Intelligent control system based on wavelet type-2 fuzzy neural network design for robot system
Số trang: 11
Loại file: pdf
Dung lượng: 1.23 MB
Lượt xem: 7
Lượt tải: 0
Xem trước 2 trang đầu tiên của tài liệu này:
Thông tin tài liệu:
In this paper, we propose a wavelet type-2 fuzzy brain imitated controller (WT2FBIC) for nonlinear robotic systems. The suggested method combines a wavelet type-2 fuzzy system (WT2FS) and a brain imitated controller (BIC) to improve learning efficiency.
Nội dung trích xuất từ tài liệu:
Intelligent control system based on wavelet type-2 fuzzy neural network design for robot system
Nội dung trích xuất từ tài liệu:
Intelligent control system based on wavelet type-2 fuzzy neural network design for robot system
Tìm kiếm theo từ khóa liên quan:
Wavelet function Type-2 fuzzy system Brain imitated controller Two-joint robot manipulator Sliding mode controlGợi ý tài liệu liên quan:
-
7 trang 29 0 0
-
Synthesis of adaptive sliding mode control systems for continuous mixing technologies
9 trang 23 0 0 -
PLC-based adaptive controller for stability tank pressure
7 trang 21 0 0 -
Sliding mode based adaptive control of chaos for permanent magnet synchronous motors
5 trang 16 0 0 -
Adaptive sliding mode control with rbf neural networks for omni directional mobile robot
8 trang 16 0 0 -
PID controller in step motion control for bipedal robot with elastic legs
9 trang 15 0 0 -
Fractional order sliding mode control of overhead cranes
8 trang 15 0 0 -
Backstepping – sliding mode control for dual arm robot
9 trang 11 0 0 -
A sliding mode controller integrated moment of inertia observer of web handling systems
6 trang 10 0 0 -
Comparative analysis of SMC-LMI and LQR controllers for double inverted pendulum
7 trang 9 0 0