A new neural iterative learning control approach for position tracking control of robotic manipulators: Theory, simulation, and experiment
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This paper presents a new effective iterative learning control method for repetitive motion-tracking control problems of robotic manipulators. The controller is comprised of two control loops. In the inner loop, a simple proportional-derivative signal is adopted to stabilize the closed-loop system that facilitates design of the outer loop.
Nội dung trích xuất từ tài liệu:
A new neural iterative learning control approach for position tracking control of robotic manipulators: Theory, simulation, and experiment
Nội dung trích xuất từ tài liệu:
A new neural iterative learning control approach for position tracking control of robotic manipulators: Theory, simulation, and experiment
Tìm kiếm theo từ khóa liên quan:
Motion control Iterative learning control Neural network Robotic manipulator Simple proportional-derivative signalGợi ý tài liệu liên quan:
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