Results 51 to 60 of about 12,894,975 (292)

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

IoT Fog Computing Optimization Method Based on Improved Convolutional Neural Network

IEEE Access
The rapid development of communication technology has promoted the development of the Internet of Things technology. It has resulted in a scarcity of computing resources for the Internet of Things devices, and limited the further development of the ...
Bing Jing, Huimin Xue
doaj   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Theory and Inference for a Markov-Switching GARCH Model [PDF]

We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Jeroen V.K. Rombouts, Arie Preminger, Luc Bauwens   +2 more
core   +6 more sources

Data-Driven Volt/VAR Optimization for Modern Distribution Networks: A Review

IEEE Access
The Volt/Var optimization (VVO) enables advanced control strategy development for voltage regulation. With the recent advancement of data-driven approaches and communication infrastructure, realtime decision-making through VVO can effectively address ...
Sarah Allahmoradi, Shahabodin Afrasiabi, Xiaodong Liang, Junbo Zhao, Mohammad Shahidehpour   +4 more
doaj   +1 more source

Limit Synchronization in Markov Decision Processes [PDF]

, 2014
Markov decision processes (MDP) are finite-state systems with both strategic and probabilistic choices. After fixing a strategy, an MDP produces a sequence of probability distributions over states. The sequence is eventually synchronizing if the probability mass accumulates in a single state, possibly in the limit.
Doyen, Laurent, Shirmohammadi, Mahsa, Massart, Thierry   +2 more
openaire   +4 more sources

One-Counter Markov Decision Processes [PDF]

Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010
Updated preliminary version, submitted to ...
T. Brazdil, V. Brozek, K. Etessami (Kousha), A. Kucera, D.K. Wojtczak (Dominik)   +4 more
openaire   +6 more sources

A New Decision Support Framework for Managing Foot-and-mouth Disease Epidemics [PDF]

, 2014
Animal disease epidemics such as the foot-and-mouth disease (FMD) pose recurrent threat to countries with intensive livestock production. Efficient FMD control is crucial in limiting the damage of FMD epidemics and securing food production.
Mourits, Monique C., Huirne, Ruud B., Kristensen, Anders Ringgaard, Kristensen, A.R., Ge, Lan, Mourits, M.C.M., Huirne, R.B.M., Ge, L.   +7 more
core   +1 more source