Results 41 to 50 of about 15,234,416 (131)

Zero overshoot and fast transient response using a fuzzy logic controller [PDF]

, 2012
In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core   +3 more sources

Efficient learning of uncertainty distributions in coupled multidisciplinary systems through sensory data

IET Cyber-Physical Systems: Theory &Applications, Volume 10, Issue 1, January/December 2025.
Coupled multidisciplinary systems are crucial in fields like aerospace and robotics, where accurate analysis depends on effectively estimating uncertainties. This paper introduces a framework using a non‐linear/non‐Gaussian hidden Markov model (HMM) to capture the stochastic nature of these systems, employing particle filtering and Bayesian ...
Negar Asadi, Seyede Fatemeh Ghoreishi
wiley   +1 more source

Integrated, Artificial‐Intelligence‐Based Power Management for Building Electrical Microgrids

IET Energy Systems Integration, Volume 7, Issue 1, January/December 2025.
ABSTRACT As global energy demand continues to rise alongside the push for green technologies, artificial intelligence (AI) based power management systems play a pivotal role in achieving energy efficiency, grid stability and carbon footprint reduction, making them a vital component of future‐ready building infrastructures.
Eleftherios G. Kyriakou, Dimitra G. Kyriakou, Fotios D. Kanellos, Dimitris Ipsakis   +3 more
wiley   +1 more source

Sustainable Business Assessment of Remanufacturing Waste Cooking Oil to Produce Biodiesel

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
To replace fossil diesel, biodiesel is produced by the transesterification of vegetable oils. To improve the environmental sustainability, biodiesel can be produced using waste cooking oil (WCO). To highlight to broad relevance of this process, we analyzed the sustainability of WCO‐derived biodiesel based on commercial industrial‐scale machinery and ...
Ziyad Tariq Abdullah, Julie Anne Glasscock, Sanjay Basumatary   +2 more
wiley   +1 more source

A Multi-attribute Decision Making Method for the Evaluation of Software Enterprise Based on T-Spherical Fuzzy Dombi Aggregation Information

, 2022
Dealing with uncertain and incomplete information is a challenging task and several fuzzy frameworks have been established.. T-spherical fuzzy set (TSFS) is one of the freshly established models that associate human opinion with a membership grade (MG ...
Garg, Harish, Gul, Zunaira, Ullah, Kifayat, Mahmood, Tahir   +3 more
core   +1 more source

An Overview of Remaining Useful Life Prediction of Battery Using Deep Learning and Ensemble Learning Algorithms on Data‐Dependent Models

International Transactions on Electrical Energy Systems, Volume 2025, Issue 1, 2025.
There has been expeditious development and significant advancements accomplished in the electrified transportation system recently. The primary core component meant for power backup is a lithium‐ion battery. One of the keys to assuring the vehicle’s safety and dependability is an accurate remaining useful life (RUL) forecast.
Sravanthi C. L., Chandra Sekhar J. N., N. Chinna Alluraiah, Dhanamjayulu C., Harish Kumar Pujari, Baseem Khan, Kamran Iqbal   +6 more
wiley   +1 more source

On Globular T‐Spherical Fuzzy Sets With Weighted Aggregation Operators and Application to Multicriteria Group Decision‐Making

Journal of Mathematics, Volume 2025, Issue 1, 2025.
In this paper, we give the concept of novel globular T‐spherical fuzzy sets (G‐TSFSs) as an innovative extension of TSFSs and circular spherical fuzzy sets (C‐SFSs). G‐TSFSs represent membership, indeterminacy, and nonmembership degrees using a globular/sphere bound that can offer a more accurate portrayal of vague, ambiguous, and imprecise information.
Miin-Shen Yang, Yasir Akhtar, Mehboob Ali, Musavarah Sarwar   +3 more
wiley   +1 more source

A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection

WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.
Graphical summary of the review paper. Abstract Early diagnosis of abnormal cervical cells enhances the chance of prompt treatment for cervical cancer (CrC). Artificial intelligence (AI)‐assisted decision support systems for detecting abnormal cervical cells are developed because manual identification needs trained healthcare professionals, and can be ...
Smith K. Khare, Victoria Blanes‐Vidal, Berit Bargum Booth, Lone Kjeld Petersen, Esmaeil S. Nadimi   +4 more
wiley   +1 more source

Robust T‐S fuzzy‐model‐based nonfragile sampled‐data control for cyber‐physical systems with stochastic delay and cyber‐attacks

IET Control Theory &Applications, Volume 18, Issue 16, Page 2019-2037, November 2024.
This work addresses the nonfragile sampled‐data control of T‐S fuzzy model for cyber‐physical systems subject to cyber‐attacks. In the communication between physical and cyber layers the signals suffered by stochastic delays and cyber‐attacks. The fractional delayed state looped functional approach is presented to handle the formulated Lyapunov ...
Srinivasan Arunagirinathan, Tae H. Lee
wiley   +1 more source

Matrix formulation of fuzzy rule-based systems [PDF]

, 1996
In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core