Results 41 to 50 of about 132,970 (251)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

IMPLEMENTATION OF NONLINEAR FUZZY LOGIC FRACTIONAL ORDER PID CONTROLLER (NFL-FOPID) WITH FIRST ORDER TRANSFER FUNCTION

open access: yesICTACT Journal on Soft Computing, 2018
Today, the requirement of controllers in the field of engineering and process industries is going to be increased in order to control. Among all controllers, Proportional Integral Derivative (PID) controllers are widely used due to its easy ...
U. Hada, V. Soni
doaj   +1 more source

Logics of Statements in Context-Category Independent Basics

open access: yesMathematics, 2022
Based on a formalization of open formulas as statements in context, the paper presents a freshly new and abstract view of logics and specification formalisms.
Uwe Wolter
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability

open access: yesAdvanced Engineering Materials, EarlyView.
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner   +3 more
wiley   +1 more source

Logics of Statements in Context—First-Order Logic Files

open access: yesLogics
Logics of Statements in Context have been proposed as a general framework to describe and relate, in a uniform and unifying way, a broad spectrum of logics and specification formalisms, which also comprise “open formulas”.
Uwe Wolter
doaj   +1 more source

Many-Sorted First-Order Composition-Nominative Logic as Institution [PDF]

open access: yesComputer Science Journal of Moldova, 2016
In the paper the institution for many-sorted first-order composition-nominative logic (CNL) is considered. The difference from the author's previous paper on this topic is richer logical system in question due to addition of operations and sorts, and ...
Alexey Chentsov
doaj  

FIRST-ORDER MODAL LOGIC VIA LOGICAL CATEGORIES

open access: yesThe Journal of Symbolic Logic
41 ...
SILVIO GHILARDI, JÉRÉMIE MARQUÈS
openaire   +3 more sources

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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