Adaptive robust tracking rbf neural networks control for industrial robot minipulators based on backstepping
Số trang: 7
Loại file: pdf
Dung lượng: 854.82 KB
Lượt xem: 29
Lượt tải: 0
Xem trước 1 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
This present study proposes a design and the analysis of the novel adaptive robust neural networks (ARNNs) based on the backstepping control method for industrial robot manipulators (IRMs). In this research, the ARNNs controller has combined the advantages of Radial Basis Function neural network (RBFNN), the robust term, and adaptive backstepping control technique without the requirement of prior knowledge.
Nội dung trích xuất từ tài liệu:
Adaptive robust tracking rbf neural networks control for industrial robot minipulators based on backstepping
Nội dung trích xuất từ tài liệu:
Adaptive robust tracking rbf neural networks control for industrial robot minipulators based on backstepping
Tìm kiếm theo từ khóa liên quan:
Adaptive control Sliding mode control Neural networks Adaptive fuzzy logic control Industrial robotGợi ý tài liệu liên quan:
-
VLSP 2021 - SV challenge: Vietnamese speaker verification in noisy environments
8 trang 36 1 0 -
Ebook Introduction to machine learning
209 trang 32 0 0 -
Ebook Management support systems: Part 2 - Dr. Kamlesh Lakhwani
136 trang 30 0 0 -
Adaptive fast nonsingular terminal sliding mode control for manipulator robot
10 trang 29 0 0 -
8 trang 29 0 0
-
Lecture Introduction to computing - Lesson 34: Intelligent systems
50 trang 28 0 0 -
251 trang 25 0 0
-
Ebook Neural networks - A comprehensive foundation (2/E)
823 trang 24 0 0 -
Directly adaptive control for robotic manipulators with time varying uncertainties
7 trang 24 0 0 -
Synthesis of adaptive sliding mode control systems for continuous mixing technologies
9 trang 23 0 0