ModellingНобелевскую премию по экономике 2026 года присудили за макроэкономические исследованияNaked Science · 19hModellingA Multi-Agent LLM System for Automated Tuning of Specialized Neural Network ModelsarXiv — Multiagent Systems (cs.MA) · yesterdayModellingMinimum Bounding Sets for N-1-1 Branch Contingencies Under Thermal and Voltage Limits in Linear Network ModelsarXiv — Systems and Control (eess.SY) · yesterdayEnergySecFD-FL: Frequency-Decoupled Federated Learning with Secure Aggregation for Charging Load Forecasting in Internet of Electric VehiclesarXiv — Systems and Control (eess.SY) · yesterdayForecastingA Fully Analog Implementation of Model Predictive Control with Application to Buck ConvertersarXiv — Systems and Control (eess.SY) · yesterdayForecastingKoopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan EnginearXiv — Systems and Control (eess.SY) · yesterdayDigital twinВ Северной Осетии внедряют цифровой двойник Владикавказа и умные камерыTechora.ru · yesterdayModellingАгентный поиск на open-source моделях: кого нашёл, сколько потратил и где всё сломалосьХабр · yesterdayDigital twinA Ray-Traced Digital Twin for 5G NR Positioning with OpenAirInterfacearXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinDigital Twin for Pre-Deployment Validation of AI-Driven Safety-Critical Industrial Edge Control LoopsarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinLeveraging Human-In-The-Loop Demonstrations in Reinforcement Learning for Digital Twin-Driven Robot FlexibilityarXiv API — полнотекстовый поиск "digital twin" · 4dDigital twinLIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In HomesarXiv API — полнотекстовый поиск "digital twin" · 4d

Koopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan Engine

US & West · yesterday

arXiv:2604.01730v3 Announce Type: replace-cross Abstract: This paper investigates Koopman operator-based approaches for multivariable control of a two-spool turbofan engine. A physics-based component-level model is developed to generate training data and validate the controllers.

Original headline: Koopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan Engine

Read the original: arXiv — Systems and Control (eess.SY)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

Koopman-Based Nonlinear Identification and Model Predictive Control of a Turbofan Engine

Related

A Fully Analog Implementation of Model Predictive Control with Application to Buck Converters

Model Predictive Control for Safety-Critical Systems Using Taylor's Theorem with Lagrange Remainder

Approximate Feedback Nash Equilibria in Constrained Differential Games via MPC