Designing an adaptive controller for two wheeled self balancing mobile robot using hierarchical sliding control strategy and radial basis function neural network
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Thông tin tài liệu:
This paper presents a novel adaptive controller for two-wheeled selfbalancing mobile robots combining sliding mode control and hierarchical sliding control techniques. In addition, the radial basis function neural networks (RBFNN) are also applied to approximate the uncertain components in the system.
Nội dung trích xuất từ tài liệu:
Designing an adaptive controller for two wheeled self balancing mobile robot using hierarchical sliding control strategy and radial basis function neural network
Nội dung trích xuất từ tài liệu:
Designing an adaptive controller for two wheeled self balancing mobile robot using hierarchical sliding control strategy and radial basis function neural network
Tìm kiếm theo từ khóa liên quan:
Two-wheeled self-balancing mobile robot Sliding mode control Hierarchical sliding control Radial basis function neural network Underactuated systemGợi ý tài liệu liên quan:
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