Findings from Southeast University Provides New Data on Robotics (Event-triggere d-based Sliding Mode Asymptotic Tracking Control of Robotic Manipulators)
Findings from Southeast University Provides New Data on Robotics (Event-triggere d-based Sliding Mode Asymptotic Tracking Control of Robotic Manipulators)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting out of Jiangsu, People’s Republic o f China, by NewsRx editors, research stated, “This brief studies the trajectory tracking problem for robotic manipulators with disturbances. A novel terminal sl iding mode surface is developed to accelerate the convergence process.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Southeast Universit y, “For reducing the burden of information transmission, the event-triggered str ategy is introduced into the sliding mode control (SMC). A novel event-triggered condition with a time-varying threshold is proposed to reduce the times of cont rol execution and the chattering. An event-triggered based practical sliding mod e controller is constructed to render the system states reach the practical slid ing mode surface in a finite time. With the help of Lyapunov stability theory, t he tracking error converges to zero asymptotically.”
Key words
Jiangsu/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robotics/Robots/Southeast Universi ty
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