Results 51 to 60 of about 1,082,543 (312)
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.
Daniel Bruder +4 more
semanticscholar +1 more source
Slow collective variables and molecular kinetics from short off-equilibrium simulations [PDF]
, 2017 Markov state models (MSMs) and master equation models are popular approaches to approximate molecular kinetics, equilibria, metastable states, and reaction coordinates in terms of a state space discretization usually obtained by clustering.
Klus, Stefan +5 more
core +1 more source
Data-Driven Congestion Control of Micro Smart Sensor Networks for Transparent Substations
IEEE Access, 2021 Micro smart sensors and sensor networks are the key bases for building a fully visible, perceptible and controllable transparent substation in power grid.
Ke Zhou +3 more
doaj +1 more source
Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians
, 2017 In this paper we propose a new Koopman operator approach to the decomposition of nonlinear dynamical systems using Koopman Gramians. We introduce the notion of an input-Koopman operator, and show how input-Koopman operators can be used to cast a ...
alvin +11 more
core +1 more source
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.
Hara, Keita, Inoue, Masaki, Sebe, Noboru
openaire +2 more sources
IEEE AccessThis paper proposes Koopman operator-based Stochastic Model Predictive Control (K-SMPC) for enhanced lateral control of autonomous vehicles. The Koopman operator is a linear map representing the nonlinear dynamics in an infinite-dimensional space.
Jin Sung Kim +3 more
doaj +1 more source
On Convergence of Extended Dynamic Mode Decomposition to the Koopman Operator
, 2017 Extended Dynamic Mode Decomposition (EDMD) is an algorithm that approximates the action of the Koopman operator on an $N$-dimensional subspace of the space of observables by sampling at $M$ points in the state space.
Korda, Milan, Mezić, Igor
core +1 more source
Shaping Pulses to Control Bistable Monotone Systems Using Koopman Operator [PDF]
, 2016 In this paper, we further develop a recently proposed control method to switch a bistable system between its steady states using temporal pulses. The motivation for using pulses comes from biomedical and biological applications (e.g.
Goncalves, Jorge +2 more
core +2 more sources
A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators
, 2017 An outstanding challenge in nonlinear systems theory is identification or learning of a given nonlinear system's Koopman operator directly from data or models.
arbabi +7 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source