专题:Model Reference Adaptive Control in Engineering Systems

This cluster of papers focuses on the application of model reference adaptive control in engineering systems, particularly in the context of small turbojet engines. It explores techniques such as robust fixed point transformations, fuzzy models, intelligent situational control, and genetic algorithms for adaptive control. The cluster also delves into topics related to deep learning, output prediction, and the use of unmanned aerial vehicles for aircraft maintenance.
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近5年高被引文献
The More-Electric Aircraft and Beyond

article Full Text OpenAlex 225 FWCI17.9647

Aircraft Distributed Electric Propulsion Technologies—A Review

review Full Text OpenAlex 214 FWCI4.1835

Data-driven deep learning approach for thrust prediction of solid rocket motors

article Full Text OpenAlex 106 FWCI12.9016

Recent research progress on airbreathing aero-engine control algorithm

article Full Text OpenAlex 85 FWCI6.6145

Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems

article Full Text OpenAlex 76 FWCI15.7296

Diagnostics using a physics-based engine model in aero gas turbine engine verification tests

article Full Text OpenAlex 72 FWCI7.6955

Condition-Based Maintenance scheduling of an aircraft fleet under partial observability: A Deep Reinforcement Learning approach

article Full Text OpenAlex 69 FWCI11.8431

Digital twins for aircraft maintenance and operation: A systematic literature review and an IoT-enabled modular architecture

review Full Text OpenAlex 63 FWCI2.0765

Ecosystem of Aviation Maintenance: Transition from Aircraft Health Monitoring to Health Management Based on IoT and AI Synergy

article Full Text OpenAlex 62 FWCI9.7897

Deep Learning and Machine Learning Algorithms for Enhanced Aircraft Maintenance and Flight Data Analysis

article Full Text OpenAlex 62 FWCI6.742