Irene Luque , Paula Chanfreut , Daniel Limón , José M. Maestre
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引用次数: 0
Abstract
This paper presents a model predictive control (MPC) technique for tracking with implicit terminal components. The controller formulation includes an artificial setpoint as decision variable, and the terminal constraint is defined implicitly for an augmented system that depends on the latter. In this respect, instead of computing an invariant terminal set, we consider an extended prediction horizon whose length can be bounded simply by solving LPs. This approach overcomes size-related limitations associated with the operations needed for computing invariant sets, also simplifying the offline MPC design. The proposed controller is able to drive large systems to admissible setpoints while guaranteeing recursive feasibility and convergence. Finally, the method is illustrated by an academic example, a mass–spring–damper system of variable-size and a more realistic case study of a drone.
期刊介绍:
Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.
After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.
Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.