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. 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[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] Necessary and sufficient conditions for 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[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[SJ2] On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods [SJ1] Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop Submitted Conference papers[SC4] Blind Non-parametric Estimation of SISO Continuous-time Systems [SC3] Parsimonious Identification of Continuous-time Systems: A Block-coordinate Descent Approach [SC2] Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach [SC1] An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification Non-peer-reviewed Presentations and Posters[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) |