Results 71 to 80 of about 903 (207)
Learning Koopman Operator under Dissipativity Constraints
IFAC-PapersOnLine, 2020 This paper addresses a learning problem for nonlinear dynamical systems with incorporating any specified dissipativity property. The nonlinear systems are described by the Koopman operator, which is a linear operator defined on the infinite-dimensional lifted state space.
Keita Hara, Masaki Inoue, Noboru Sebe
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On Computation of Koopman Operator from Sparse Data [PDF]
2019 American Control Conference (ACC), 2019 In this paper, we propose a novel approach to compute the Koopman operator from sparse time series data. In recent years there have been considerable interests in operator theoretic methods for data-driven analysis of dynamical systems. Existing techniques for the approximation of the Koopman operator require sufficiently large data sets, but in many ...
Subhrajit Sinha +2 more
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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 +2 more
wiley +1 more source
Uncertainty Quantification of Autoencoder-Based Koopman Operator
2024 American Control Conference (ACC)6 pages, 3 ...
Jin Sung Kim +2 more
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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 +2 more
wiley +1 more source
Koopman Explicit Model Following Control Framework for a Robotic Manipulator
IEEE AccessRobotic manipulators have nonlinear and coupled dynamics, and this situation makes accurate modeling and control difficult under parameter uncertainties and external effects.
Oguz Kaan Hancioglu, Mehmet Onder Efe
doaj +1 more source
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 +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 Operator, Geometry, and Learning
, 2020 We provide a framework for learning of dynamical systems rooted in the concept of representations and Koopman operators. The interplay between the two leads to the full description of systems that can be represented linearly in a finite dimension, based on the properties of the Koopman operator spectrum.
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Blubber Thickening Driven by UCP1 Inactivation: Insights from a Cetacean‐Like Transgenic Mouse Model
Integrative Zoology, EarlyView.UCP1 inactivation of cetaceans in mice drives BAT whitening and iWAT hyperplasia, promoting fat accumulation for aquatic adaptation. Abstract Cetaceans possess thick blubber, a specialized adipose tissue essential for thermal insulation, a streamlined body form, energy storage, and buoyancy. However, the mechanisms that underpin this adaptation are not
Qian Zhang +5 more
wiley +1 more source