首页|Findings from Tiangong University Provide New Insights into Robotics (Trajectory Tracking Control of Car-like Mobile Robots Based on Extended State Observer and Backstepping Control)

Findings from Tiangong University Provide New Insights into Robotics (Trajectory Tracking Control of Car-like Mobile Robots Based on Extended State Observer and Backstepping Control)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “In this paper, a trajectory tracking co ntrol strategy for low-speed car-like mobile robots (CLMRs) based on an extended state observer (ESO) and backstepping control is proposed to address the issue of trajectory tracking accuracy degradation caused by modeling errors and extern al disturbances.” Financial supporters for this research include National Natural Science Foundati on of China; Tianjin Natural Science Foundation.

Tiangong UniversityTianjinPeople’s R epublic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRob otics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.8)