bds : 01 - 13 Properties of MPC for max - plus - linear systems ∗
نویسندگان
چکیده
Model predictive control (MPC) is a very popular controller design method in the process industry. One of the main advantages of MPC is that it can handle constraints on the inputs and outputs. Usually MPC uses linear discrete-time models. Recently we have extended this framework to max-plus-linear discrete event systems. In this paper we further explore this topic. More specifically, we focus on implementation and timing aspects, closed-loop behavior and tuning rules for model predictive control of max-pluslinear (MPL) systems.
منابع مشابه
Model 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-plus-linear discrete event systems
Model predictive control for max-plus-linear discrete event systems * B. De Schutter and T. van den Boom If you want to cite this report, please use the following reference instead: B. De Schutter and T. van den Boom, " Model predictive control for max-plus-linear discrete event systems, " The conventional model predictive control framework is extended and adapted to max-plus-linear systems, i....
متن کاملTechnical report bds : 01 - 15 Max - plus - algebraic problems and the extended linear complementarity problem – Algorithmic aspects ∗
Many fundamental problems in the max-plus-algebraic system theory for discrete event systems — among which the minimal state space realization problem — can be solved using an Extended Linear Complementarity Problem (ELCP). We present some new, more efficient methods to solve the ELCP. We show that an ELCP with a bounded feasible set can be recast as a standard Linear Complementarity Problem (L...
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 کاملProperties of MPC for Max-Plus-Linear Systems
Model predictive control (MPC) is a very popular controller design method in the process industry. One of the main advantages of MPC is that it can handle constraints on the inputs and outputs. Usually MPC uses linear discrete-time models. Recently we have extended this framework to max-plus-linear discrete event systems. In this paper we further explore this topic. More specifically, we focus ...
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تاریخ انتشار 2002