Results 171 to 180 of about 1,082,543 (312)
Neural network‐based offset‐free model predictive control for nonlinear systems
Abstract This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model is augmented with an integrating disturbance model, resulting in an ...
Hesam Hassanpour, Prashant Mhaskar
wiley +1 more source
Homeomorphisms group of normed vector space: Conjugacy problems and the Koopman operator [PDF]
Mickaël D. Chekroun +2 more
openalex +1 more source
Convergence properties of dynamic mode decomposition for analytic interval maps
Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
wiley +1 more source
Neurons, immune cells, and other cellular components within the disease microenvironment (such as stromal cells and tumor cells) constitute a dynamically evolving ecosystem. Neurons directly modulate immune cell activity and inflammatory responses through the release of neurotransmitters (e.g., norepinephrine and CGRP), while also promoting tumor ...
Xin Guo +11 more
wiley +1 more source
Reversing the Gaze: An Autoethnographic Critique of Transracial–Transnational Adoption to Australia
ABSTRACT In this paper, we engage with rescue and saviour narratives surrounding transracial–transnational adoption (also known as intercountry adoption) as a provocation and as manufactured myths. These myths have erased the nuances and complexities of transracial–transnational adoption by commodifying adoptees as pitiful orphans in need of rescue ...
Samara Kim +2 more
wiley +1 more source
The Koopman operator framework can be used to identify a data-driven model of a nonlinear system. Unfortunately, when the data is corrupted by noise, the identified model can be biased.
Louis Lortie, James Richard Forbes
doaj +1 more source
Understanding UK Productivity Using a Macroeconomic Lens
ABSTRACT We survey UK labor productivity over the long run, comparing it with other advanced economies, and focus on the sharp slowdown since the global financial crisis. Using a growth accounting framework, we highlight the primary role of total factor productivity (TFP), while noting that the contribution of capital shallowing is influenced by ...
Jagjit S. Chadha, Issam Samiri
wiley +1 more source
Data‐Driven Sliding Mode Control for Partially Unknown Nonlinear Systems
ABSTRACT This paper presents a novel data‐driven control framework for multi‐input multi‐output (MIMO) nonlinear systems with partially unknown dynamics and bounded disturbances. In practical scenarios, exact cancellation of system nonlinearities is often infeasible due to limited model information and unpredictable disturbances.
Jianglin Lan +2 more
wiley +1 more source
Reparameterized multiobjective control of BCG immunotherapy. [PDF]
Yue R, Dutta A.
europepmc +1 more source
Variance representations and convergence rates for data-driven approximations of Koopman operators [PDF]
Friedrich Philipp +5 more
openalex +1 more source

