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We endeavor to investigate the H synthesis problem of switched fuzzy systems composed by several discrete-time subsystems. By designing a novel QTD-MD Lyapunov function, novel criteria assuring stability as well as an expected H performance are first developed. Based on these sufficient conditions, some other conditions for solving the fuzzy H controllers are derived subsequently. Furthermore, the criteria are given as LMIs, thus the implementations are easy to execute. Simulations are also provided to confirm the feasibility of the presented strategy.
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http://dx.doi.org/10.1016/j.isatra.2020.06.003 | DOI Listing |
PLoS One
September 2025
Department of Maths and Computer Science, Faculty of Science, University of Kinshasa, Kinshasa, The Democratic Republic of the Congo.
Reliable and timely fault diagnosis is critical for the safe and efficient operation of industrial systems. However, conventional diagnostic methods often struggle to handle uncertainties, vague data, and interdependent multi-criteria parameters, which can lead to incomplete or inaccurate results. Existing techniques are limited in their ability to manage hierarchical decision structures and overlapping information under real-world conditions.
View Article and Find Full Text PDFElectromagn Biol Med
September 2025
Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Subject-independent emotion detection using EEG (Electroencephalography) using Vibrational Mode Decomposition and deep learning is made possible by the scarcity of labelled EEG datasets encompassing a variety of emotions. Labelled EEG data collection over a wide range of emotional states from a broad and varied population is challenging and resource-intensive. As a result, models trained on small or biased datasets may fail to generalize well to unknown individuals or emotional states, resulting in lower accuracy and robustness in real-world applications.
View Article and Find Full Text PDFISA Trans
August 2025
Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan 430081, China; Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan 430081, China; School of Artifitial Intelligence and Automation, Wuhan U
As a critical component in hydropower systems, the Hydraulic Turbine Regulation System (HTRS) exhibits strong coupling characteristics that impose substantial challenges on control system design, necessitating the development of high-performance control strategies. To address the complex control requirements, this paper proposes an improved T-S fuzzy modeling method based on the Luenberger observer theory. It constructs a system model that combines high accuracy and simplicity.
View Article and Find Full Text PDFWater Res
September 2025
Centre for Water Systems, Department of Engineering, Faculty of Environment, Science and Economy, University of Exeter, North Park Road, Exeter, Devon, EX4 4QF, United Kingdom. Electronic address:
Evaluating groundwater infiltration (GWI) in sewer networks is essential for managing network capacities, especially amid growing pressures on network maintenance and operation caused by increasing domestic and storm water inputs. Despite this significance, GWI assessments have received limited attention, especially at large scales. In fact, no previous study has comprehensively evaluated sewersheds based on GWI scores.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
September 2025
Department of Education, Fuzhou University of International Studies and Trade, Fuzhou, China.
This study explores the integration of traditional Chinese "Fu" culture into the moral education system for students with disabilities across K-12 and higher education through artificial intelligence. By leveraging soft computing to handle cultural ambiguities, it constructs an adaptive educational framework that aligns students' cognitive characteristics with curriculum demands, thereby enhancing their identification with Chinese culture. Guided by the theory of the "Second Combination," the research employs AI-powered soft computing to analyze the semantic and cognitive dimensions of "Fu" culture.
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