MPC FOR PERTURBED MAX - PLUS - LINEARSYSTEMSTon
ثبت نشده
چکیده
منابع مشابه
Model predictive control for perturbed max-plus-linear systems: A stochastic approach
Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, we have extended MPC to a class of discrete event systems that can be described by a model that is “linear” in the (max,+) algebra. In our previous work we have only considered MPC for the perturbationsfree case and for the ca...
متن کاملModel predictive control for perturbed max-plus-linear systems
If you want to cite this report, please use the following reference instead: T.J.J. van den Boom and B. De Schutter, " Model predictive control for perturbed max-plus-linear systems, " Abstract Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, we have extended MPC to a class ...
متن کاملModel predictive control for max-min-plus-scaling systems – Efficient implementation
In previous work we have introduced model predictive control (MPC) for max-plus-linear and max-min-plus(scaling) discrete-event systems. For max-plus-linear systems there are efficient algorithms to solve the corresponding MPC optimization problems. However, previously, for max-min-plus(-scaling) systems the only approach was to consider a limited subclass of decoupled max-min-plus systems or t...
متن کاملMpc for Max-plus-linear Systems with Guaranteed Stability
Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Previously, we have extended MPC to a class of discrete event systems that can be described by a model that is “linear” in the max-plus algebra. In this paper we consider the stability of MPC for these max-plus linear (MPL) systems, and...
متن کاملModel predictive control for discrete-event and hybrid systems – Part I: Discrete-event systems
Model predictive control (MPC) is a very popular controller design method in the process industry. A key advantage of MPC is that it can accommodate constraints on the inputs and outputs. Usually MPC uses linear or nonlinear discrete-time models. In this paper and its companion paper (“Part II: Hybrid Systems”) we give an overview of some results in connection with MPC approaches for discrete-e...
متن کامل