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9 Results Found

  • Article
  • Open Access
4 Citations
1,784 Views
21 Pages

29 July 2024

This study presents the coupling-memory-sampled data control (CMSDC) design for the Takagi–Sugeno (T-S) fuzzy system that solves the stabilization issue of a surface-mounted permanent-magnet synchronous generator (PMSG)-based wind energy conver...

(This article belongs to the Section A3: Wind, Wave and Tidal Energy)
  • Article
  • Open Access
840 Views
26 Pages

7 July 2026

This paper presents an LMI-based discrete PI–P cascade control method for active quarter-car suspension systems. The quarter-car dynamics are reformulated into a modified cascade sampled-data model that retains the body–wheel coupling bet...

(This article belongs to the Special Issue Actuator Fault Diagnosis, State Detection and Fault Tolerant Control for Ground and Rail Vehicles, 2nd Edition)
  • Article
  • Open Access
898 Views
20 Pages

Design of Extended Dissipative Approach via Memory Sampled-Data Control for Stabilization and Its Application to Mixed Traffic System

  • Wimonnat Sukpol,
  • Vadivel Rajarathinam,
  • Porpattama Hammachukiattikul and
  • Putsadee Pornphol

29 July 2025

This study examines the extended dissipativity analysis for newly designed mixed traffic systems (MTSs) utilizing the coupling memory sampled-data control (CMSDC) approach. The traffic flow creates a platoon, and the behavior of human-driven vehicles...

(This article belongs to the Special Issue Modeling, Control, and Optimization for Transportation Systems)
  • Article
  • Open Access
8 Citations
2,037 Views
17 Pages

18 February 2024

The quality of the intermediate point temperature control of a supercritical unit is directly related to the quality of the coal–water ratio and main steam temperature control of the supercritical unit, which is also related to the economy and...

(This article belongs to the Section F5: Artificial Intelligence and Smart Energy)
  • Article
  • Open Access
669 Views
28 Pages

13 May 2026

Accurate prediction of superheated steam temperature (SST) is critical for the safe and efficient operation of large-scale thermal power units, particularly under large load variations and high thermal inertia. This study proposes an iTransformer-bas...

(This article belongs to the Section Sensor Networks)
  • Article
  • Open Access
567 Views
28 Pages

Deep Reinforcement Learning-Based Control of Clean Coal Ash Content in Dense Medium Separation

  • Xinlei Li,
  • Ranfeng Wang,
  • Xiang Fu,
  • Longkang Li and ,
  • Shunqiang Wang,
  • Gan Luo and
  • Hanchi Ren
  • + 2 authors+ 0 author

11 May 2026

Aiming at the characteristics of multivariable coupling, pronounced nonlinearity, time-varying behavior, and time delay effects in clean coal ash content during dense medium cyclone separation, which make it difficult for traditional control methods...

(This article belongs to the Section Petroleum and Low-Carbon Energy Process Engineering)
  • Article
  • Open Access
640 Views
19 Pages

11 December 2025

The operational modes and fault characteristics of distribution networks incorporating distributed generation are becoming increasingly complex. This complexity increases the difficulty of predicting switch control action times and leads to scattered...

(This article belongs to the Special Issue Application of Artificial Intelligence in Industrial Process Modelling and Optimization (2nd Edition))
  • Article
  • Open Access
51 Citations
7,856 Views
16 Pages

Working Memory Decline in Alzheimer’s Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS

  • David Perpetuini,
  • Antonio Maria Chiarelli,
  • Chiara Filippini,
  • Daniela Cardone and ,
  • Pierpaolo Croce,
  • Ludovica Rotunno,
  • Nelson Anzoletti,
  • Michele Zito,
  • Filippo Zappasodi and
  • Arcangelo Merla
  • + 5 authors+ 0 author

6 December 2020

Alzheimer’s disease (AD) is characterized by working memory (WM) failures that can be assessed at early stages through administering clinical tests. Ecological neuroimaging, such as Electroencephalography (EEG) and functional Near Infrared Spec...

(This article belongs to the Section Information Theory, Probability and Statistics)
  • Article
  • Open Access
4 Citations
2,156 Views
22 Pages

10 April 2025

Excessive total nitrogen (TN) in water bodies leads to eutrophication, algal blooms, and hypoxia, which pose significant risks to aquatic ecosystems and human health. Accurate real-time TN prediction is crucial for effective water quality management....

(This article belongs to the Special Issue Monitoring and Modelling of Contaminants in Water Environment)