15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
PROPERTIES OF MGPC DESIGNED IN STATE SPACE
J.V. Salcedo, M. Martínez, F.X. Blasco, J. Sanchis
Predictive Control and Heuristic Optimization Group
Department of Systems Engineering and Control
Universidad Politécnica de Valencia
Camino de Vera 14, P.O.Box 22012 E-46071 Valencia, Spain
Tel: +34-963877000 ext: 5766. Fax: +34-963879579.
E-mail: jsalcedo@isa.upv.es http://ctl-predictivo.upv.es

This paper presents some properties regarding the Multivariable Generalized Predictive Controller designed in state space. The authors proposed the design of such a controller under the condition that it gives the same results as the input-output formulation of the GPC proposed originally by Clarke. The main reason for redesigning the controller in state space is the power of the analysis tools available. These tools allow some properties to be treated more easily than under input-output formulation. These properties include: stability, robustness, closed loop representation, specifications, etc. This paper presents results related to: observability and controllability of the CARIMA model used, closed loop representation, uniqueness and the existence of control law without constraints and closed loop stability without constraints.
Keywords: Predictive control, optimization, stability analysis, Lyapunov function, controllability, observability
Session slot T-We-M17: Predictive Control/Area code 2d : Optimal Control