Deep learning-based luenberger observer design for discrete-time nonlinear systems
In this paper we address the problem of observer design for nonlinear discrete-time systems.
Combining the theory of so-called Kazantzis–Kravaris-Luenberger (KKL) observers and …
Combining the theory of so-called Kazantzis–Kravaris-Luenberger (KKL) observers and …
Deep kkl: Data-driven output prediction for non-linear systems
We address the problem of output prediction, ie. designing a model for autonomous
nonlinear systems capable of forecasting their future observations. We first define a general …
nonlinear systems capable of forecasting their future observations. We first define a general …
Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges
Model-based approaches have played a significant role in automotive electronics for diesel
engines and aftertreatment systems, while they also have some drawbacks that cannot be …
engines and aftertreatment systems, while they also have some drawbacks that cannot be …
Hybrid multi-observer for improving estimation performance
Various methods are nowadays available to design observers for broad classes of systems,
where the primary focus is on establishing the convergence of the estimated states …
where the primary focus is on establishing the convergence of the estimated states …
Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics
R You, Q Liu - Knowledge-Based Systems, 2024 - Elsevier
In recent years, multi-agent systems (MASs) technology, represented by swarms of
unmanned aerial vehicles (UAVs), has been continuously developed and become a hot …
unmanned aerial vehicles (UAVs), has been continuously developed and become a hot …
Learning reduced nonlinear state-space models: an output-error based canonical approach
The identification of a nonlinear dynamic model is an open topic in control theory, especially
from sparse input-output measurements. A fundamental challenge of this problem is that …
from sparse input-output measurements. A fundamental challenge of this problem is that …
Experimental Investigation and CFD Analysis of Pressure Drop in an ORC Boiler for a WHRS Implementation
Waste heat dissipated in the exhaust system of a combustion engine represents a major
source of energy to be recovered and converted into useful work. The Waste Heat Recovery …
source of energy to be recovered and converted into useful work. The Waste Heat Recovery …
Design of an MPC control policy for a non-linear system based on PWA model representation
A Pietrinferni - 2024 - webthesis.biblio.polito.it
Piecewise affine systems have emerged as focal points of study within the realm of control
theory due to their ability to accurately model complex, non-linear dynamical systems. This …
theory due to their ability to accurately model complex, non-linear dynamical systems. This …
[PDF][PDF] MASTER'S DEGREE THESIS
Piecewise affine systems have emerged as focal points of study within the realm of control
theory due to their ability to accurately model complex, non-linear dynamical systems. This …
theory due to their ability to accurately model complex, non-linear dynamical systems. This …
Design, optimization and control by condensation pressure manipulation of an ORC based waste heat recovery system in heavy-duty trucks
FL Galuppo - 2021 - search.proquest.com
Design, Optimization and Control by Condensation Pressure Manipulation of an ORC Based
Waste Heat Recovery System in Heavy-Duty Trucks Abstract The new European regulation …
Waste Heat Recovery System in Heavy-Duty Trucks Abstract The new European regulation …