Results 51 to 60 of about 549 (197)

Error Bounds for Finite-Dimensional Stochastic Koopman Approximations

IEEE Open Journal of Control Systems
Koopman operator theory provides a popular framework for lifting a nonlinear dynamical system to a linear system in a higher dimensional space using a dictionary of observable functions.
Seyyed Reza Jafari, Hamidreza Modares, Farnaz Adib Yaghmaie   +2 more
doaj   +1 more source

Her Vision Guiding Him Toward Change: The Interactive Effects of Visionary Leadership, Leader Gender, and Follower Gender

Journal of Organizational Behavior, EarlyView.
ABSTRACT Visionary leadership is widely regarded as an effective tool for motivating followers. However, two influential theories make opposing predictions about what happens when women enact agentic leadership behavior. Role congruity theory predicts that such behavior can produce backlash effects, whereas expectancy violation theory predicts ...
Martin Buss, Mara J. Metzger, Eric Kearney   +2 more
wiley   +1 more source

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath, Peng Shi, Ramesh K. Agarwal   +2 more
wiley   +1 more source

Koopman Operator Methods in Structural Health Monitoring: A Systematic Review Towards Hybrid Physics–Data Frameworks

Applied Sciences
Structural health monitoring (SHM) is essential for the safety and long-term performance of civil and mechanical infrastructure, yet traditional vibration-based approaches often struggle with nonlinear behavior and environmental variability.
Abiodun Victor Alagbada, Tom Lahmer
doaj   +1 more source

Koopman operator theory: fundamentals, control, and applications

The Koopman operator has gained considerable attention due to its ability to provide a global linear representation of highly complex dynamical systems. The operator describes nonlinear dynamics in a linear way through the lens of real- or complex-valued observable functions.
Mezić, Igor, Cortés, Jorge, Worthmann, Karl, Lazar, Mircea, Lederer, Armin   +4 more
openaire   +2 more sources

Spectral Submanifolds of Delay Systems: Control in Continuous and Discrete Time

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents both continuous‐time and discretization‐based approaches for constructing spectral submanifolds (SSMs) for time delay systems. The continuous‐time approach built upon sun–star calculus, reformulates the governing delay differential equation (DDE) as an operator differential equation (OpDE).
Bence Szaksz, Gábor Orosz, Gábor Stépán   +2 more
wiley   +1 more source

Deep Embedding Koopman Neural Operator-Based Nonlinear Flight Training Trajectory Prediction Approach

Mathematics
Accurate flight training trajectory prediction is a key task in automatic flight maneuver evaluation and flight operations quality assurance (FOQA), which is crucial for pilot training and aviation safety management. The task is extremely challenging due
Jing Lu, Jingjun Jiang, Yidan Bai
doaj   +1 more source

Lyapunov‐Function‐Based Stability Region Estimation in Transient Stability Assessment of Inverter‐Based Resources: A Review

High Voltage, EarlyView.
ABSTRACT Electric power systems are undergoing a fundamental transition from synchronous generator (SG)‐dominated systems to inverter‐based resource (IBR)‐dominated systems. Lyapunov‐ and energy‐function‐based direct methods provide an effective way to estimate the stability region, also known as the region of attraction (ROA), and have become a ...
Yifan Zhang, Yitong Li, Hsiao‐Dong Chiang, Xiongfei Wang, Yang Wu, Jinjun Liu   +5 more
wiley   +1 more source

Estimating the Common Output Cycle in Australia

Australian Economic Review, EarlyView.
ABSTRACT Background/Objective This study develops a statistical measure of Australia's common output cycle and investigates the extent to which cyclical fluctuations are shared across industries. It also evaluates whether the common output cycle provides useful information for forecasting inflation.
Luke Hartigan
wiley   +1 more source

Koopman Spectral Linearization vs. Carleman Linearization: A Computational Comparison Study

Mathematics
Nonlinearity presents a significant challenge in developing quantum algorithms involving differential equations, prompting the exploration of various linearization techniques, including the well-known Carleman Linearization.
Dongwei Shi, Xiu Yang
doaj   +1 more source