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A dynamic penalty approach to state constraint handling in deep reinforcement learning
ArticleAbstract: Deep reinforcement learning (RL) has emerged as a promising approach to solving sequential optimizatPalabras claves:Constraint handling, Dynamic penalty, Penalty approach, reinforcement learningAutores:Lee J.H., Víctor M. Zavala, Yoo H.Fuentes:scopusA fast moving horizon estimation algorithm based on nonlinear programming sensitivity
ArticleAbstract: Moving horizon estimation (MHE) is an efficient optimization-based strategy for state estimation. DePalabras claves:Estimation algorithms, Large-scale, nonlinear programming, real-time, Sensitivity AnalysisAutores:Biegler L.T., Laird C.D., Víctor M. ZavalaFuentes:scopusA scalable design of experiments framework for optimal sensor placement
ArticleAbstract: We present a scalable design of an experiments framework for sensor placement in systems described bPalabras claves:Estimation, Scalable, sensor data, Sensor placementAutores:Anitescu M., Víctor M. Zavala, Yu J.Fuentes:scopusAdvanced step nonlinear model pbkp_redictive control for air separation units
ArticleAbstract: Cryogenic air separation units constitute an integral part of many industrial processes and next genPalabras claves:Advanced step NMPC, Air separation units, Large-scale, Nonlinear model pbkp_redictive control, nonlinear programmingAutores:Biegler L.T., Huang R., Víctor M. ZavalaFuentes:scopusMultiscale model pbkp_redictive control of battery systems for frequency regulation markets using physics-based models
ArticleAbstract: We propose a multiscale model pbkp_redictive control (MPC) framework for stationary battery systemsPalabras claves:Battery, energy, Frequency regulation, MARKETS, Model Pbkp_redictive ControlAutores:Cao Y., Lee S.B., Subramanian V.R., Víctor M. ZavalaFuentes:scopusOn-line economic optimization of energy systems using weather forecast information
ArticleAbstract: We establish an on-line optimization framework to exploit weather forecast information in the operatPalabras claves:ECONOMICS, energy, Large-scale, stochastic, WeatherAutores:Anitescu M., Constantinescu E., Krause T., Víctor M. ZavalaFuentes:scopusInference of building occupancy signals using moving horizon estimation and Fourier regularization
ArticleAbstract: We study the problem of estimating time-varying occupancy and ambient air flow signals using noisy cPalabras claves:Air flow, Carbon dioxide, FOURIER, Moving horizon estimation, occupancy, regularizationAutores:Víctor M. ZavalaFuentes:scopusImage-based model pbkp_redictive control via dynamic mode decomposition
ArticleAbstract: We present a data-driven model pbkp_redictive control (MPC) framework for systems with high state–spPalabras claves:Data-driven, Dynamic mode decomposition, Image data, Model Pbkp_redictive Control, Model reductionAutores:Lu Q., Víctor M. ZavalaFuentes:scopusRobustly stable economic NMPC for non-dissipative stage costs
ArticleAbstract: We analyze the inherent robustness properties of an economic NMPC formulation in which the controllePalabras claves:ECONOMICS, Nonlinear control, Pbkp_redictive control, Robust stabilityAutores:Biegler L.T., Griffith D., Víctor M. ZavalaFuentes:scopusSAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control
ArticleAbstract: We present a novelty detection framework for Convolutional Neural Network (CNN) sensors that we callPalabras claves:Computer Vision, deep learning, Novelty detection, process controlAutores:Coutinho L.D.J., Pulsipher J.L., Soderstrom T.A., Víctor M. ZavalaFuentes:scopus