On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data. - Angel L. Cedeño; Ricardo Albornoz; Boris I. Godoy; Rodrigo Carvajal; Juan C. Agüero (CoRR, 2021)

A Two-Filter Approach for State Estimation Utilizing Quantized Output Data. - Angel L. Cedeño; Ricardo Albornoz; Rodrigo Carvajal; Boris I. Godoy; Juan C. Agüero (Sensors, 2021)

Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models. - Angel L. Cedeño; Rafael Orellana; Rodrigo Carvajal; Boris I. Godoy; Juan C. Agüero (IEEE Access, 2023)

An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification. - Rodrigo A. González; Angel L. Cedeño; María Coronel; Juan C. Agüero; Cristian R. Rojas (CoRR, 2023)

DNN-based Long Prediction Horizon Finite Control Set MPC with Switching Effort Penalization. - Ignacio A. Acosta; Angel L. Cedeño; Gonzalo Carvajal; Juan C. Agüero; César A. Silva (IECON, 2024)

Maximum Likelihood Estimation for an SAG Mill Model Utilizing Physical Available Measurements. - Angel L. Cedeño; María Coronel; Rafael Orellana; Patricio Varas; Rodrigo Carvajal; Boris I. Godoy; Juan C. Agüero (IEEE Access, 2024)

Identification of Wiener state-space models utilizing Gaussian sum smoothing. - Angel L. Cedeño; Rodrigo A. González; Rodrigo Carvajal; Juan C. Agüero (Autom., 2024)

Simultaneous Input and State Estimation Under Output Quantization: A Gaussian Mixture Approach. - Rodrigo A. González; Angel L. Cedeño (IEEE Control. Syst. Lett., 2025)

The Quadrature Gaussian Sum Filter and Smoother for Wiener Systems. - Angel L. Cedeño; Rodrigo A. González; Juan C. Agüero (CoRR, 2025)

Observer Switching Strategy for Enhanced State Estimation in CSTR Networks. - Lisbel Bárzaga-Martell; Francisco Ibáñez; Angel L. Cedeño; María Coronel; Francisco Concha; Norelys Aguila-Camacho; José Ricardo Pérez-Correa (CoRR, 2025)

Truncated Gaussian Noise Estimation in State-Space Models. - Rodrigo A. González; Angel L. Cedeño; Koen Tiels; Tom Oomen (CoRR, 2025)