Rodrigo A. González
YOU?
Author Swipe
View article: Sample-Efficient Counterfactual Tuning for Compressor Pressure Control
Sample-Efficient Counterfactual Tuning for Compressor Pressure Control Open
In controlled industrial environments, ensuring safety and performance during controller tuning is a challenging and critical task. In particular, control loops in compressor-plenum-throttle systems cannot tolerate costly interruptions, an…
View article: Assessment of GNSS Performance and Error Bounding for SAIL III UAS Operations
Assessment of GNSS Performance and Error Bounding for SAIL III UAS Operations Open
The growing use of UASs in complex operations, including Beyond Visual Line of Sight (BVLOS) operations and missions over populated areas, has increased the need for robust navigation integrity. Within this framework, a GNSS is often used …
View article: Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators
Finite Sample MIMO System Identification with Multisine Excitation: Nonparametric, Direct, and Two-step Parametric Estimators Open
Multisine excitations are widely used for identifying multi-input multi-output systems due to their periodicity, data compression properties, and control over the input spectrum. Despite their popularity, the finite sample statistical prop…
View article: Filtering in Multivariate Systems with Quantized Measurements using a Gaussian Mixture-Based Indicator Approximation
Filtering in Multivariate Systems with Quantized Measurements using a Gaussian Mixture-Based Indicator Approximation Open
This work addresses the problem of state estimation in multivariable dynamic systems with quantized outputs, a common scenario in applications involving low-resolution sensors or communication constraints. A novel method is proposed to exp…
View article: Statistically Optimal Structured Additive MIMO Continuous-time System Identification
Statistically Optimal Structured Additive MIMO Continuous-time System Identification Open
Many applications in mechanical, acoustic, and electronic engineering require estimating complex dynamical models, often represented as additive multi-input multi-output (MIMO) transfer functions with structural constraints. This paper int…
View article: Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems Open
Online system identification algorithms are widely used for monitoring, diagnostics and control by continuously adapting to time-varying dynamics. Typically, these algorithms consider a model structure that lacks parsimony and offers limit…
View article: Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach
Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach Open
Simultaneous Input and State Estimation (SISE) enables the reconstruction of unknown inputs and internal states in dynamical systems, with applications in fault detection, robotics, and control. While various methods exist for linear syste…
View article: Motion control tuning for time-delayed systems with integral action
Motion control tuning for time-delayed systems with integral action Open
View article: Identification of Additive Multivariable Continuous-Time Systems
Identification of Additive Multivariable Continuous-Time Systems Open
Multivariable parametric models are critical for designing, controlling, and optimizing the performance of engineered systems. The main aim of this letter is to develop a parametric identification strategy that delivers accurate and physic…
View article: Structured identification of multivariable modal systems
Structured identification of multivariable modal systems Open
View article: Estimation of Nonlinear Switched Reluctance Motor Dynamics for Accurate Model-Based Commutation
Estimation of Nonlinear Switched Reluctance Motor Dynamics for Accurate Model-Based Commutation Open
View article: Acetyl Acetonate Based Cobalt(Iii) Complexes as Photocatalyst and Electrocatalyst for Clean Energy Production
Acetyl Acetonate Based Cobalt(Iii) Complexes as Photocatalyst and Electrocatalyst for Clean Energy Production Open
View article: Identification of additive continuous-time systems in open and closed loop
Identification of additive continuous-time systems in open and closed loop Open
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model structure aligns with the physical properties of the system.…
View article: Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency
Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency Open
The sampling rate of input and output signals is known to play a critical role in the identification and control of dynamical systems. For slow-sampled continuous-time systems that do not satisfy the Nyquist-Shannon sampling condition for …
View article: Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop Open
Refined instrumental variable methods have been broadly used for identification of continuous-time systems in both open and closed-loop settings. However, the theoretical properties of these methods are still yet to be fully understood whe…
View article: Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation
Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation Open
This study presents a grey-box recursive identification technique to estimate key parameters in a mineral flotation process across two scenarios. The method is applied to a nonlinear physics-based dynamic model validated at a laboratory sc…
View article: Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop Open
Refined instrumental variable methods have been broadly used for identification of continuous-time systems in both open and closed-loop settings. However, the theoretical properties of these methods are still yet to be fully understood whe…
View article: Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification Open
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SISO) models in additive form. Despite its widespread use in …
View article: Kernel-based identification using Lebesgue-sampled data
Kernel-based identification using Lebesgue-sampled data Open
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones wh…
View article: Identification of Additive Continuous-time Systems in Open and Closed loop
Identification of Additive Continuous-time Systems in Open and Closed loop Open
When identifying electrical, mechanical, or biological systems, parametric continuous-time identification methods can lead to interpretable and parsimonious models when the model structure aligns with the physical properties of the system.…
View article: Gaussian Sum Filtering for Wiener State-Space Models with a Class of Non-Monotonic Piecewise Nonlinearities
Gaussian Sum Filtering for Wiener State-Space Models with a Class of Non-Monotonic Piecewise Nonlinearities Open
State estimation of nonlinear dynamical systems has gained significant attention due to its countless applications in control, signal processing, fault diagnosis, and power networks. The complexity posed by challenging nonlinearities like …
View article: Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification Open
Block coordinate descent is an optimization technique that is used for estimating multi-input single-output (MISO) continuous-time models, as well as single-input single output (SISO) models in additive form. Despite its widespread use in …
View article: Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors
Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors Open
Switched Reluctance Motors (SRMs) enable power-efficient actuation with mechanically simple designs. This paper aims to identify the nonlinear relationship between torque, rotor angle, and currents, to design commutation functions that min…
View article: Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors
Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors Open
Switched Reluctance Motors (SRMs) enable power-efficient actuation with mechanically simple designs. This paper aims to identify the nonlinear relationship between torque, rotor angle, and currents, to design commutation functions that min…
View article: On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods Open
The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop. The continuous-time equivalent of the tr…
View article: Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach
Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach Open
Control applications are increasingly sampled non-equidistantly in time, including in motion control, networked control, resource-aware control, and event-triggered control. Some of these applications use measurement devices that sample eq…
View article: Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach Open
The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling. Parametric continuous-time identification methods can naturally incorporate this kno…
View article: An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification Open
This paper concerns the identification of continuous-time systems in state-space form that are subject to Lebesgue sampling. Contrary to equidistant (Riemann) sampling, Lebesgue sampling consists of taking measurements of a continuous-time…
View article: Kernel-based identification using Lebesgue-sampled data
Kernel-based identification using Lebesgue-sampled data Open
Sampling in control applications is increasingly done non-equidistantly in time. This includes applications in motion control, networked control, resource-aware control, and event-based control. Some of these applications, like the ones wh…
View article: On Filtering and Smoothing Algorithms for Linear State-Space Models Having Quantized Output Data
On Filtering and Smoothing Algorithms for Linear State-Space Models Having Quantized Output Data Open
The problem of state estimation of a linear, dynamical state-space system where the output is subject to quantization is challenging and important in different areas of research, such as control systems, communications, and power systems. …