Title :
A model predictive control for max-plus-linear systems with interval parameters
Author_Institution :
Fac. of Syst. Design, Tokyo Metropolitan Univ.
Abstract :
This paper proposes a max-plus model predictive control (MFC) strategy for discrete event dynamical systems modelled by max-plus-linear systems with interval parameters. The control law will be derived in the form of a range of control input vector when the system parameters of max-plus-linear systems varies within the given intervals. In addition, we will show that when the lower bound of the control law is applied to the max-plus-linear systems with interval parameters, the predicted output vectors can be evaluated by the response of the initial state variables and the given reference signals
Keywords :
algebra; control system synthesis; discrete event systems; linear systems; optimisation; predictive control; control law; discrete event dynamical system; max-plus algebra; max-plus model predictive control strategy; max-plus-linear system; optimization problem; Algebra; Constraint theory; Control systems; Control theory; Discrete event systems; Equations; Modems; Predictive control; Predictive models; interval parameters; max-plus algebra; model predictive control;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315819
