Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/115914
Author(s): Rui Gomes
Fernando Lobo Pereira
Title: A Robust Reach Set MPC Scheme for Control of AUVs
Issue Date: 2018
Abstract: A Robust Model Predictive Control (MPC) scheme for the control of formations of Autonomous Underwater Vehicles (AUVs) is presented and discussed. This application domain is extremely relevant and exhibits very difficult control challenges: (i) slow, low data-rate acoustic communications, (ii) significant perturbations inherent to the hydrodynamic environment, (iii) unexpected emergence of obstacles, and (iv) severe onboard computation constraints. While the later aspect is discussed by the Reach Set MPC scheme implementation which maximizes the a priori off-line computation as enabled by taking into account, as much as possible, invariant data, the other challenges are addressed by increasing the robustness of the proposed basic MPC scheme by considering a number of intermediate steps which, in spite of the increase of the on-line computational burden, this remains strongly lower than the one associated with typical standard MPC schemes. © Springer International Publishing AG 2018.
URI: https://repositorio-aberto.up.pt/handle/10216/115914
Source: Advances in Intelligent Systems and Computing
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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