首页|Reports from Changchun University of Technology Add New Data to Findings in Robotics (Value Iteration-based Adaptive Fuzzy Backstepping Optimal Control of Modular Robot Manipulators Via Integral Reinforcement Learning)
Reports from Changchun University of Technology Add New Data to Findings in Robotics (Value Iteration-based Adaptive Fuzzy Backstepping Optimal Control of Modular Robot Manipulators Via Integral Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting out of Changchun, People's Re public of China, by NewsRx editors, research stated, 'An adaptive fuzzy backstep ping optimal control method is developed for modular robot manipulators (MRMs) via value iteration (VI). This paper adopts joint torque feedback (JTF) technique to construct subsystem dynamics model, and the state space description is deduc ed.'
ChangchunPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement LearningRobotRob oticsChangchun University of Technology
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