A Provably Constrained Neural Control Architecture With Prescribed Performance for Fault-Tolerant Redundant Manipulators
Author:
Affiliation:
1. Department of Mechanical Engineering, Indian Institute of Science, Bengaluru, Karnataka, India
Funder
Institute of Eminence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09888126.pdf?arnumber=9888126
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1. Convex Optimization
2. Different-Level Simultaneous Minimization of Joint-Velocity and Joint-Torque for Redundant Robot Manipulators
3. A Varied Weights Method for the Kinematic Control of Redundant Manipulators With Multiple Constraints
4. Simulation and Experimental Verification of Weighted Velocity and Acceleration Minimization for Robotic Redundancy Resolution
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Real-Time Constrained Tracking Control of Redundant Manipulators Using a Koopman-Zeroing Neural Network Framework;IEEE Robotics and Automation Letters;2024-02
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