1 citations · 1 across the 8 of their papers we have counts for
8 papers
The Zonotopic Mixture Filter
Rodrigo A. González, Angel L. Cedeño, Vicenç Puig
State estimation is commonly posed in either a probabilistic or an unknown-but-bounded framework. The former requires a fully specified noise distribution, typically with unbounded…
Filtering in Multivariate Systems with Quantized Measurements using a Gaussian Mixture-Based Indicator Approximation
Angel L. Cedeño, Rodrigo A. González, Boris I. Godoy +1
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 c…
Truncated Gaussian Noise Estimation in State-Space Models
Rodrigo A. González, Angel L. Cedeño, Koen Tiels +1
Within Bayesian state estimation, considerable effort has been devoted to incorporating constraints into state estimation for process optimization, state monitoring, fault detectio…
Observer Switching Strategy for Enhanced State Estimation in CSTR Networks
Lisbel Bárzaga-Martell, Francisco Ibáñez, Angel L. Cedeño +4
Accurate state estimation is essential for monitoring and controlling nonlinear chemical reactors, such as continuous stirred-tank reactors (CSTRs), where limited sensor coverage a…
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…
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…
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification
Rodrigo A. González, Angel L. Cedeño, María Coronel +2
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 sa…
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data
Angel L. Cedeño, Ricardo Albornoz, Boris I. Godoy +2
In this paper, we study the problem of estimating the state of a dynamic state-space system where the output is subject to quantization. We compare some classical approaches and a…