Precise identification of moving vehicular parameters based on improved glowworm swarm optimization algorithm

DOI10.1080/17415977.2016.1191074zbMath1369.93421OpenAlexW2471945737MaRDI QIDQ5348702

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Publication date: 18 August 2017

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2016.1191074

zbMATH Keywords

dynamic responseparameter identificationbridge-vehicle systemmoving vehicleglowworm swarm optimization algorithm

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Kinematics of mechanisms and robots (70B15)

Cites Work

• Glowworm swarm based optimization algorithm for multimodal functions with collective robotics applications
• Observer-Based Identification of Nonlinear System Parameters
• A hybrid glowworm swarm optimization algorithm to solve constrained multimodal functions optimization
• VIBRATION OF MULTI-SPAN NON-UNIFORM BEAMS UNDER MOVING LOADS BY USING MODIFIED BEAM VIBRATION FUNCTIONS

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