ResearchDuring my Ph.D., I mostly focused on the statistical analysis, design, and robustness issues of continuous-time system identification algorithms. I have also worked on finite-sample analysis of system identification methods, non-parametric system identification, control over networks, and Riccati equations. Lately, I have been interested in the design and analysis of identification methods for event-triggered systems, as well as tools for estimating additive/modal models, with applications in the high-tech precision industry. If you are interested in the latest pdf version of any of the manuscripts that are mentioned here, please send me an e-mail. I am happy to discuss any topic! Journal Publications[J17] Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency [J16] Identification of Additive Continuous-time Systems in Open and Closed-loop [J15] Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification [J14] Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop [J13] Identification of Wiener State-Space Models utilizing Gaussian Sum Smoothing [J12] Kernel-based identification using Lebesgue-sampled data [J11] On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods [J10] On Filtering and Smoothing algorithms for Linear State-Space Models Having Quantized Output Data [J9] Consistency Analysis and Bias Elimination of the Instrumental Variable Based State Variable Filter Method [J8] Refined instrumental variable methods for unstable continuous-time systems in closed-loop [J7] Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models [J6] Consistent identification of continuous-time systems under multisine input signal excitation [J5] Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems [J4] Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems [J3] On the existence of a stabilizing solution of Modified Algebraic Riccati Equations in terms of standard Algebraic Riccati Equations and Linear Matrix Inequalities [J2] Mean square stabilization over MIMO SNR-Constrained channels with colored and spatially correlated additive noises [J1] Optimal enforcement of causality in non-parametric transfer function estimation Peer-reviewed Conference Publications[C16] Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation [C15] Gaussian sum filtering for Wiener state-space models with a class of non-monotonic piecewise nonlinearities [C14] Parametric Continuous-Time Blind System Identification [C13] Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors [C12] Blind non-parametric estimation of SISO continuous-time systems [C11] Parsimonious identification of continuous-time systems: A block-coordinate descent approach [C10] Identifying Lebesgue-sampled continuous-time impulse response models: A kernel-based approach [C9] An EM algorithm for Lebesgue-sampled state-space continuous-time system identification [C8] The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop [C7] Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations [C6] A Finite-Sample Deviation Bound for Stable Autoregressive Processes [C5] Enforcing stability through ellipsoidal inner approximations in the indirect approach for continuous-time system identification [C4] Finite sample deviation and variance bounds for first order autoregressive processes [C3] An asymptotically optimal indirect approach to continuous-time system identification [C2] A fully Bayesian approach to kernel-based regularization for impulse response estimation [C1] Stabilization of MIMO systems over additive correlated noise channels subject to multiple SNR-constraints Submitted Journal papers[SJ3] Data-enabled iterative learning control: A zero-sum game design for varying time-scale tasks [SJ2] Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems [SJ1] The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems Submitted Conference papers[SC3] Frequency domain identification for multivariable motion control systems: Applied to a prototype wafer stage [SC2] Motion control tuning for time-delayed systems with integral action [SC1] Truncated Gaussian Noise Estimation in Nonlinear State-Space Models Non-peer-reviewed Presentations and Posters[P20] Implications of undersampling in system identification [P19] Modal Identification for Multivariable Motion Systems: Applied to a Prototype Wafer-Stage [P18] Modified Smith Predictor for integrative and delayed time systems [P17] Identification of Modal MIMO Systems for High-precision Mechatronics (in Spanish) [P16] Estimation and Control of Switched Reluctance Motors [P15] Modal Identification for Multivariable Motion Systems [P14] Statistically-Optimal Modal MIMO Identification for High-Tech Motion Systems [P13] Additive Continuous-time Identification: With Application to Modal Mechanical Systems [P12] Additive Continuous-time Identification: With Application to Modal Mechanical Systems (in Spanish) [P11] Control variates for multivariate truncated probability density functions with application in system identification [P10] Identification of Linear State-Space Models Subject to Truncated Gaussian Disturbances [P9] Learning in Machines: From Data to Models, Control Performance, and Monitoring [P8] Non-parametric continuous-time system identification with Lebesgue-sampled output measurements [P7] Non-parametric Identification of Lebesgue-sampled Continuous-time Systems (in Spanish) [P6] Identification of continuous-time systems utilizing Lebesgue-sampled data [P5] Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations [P4] An asymptotically optimal indirect approach to continuous-time system identification [P3] Consistency of the Simplified Refined Instrumental Variable Method for Continuous-time Systems: Analysis and Design [P2] An asymptotically optimal indirect approach to continuous-time system identification [P1] An asymptotically optimal indirect approach to continuous-time system identification Theses and Books[T3]Continuous-time System Identification: Refined Instrumental Variables and Sampling Assumptions [T2]Consistency and efficiency in continuous-time system identification [B1]Exercise Compendium of Linear Systems Analysis (in Spanish) [T1]Enforcement of Causality and Passivity in Spectral Analysis (in Spanish) |