6 papers
Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach
Rodrigo A. González, Angel L. Cedeño
Simultaneous Input and State Estimation (SISE) enables the reconstruction of unknown inputs and internal states in dynamical systems, with applications in fault detection, robotics…
Identification of additive multivariable continuous-time systems
Maarten van der Hulst, Rodrigo González, Koen Classens +3
Multivariable parametric models are critical for designing, controlling, and optimizing the performance of engineered systems. The main aim of this paper is to develop a parametric…
Statistically Optimal Structured Additive MIMO Continuous-time System Identification
Rodrigo A. González, Maarten van der Hulst, Koen Classens +1
Many applications in mechanical, acoustic, and electronic engineering require estimating complex dynamical models, often represented as additive multi-input multi-output (MIMO) tra…
The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems
Angel L. Cedeño, Rodrigo A. González, Juan C. Agüero
Block-Oriented Nonlinear (BONL) models, particularly Wiener models, are widely used for their computational efficiency and practicality in modeling nonlinear behaviors in physical…
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
Koen Classens, Rodrigo A. González, Tom Oomen
Online system identification algorithms are widely used for monitoring, diagnostics and control by continuously adapting to time-varying dynamics. Typically, these algorithms consi…
Frequency domain identification for multivariable motion control systems: Applied to a prototype wafer stage
M. van der Hulst, R. A. González, K. Classens +4
Multivariable parametric models are essential for optimizing the performance of high-tech systems. The main objective of this paper is to develop an identification strategy that pr…