problems (IVPs) is challenging due to stiffness arising…
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…