Results 181 to 190 of about 894 (220)

Application of advanced causal analyses to identify processes governing secondary organic aerosols. [PDF]

Sci Rep
Sinha S, Sharma H, Shrivastava M.
europepmc   +1 more source

Model-Based Control of a Continuum Manipulator with Online Jacobian Error Compensation Using Kalman Filtering. [PDF]

Cyborg Bionic Syst
Zhai Y, Xu J, Mo H, Zhang C, Sun D.
europepmc   +1 more source

Establishing New Pediatric Thresholds for Digits-In-Noise Testing. [PDF]

Laryngoscope Investig Otolaryngol
McBride M, Dunlap A, Chinnadurai S, B Roby B, Redmann A, C Meyer A, Jakubowski L, Herd H, Maher R, Kimlinger C, Poland M, Finch M, Jayawardena ADL.   +12 more
europepmc   +1 more source

Delayformer: Spatiotemporal Transformation for Predicting High-Dimensional Dynamics. [PDF]

Adv Sci (Weinh)
Wang Z, Tao P, Chen L.
europepmc   +1 more source

Memory kernel minimization-based neural networks for discovering slow collective variables of biomolecular dynamics. [PDF]

Nat Comput Sci
Liu B, Cao S, Boysen JG, Xue M, Huang X.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Data-Driven Control of Soft Robots Using Koopman Operator Theory

IEEE Transactions on Robotics, 2021
Controlling soft robots with precision is a challenge due to the difficulty of constructing models that are amenable to model-based control design techniques. Koopman operator theory offers a way to construct explicit dynamical models of soft robots and to control them using established model-based control methods.
Daniel Bruder, R Brent Gillespie, C David Remy   +2 more
exaly   +2 more sources

On applications of the spectral theory of the Koopman operator in dynamical systems and control theory

2015 54th IEEE Conference on Decision and Control (CDC), 2015
Recent contributions have extended the applicability of Koopman operator theory from dynamical systems to control. Stability theory got reformulated in terms of spectral properties of the Koopman operator [1], providing a nice link between the way we treat linear systems and nonlinear systems and opening the door for the use of classical linear e.g ...
Igor Mezic
exaly   +2 more sources

Introduction to the Koopman Operator in Dynamical Systems and Control Theory

, 2020
This introductory chapter provides an overview of the Koopman operator framework. We present basic notions and definitions, including those related to the spectral properties of the operator. We also review numerical methods that are used to represent the operator on a finite-dimensional basis and to compute its spectral properties from data (DMD ...
Mauroy, Alexandre, Susuki, Yoshihiko, Mezić, Igor   +2 more
openaire   +2 more sources

Dual systems identification methods based on Koopman operator theory

, 2018
We report our recent developments on Koopman operator lifting techniques for system identification and parameter estimation. We present two methods, which are based on the key idea of identifying the Koopman operator in a lifted space of observables, but rely on two different finite-dimensional approximations of the Koopman operator.
Mauroy, Alexandre, Goncalves, Jorge
openaire   +2 more sources

Temporal Autoencoder for Identification and Predictive Control of Nonlinear Dynamics based on Koopman Operator Theory

2025 American Control Conference (ACC)
This paper presents an approach to Model Predictive Control (MPC) for nonlinear systems by combining Koopman operator theory with autoencoder networks enhanced by temporal layers for time-delay embedding. Traditional Koopman-based methods miss temporal dependencies, so we incorporate Temporal Convolutional Networks (TCN), Long Short-Term Memory (LSTM),
Shenoy, Sucheth, Sharan, Bindu, Werner, Herbert   +2 more
openaire   +2 more sources