OTHER
Two-degree-of-freedom robot neurocontroller
A. Guez, Itzhak Barkana
- 发表年份
- 1990
- 引用次数
- 17
摘要
The performance of a two-degree-of-freedom robot neurocontroller is described. The main theorem suggests that global asymptotic stability is guaranteed despite the highly nonlinear nature of the closed-loop dynamics. Examples demonstrating the applicability of the neurocontroller are provided. It is concluded that a two-degree-of-freedom robot neurocontroller provides opportunities for noise filtering and disturbance rejection not available with a constant-gain servo neurocontroller.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
关键词
Control theory (sociology)RobotComputer scienceNoise (video)Degree (music)Exponential stabilityStability (learning theory)Nonlinear systemArtificial neural networkArtificial intelligence
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