Robotics & Machine Learning Daily News2024,Issue(Jul.17) :64-64.

Shantou University Reports Findings in Robotics (Sliding mode observer-based mod el predictive tracking control for Mecanumwheeled mobile robot)

Robotics & Machine Learning Daily News2024,Issue(Jul.17) :64-64.

Shantou University Reports Findings in Robotics (Sliding mode observer-based mod el predictive tracking control for Mecanumwheeled mobile robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Guangdong, People’s Republic of China, by NewsRx correspondents, research stated, “Thispaper propos es a novel adaptive variable power sliding mode observer-based model predictive control(AVPSMO-MPC) method for the trajectory tracking of a Mecanum-wheeled mob ile robot (MWMR) withexternal disturbances and model uncertainties. First, in t he absence of disturbances and uncertainties,a model predictive controller that considers various physical constraints is designed based on the nominaldynamic s model of the MWMR, which can transform the tracking problem into a constrained quadraticprogramming (QP) problem to solve the optimal control inputs online.”

Key words

Guangdong/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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