Izvorni znanstveni članak
Design of GPC's in State Space*
José Vicente Salcedo
APA 6th Edition
Salcedo, J.V., Martínez, M., Sanchis, J. i Blasco, X. (2001). Design of GPC's in State Space*. Automatika, 42. (3-4), 159-167. Preuzeto s https://hrcak.srce.hr/6620
MLA 8th Edition
Salcedo, José Vicente, et al. "Design of GPC's in State Space*." Automatika, vol. 42., br. 3-4, 2001, str. 159-167. https://hrcak.srce.hr/6620. Citirano 25.09.2022.
Chicago 17th Edition
Salcedo, José Vicente, Miguel Martínez, Javier Sanchis i Xavier Blasco. "Design of GPC's in State Space*." Automatika 42., br. 3-4 (2001): 159-167. https://hrcak.srce.hr/6620
Salcedo, J.V., et al. (2001). 'Design of GPC's in State Space*', Automatika, 42.(3-4), str. 159-167. Preuzeto s: https://hrcak.srce.hr/6620 (Datum pristupa: 25.09.2022.)
Salcedo JV, Martínez M, Sanchis J, Blasco X. Design of GPC's in State Space*. Automatika [Internet]. 2001 [pristupljeno 25.09.2022.];42.(3-4):159-167. Dostupno na: https://hrcak.srce.hr/6620
J.V. Salcedo, M. Martínez, J. Sanchis i X. Blasco, "Design of GPC's in State Space*", Automatika, vol.42., br. 3-4, str. 159-167, 2001. [Online]. Dostupno na: https://hrcak.srce.hr/6620. [Citirano: 25.09.2022.]
This paper introduces a methodology for the original design of generalised predictive controllers (GPC's) based on the use of a state space CARIMA model to carry out those predictions. The CARIMA model presented is equivalent to the CARIMA model commonly used in the input/output (I/O) formulation of the GPC's. A connection is settled among the stochastic part of this model and the filter polynomials Ti(z-1), making possible the design of the controller once any one of them is known. It is also remarkable that for the estimation of non-measurable states, a full rank observer is proposed, and the fact that its poles are equal to the roots of the filter polynomials Ti(z-1) can also be appreciated.
Posjeta: 4.331 *