Qualitative comparison between two open water canal models

Trabalho apresentado em 9th Portuguese Conference on Automatic Control, 2010, Coimbra, Portugalinfo:eu-repo/semantics/publishedVersio

A closed-loop control scheme for a class of piecewise affine systems

Trabalho apresentado em 8th Portuguese Conference on Automatic Control, 21 a 23 de Julho de 2008, Vila Real, Portugalinfo:eu-repo/semantics/publishedVersio

Modular modeling for large scale canal networks

Trabalho apresentado em 10th Portuguese Conference on Automatic Control, 2012, Funchal, Portugalinfo:eu-repo/semantics/publishedVersio

Efficient Operations at Intermodal Terminals Using a Multi-agent System

Trabalho apresentado em 12th Portuguese Conference on Automatic Control, 2016, Guimarães, Portugal, 2016info:eu-repo/semantics/publishedVersio

Sensor fault tolerant architecture for irrigation canals

10th Portuguese Conference on Automatic Control, 2012, Funchal, Portugalinfo:eu-repo/semantics/publishedVersio

A novel control architecture based on behavior trees for an omni-directional mobile robot

Robotic systems are increasingly present in dynamic environments. This paper proposes a hierarchical control structure wherein a behavior tree (BT) is used to improve the flexibility and adaptability of an omni-directional mobile robot for point stabilization. Flexibility and adaptability are crucial at each level of the sense–plan–act loop to implement robust and effective robotic solutions in dynamic environments. The proposed BT combines high-level decision making and continuous execution monitoring while applying non-linear model predictive control (NMPC) for the point stabilization of an omni-directional mobile robot. The proposed control architecture can guide the mobile robot to any configuration within the workspace while satisfying state constraints (e.g., obstacle avoidance) and input constraints (e.g., motor limits). The effectiveness of the controller was validated through a set of realistic simulation scenarios and experiments in a real environment, where an industrial omni-directional mobile robot performed a point stabilization task with obstacle avoidance in a workspace.This work was financed by national funds from the FCT (Foundation for Science and Technology), I.P., through IDMEC under LAETA, project UIDB\50022\2020. The work of Rodrigo Bernardo was supported by the PhD Scholarship BD\6841\2020 from the FCT. This work indirectly received funding from the European Union’s Horizon 2020 programme under StandICT.eu 2026 (Grant Agreement No. 101091933).info:eu-repo/semantics/publishedVersio

Assessment of data-driven modeling strategies for water delivery canals

Conferência: CONTROLO’2012 - 16-18 July 2012 - FunchalThe aim of this work is to develop nonlinear dynamical models for the canal system of Núcleo de Hidráulica e Controlo de Canais. The canal is a nonlinear system and thus should be modeled to meet given operational requirements, while capturing all relevant system dynamics, such as the resonance waves created due to the movements of gates, and also contributing to the controller precision. The nonlinear modeling is based on data-driven methods, namely Composite Local Linear Models, Fuzzy Models and Artificial Neural Networks. These models are identified using data collected from the experimental facility, and their performance is assessed based on suitable validation criteria. The modeling results show the effectiveness of these models while capturing all significant dynamics for the canal system

MPC Approach for Synchronized Supply Chains of Perishable Goods

Trabalho apresentado em 7th International Conference on Industrial Engineering and Systems Management (IESM’17), 2017,Saarbrucken, GermanyThe movement of perishable goods is growing worldwide. Perishable goods need to be available to the market before the expiration date. With the decrease in inventory levels the components of a supply chain become even more integrated and dependent on coordinated decisions. Information regarding perishable goods must be visible throughout the supply chain for avoiding goods loss. A Model Predictive Control (MPC) heuristic to address operations management at supply chains of perishable goods is proposed in this paper. The approach is capable to follow the remaining time until expiration date which is critical to avoid losses. The supply chain is modeled using a state-space representation and operations management at the supply chain is formulated as an MPC Problem. In order to cope with operational decisions, the problem is solved on a periodic basis. The proposed approach is capable to deal with production decisions, monitor work-in-progress (WIP), and make transport assignments while monitoring the remaining time until the expiration date. Flows over the supply chain can be synchronized and therefore we named this type of supply chain a Synchronized Supply Chain (SSC). The approach is modular and easily scalable for largescale supply chains. Numerical results illustrate these statements.info:eu-repo/semantics/publishedVersio

Data based modeling of a large scale water delivery system

Trabalho apresentado em 12th Portuguese Conference on Automatic Control, 2016, Guimarães, Portugalinfo:eu-repo/semantics/publishedVersio