Mostrando 9 resultados de: 9
Filtros aplicados
Subtipo de publicación
Conference Object(9)
Área temáticas
Métodos informáticos especiales(4)
Ciencias de la computación(3)
Física aplicada(3)
Programación informática, programas, datos, seguridad(3)
Dirección general(2)
Área de conocimiento
Optimización matemática(5)
Control óptimo(2)
Algoritmo(1)
Aprendizaje automático(1)
Automatización(1)
Origen
scopus(9)
Characterizing the pbkp_redictive accuracy of dynamic mode decomposition for data-driven control
Conference ObjectAbstract: Dynamic mode decomposition (DMD) is a versatile approach that enables the construction of low-orderPalabras claves:control, DATA, Dynamic mode decomposition, error bounds, Low-order modelsAutores:Lu Q., Shin S., Víctor M. ZavalaFuentes:scopusA Stochastic Dual Dynamic Programming Framework for Multiscale MPC<sup>⁎</sup>
Conference ObjectAbstract: We derive and interpret stochastic dual dynamic programming (SDDP) from the perspective of MPC to arPalabras claves:duality, energy systems, MPC, multiscale, stochastic dynamic programmingAutores:Drees K.H., Elbsat M.N., Ellis M.J., Kumar R., Víctor M. Zavala, Wenzel M.J.Fuentes:scopusA dynamic penalty function approach for constraint-handling in reinforcement learning
Conference ObjectAbstract: Reinforcement learning (RL) is attracting attention as an effective way to solve sequential optimizaPalabras claves:Constraints, Dynamic penalty, Penalty approach, reinforcement learningAutores:Lee J.H., Víctor M. Zavala, Yoo H.Fuentes:scopusA multiobjective optimization perspective on the stability of economic MPC
Conference ObjectAbstract: We interpret economic MPC as a scheme that trades off economic performance and stability. We use thiPalabras claves:Economic, MPC, Multiobjective, Price, stabilityAutores:Víctor M. ZavalaFuentes:scopusControllability and observability imply exponential decay of sensitivity in dynamic optimization
Conference ObjectAbstract: We study a property of dynamic optimization (DO) problems (as those encountered in model pbkp_redictPalabras claves:Model Pbkp_redictive Control, Moving horizon estimation, Nonlinear, Sensitivity AnalysisAutores:Shin S., Víctor M. ZavalaFuentes:scopusGraph-based modeling and decomposition of energy infrastructures
Conference ObjectAbstract: Nonlinear optimization problems are found at the heart of real-time operations of critical infrastruPalabras claves:decomposition, energy systems, GRAPHS, Nonlinear optimizationAutores:Coffrin C., Shin S., Sundar K., Víctor M. ZavalaFuentes:scopusNew Architectures for Hierarchical Pbkp_redictive Control
Conference ObjectAbstract: We analyze the structure of the Euler-Lagrange (EL) conditions of a long-horizon optimal control proPalabras claves:Euler-Lagrange, hierarchical control, Rh, Time scalesAutores:Víctor M. ZavalaFuentes:scopusNew Measures for Shaping Trajectories in Dynamic Optimization
Conference ObjectAbstract: We propose a new class of measures for shaping time-dependent trajectories in dynamic optimization (Palabras claves:Dynamic optimization, Infinite-dimensional optimization, measures, TrajectoriesAutores:Davidson B.R., Pulsipher J.L., Víctor M. ZavalaFuentes:scopusIntegrating MPC with Learning-Based and Adaptive Methods to Enhance Safety, Performance and Reliability in Automated Insulin Delivery
Conference ObjectAbstract: In this work, an adaptive-learning model pbkp_redictive control (AL-MPC) framework that integrates dPalabras claves:Adaptive model pbkp_redictive control, Automated insulin delivery, DIABÉTES, Machine learning, Recursive system identificationAutores:Askari M.R., Cinar A., Hajizadeh I., Kumar R., Víctor M. ZavalaFuentes:scopus