Digital twinML-assisted Bayesian Calibration of Accelerator Digital TwinarXiv API — полнотекстовый поиск "digital twin" · 14hDigital twinDigital Twin Testbed for Cyberattack and Defense Analysis in Hospital IT/OT EnvironmentsarXiv API — полнотекстовый поиск "digital twin" · 18hModellingGenerative Agent-based Simulation of Mobility Policy Preferences from SurveysarXiv — Computers and Society (cs.CY) · yesterdayForecastingScalable Gaussian Process with Trigonometric Features for Safe MPCarXiv — Systems and Control (eess.SY) · yesterdayForecastingTwo-Layer MPC for Sustainable Data Centers with Workload Flexibility and Heat RecoveryarXiv — Systems and Control (eess.SY) · yesterdayForecastingIterative MPC without Derivatives for Constrained Nonlinear SystemsarXiv — Systems and Control (eess.SY) · yesterdayForecastingDisturbance-adaptive MPC with Bounds on Average Constraint ViolationsarXiv — Systems and Control (eess.SY) · yesterdayDigital twinDigital Twin Degradation: Detecting Cyber Physical Attacks via Temporal InconsistenciesarXiv API — полнотекстовый поиск "digital twin" · yesterdayForecastingControl Architecture for Fast Frequency Regulation with High Inverter-Based Resource PenetrationarXiv — Systems and Control (eess.SY) · 2dDigital twinDigital Twin-Based Intrusion Detection for Vehicle Powertrain CAN BusarXiv API — полнотекстовый поиск "digital twin" · yesterdayDigital twinPRISM: Decision-Centric Predictive Sensing for Cognitive Digital Twins in 6GarXiv API — полнотекстовый поиск "digital twin" · yesterdayModellingNeural Network-Based Parameter Estimation for a Labour Market ABMarXiv — Multiagent Systems (cs.MA) · 2d

Iterative MPC without Derivatives for Constrained Nonlinear Systems

US & West · yesterday

An iterative MPC algorithm stabilizes constrained nonlinear systems without computing derivatives. The method linearizes dynamics via state- and control-dependent coefficients and solves a sequence of linear-quadratic programs, proving convergence near the origin.

Why it matters

Offers an efficient way to control nonlinear systems, important for industrial applications where derivatives are hard to obtain.

Relevant to DT products

Original headline: Iterative State- and Control-Dependent Model Predictive Control: A Jacobian-Free Formulation for Constrained Nonlinear Systems

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.