Indefinite linear MPC and approximated economic MPC for nonlinear systems
نویسندگان
چکیده
منابع مشابه
Robust periodic economic MPC for linear systems
Economic Model Predictive Control differs from conventional tracking model predictive control by directly addressing a plants economic cost as the stage cost, consequently leading to better economic performance. This paper extends current economic model predictive control theory to linear timeinvariant systems with periodic disturbances and cost functions, under mild assumptions. To ensure an i...
متن کاملDistributed cooperative nonlinear economic MPC ∗
Model predictive control (MPC) is a design technique that solves (typically on-line) optimization problems to determine a suitable feedback action. It is widely used because of the capability to deal with constraints and MIMO systems [3]. To treat practical industrial processes with MPC, use of so called economic cost functionals are proposed and considered for optimization in [1]. In this sche...
متن کاملCoordinator Local Local Local Local Local Local Local MPC MPC MPC MPC MPC MPC MPC
In many cases economic optimal operation is the same as maximum plant throughput, which is the same as maximum flow through the bottleneck(s). This insight may greatly simplify implementation. In this paper, we consider the case where the bottlenecks may move, with parallel flows that give rise to multiple bottlenecks and with crossover flows as extra degrees of freedom. With the assumption tha...
متن کاملGain-scheduling MPC of nonlinear systems
Predictive control of nonlinear systems is addressed by embedding the dynamics into an LPV system and by computing robust invariant sets. This mitigates the on-line computational burden by transferring most of the computations off-line. Benefits and conservatism of this approach are discussed in relation with the control of a critical mechanical system. keywords: Predictive control, constraints...
متن کاملMPC for tracking piecewise constant references for constrained linear systems
Model predictive control (MPC) is one of the few techniques which is able to handle with constraints on both state and input of the plant. The admissible evolution and asymptotically convergence of the closed loop system is ensured by means of a suitable choice of the terminal cost and terminal contraint. However, most of the existing results on MPC are designed for a regulation problem. If the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Process Control
سال: 2014
ISSN: 0959-1524
DOI: 10.1016/j.jprocont.2014.04.023