Results 81 to 90 of about 17,502 (247)
Energy Science &Engineering, EarlyView.An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
Hybrid Sliding Mode/H-Infinity Control Approach for Uncertain Flexible Manipulators
IEEE Access, 2020 In this article, a hybrid control approach combining sliding mode and H-infinity is proposed for an uncertain single-link flexible manipulator. The sliding mode controller stabilizes the nonlinear manipulator system, while the H-infinity controller ...
Behrouz Kharabian, Hossein Mirinejad
doaj +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Journal of Intelligent Systems, 2013 This article presents a novel control approach, hybrid neuro-fuzzy (HNF), for the load frequency control (LFC) of a four-area interconnected power system.
Giri Surya Prakash, Sinha Sunil Kumar
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International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Ain Shams Engineering Journal, 2018 This paper presents the design of a North American Reliability Council (NERC) standards BAL-001-2 based Adaptive Neuro-Fuzzy Interface System (ANFIS) controller for multi-area deregulated power system under different contract scenarios.
Abhijith Pappachen, A. Peer Fathima
doaj +1 more source
Sustainable Development, EarlyView.ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
wiley +1 more source
Neuro- Fuzzy Statistical Process Control
مدیریت صنعتی, 2009 Controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. One of the common approaches for process control is applying Shewhart's quality control charts. Neuro-Fuzzy networks, as one of the branches of Artificial Intelligence (AI), can play an effective role in the ...
Nezamalldin Faghih, Amir Abbas Masoumi
openaire +1 more source
The Mediator's Mind: Navigating Party Psychology and Behavioural Dynamics in Dispute Resolution
Systems Research and Behavioral Science, EarlyView.ABSTRACT Mediation increasingly requires psychological competence, as mediators regulate emotion, cognition and interaction within conflict systems. This study examines how mediators' psychological awareness and behavioural reflexivity shape conflict trajectories, advancing the concept of a behavioural architecture that transforms emotional volatility ...
Ali Almarri
wiley +1 more source
Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors
Majlesi Journal of Electrical EngineeringThe purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj