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Listar por autor "Cembrano, Gabriela"
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Ponencia
A Novel Formulation of Economic Model Predictive Control for Periodic Operations
Wang, Ye; Muñoz de la Peña Sequedo, David; Puig, Vicenç; Cembrano, Gabriela (IEEE, 2018)This paper proposes a novel formulation of economic model predictive control (MPC) for linear systems with periodic ...
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Artículo
Distributed Zonotopic Set-Membership State Estimation based on Optimization Methods with Partial Projection
Wang, Ye; Alamo, Teodoro; Puig, Vicenç; Cembrano, Gabriela (Elsevier, 2017-07)A distributed set-membership approach is proposed for the state estimation of large-scale systems. The uncertain system ...
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Artículo
Economic model predictive control based on a periodicity constraint
Wang, Ye; Salvador Ortiz, José Ramón; Muñoz de la Peña Sequedo, David; Puig, Vicenç; Cembrano, Gabriela (Elsevier, 2018-08)This paper addresses a novel economic model predictive control (MPC) formulation based on a periodicity constraint to ...
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Artículo
Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks
Wang, Ye; Alamo, Teodoro; Puig, Vicenç; Cembrano, Gabriela (MDPI, 2018-04-19)This paper presents the application of an economic model predictive control (MPC) for the operational management of water ...
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Ponencia
Guaranteed state estimation and fault detection based on zonotopes for differential-algebraic-equation systems
Wang, Ye; Puig, Vicenç; Cembrano, Gabriela; Alamo, Teodoro (Institute of Electrical and Electronics Engineers. IEEE, 2016)This paper presents a set-membership approach based on zonotopes for differential-algebraic-equation (DAE) systems with ...
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Artículo
Periodic Nonlinear Economic Model Predictive Control with Changing Horizon for Water Distribution Networks
Wang, Ye; Salvador Ortiz, José Ramón; Muñoz de la Peña Sequedo, David; Puig, Vicenç; Cembrano, Gabriela (Elsevier, 2017-07)A periodic nonlinear economic model predictive control (EMPC) with changing prediction horizon is proposed for the optimal ...