Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems (CAPTAIN) Toolbox. This Website is intended primarily to support the CAPTAIN Toolbox for Matlab, which provides access to novel, mainly recursive, algorithms for various important aspects of identification, estimation, nonstationary time series analysis and signal processing, adaptive forecasting and automatic control system design. These have been developed between 1981 and the present at Lancaster University, UK, based on research carried out by Peter Young with colleagues at Lancaster, the Australian National University, Canberra, Australia (1975-1981) and the University of Cambridge, UK (1965-1975).

References in zbMATH (referenced in 37 articles , 1 standard article )

Showing results 21 to 37 of 37.
Sorted by year (citations)
  1. Young, Peter C.: Refined instrumental variable estimation: maximum likelihood optimization of a unified Box-Jenkins model (2015)
  2. Padilla, Arturo; Yuz, Juan I.; Herzer, Benjamin: Continuous-time system identification of the steering dynamics of a ship on a river (2014)
  3. Vayssettes, J.; Mercère, G.; Vacher, P.; De Callafon, R. A.: Frequency-domain identification of aircraft structural modes from short-duration flight tests (2014)
  4. Young, Peter C.: Comment on `\textitProjection-based identification algorithm for grey-box continuous-time models’ by Ichiro Maruta and Toshiharu Sugie (2014)
  5. Gawthrop, Peter; Lee, Kwee-Yum; Halaki, Mark; O’Dwyer, Nicholas: Human stick balancing: an intermittent control explanation (2013)
  6. Hatzopoulos, P.; Haberman, S.: Common mortality modeling and coherent forecasts. An empirical analysis of worldwide mortality data (2013)
  7. Maruta, Ichiro; Sugie, Toshiharu: Projection-based identification algorithm for grey-box continuous-time models (2013)
  8. Victor, Stéphane; Malti, Rachid; Garnier, Hugues; Oustaloup, Alain: Parameter and differentiation order estimation in fractional models (2013)
  9. Pedregal, Diego J.; Taylor, C. James: SSpace: A flexible and general state space toolbox for Matlab (2012)
  10. Taylor, C. James; Chotai, Arun; Tych, Wlodek: Linear and nonlinear non-minimal state space control system design (2012)
  11. Zheng, Xiaolian; Chen, Ben M.: Modeling and forecasting of stock markets under a system adaptation framework (2012)
  12. Pillonetto, Gianluigi; Chiuso, Alessandro; De Nicolao, Giuseppe: Prediction error identification of linear systems: a nonparametric Gaussian regression approach (2011)
  13. Young, Peter C.: Gauss, Kalman and advances in recursive parameter estimation (2011)
  14. Young, Peter C.: Recursive estimation and time-series analysis. An introduction for the student and practitioner (2011)
  15. Wang, Liuping; Young, Peter C.; Gawthrop, Peter J.; Taylor, C. James: Non-minimal state-space model-based continuous-time model predictive control with constraints (2009)
  16. Pollock, D. S. G.: Econometric methods of signal extraction (2006)
  17. Pollock, D. S. G. (ed.): Introduction to the special issue on statistical signal extraction and filtering (2006)