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- Title
LEARNING ALGORITHM IN TRAJECTORY TRACKING CONTROL BY ANFIS AND NEURON NETWORK FOR ROTARY INVERTED PENDULUM.
- Authors
Thi-Thanh-Hoang Le; Gia-Bao Hong; Minh-Tam Nguyen; Van-Khanh Doan; Thien-Van Nguyen; Le-Long-Thien Ho
- Abstract
Matlab is a useful tool in many fields of science and technology, especially control theory. In this paper, toolkits of Matlab (Anfis and Neuron Network Training tool) are used to learn the operation of Incremental Sliding Mode Control algorithm in trajectory tracking control for Rotary Inverted Pendulum. The data learning is collected from experiment and verified through real-time control. The results in this paper show the ability of these two toolkits on learning control process. Thence, this method can be extended to apply on other control objects.
- Subjects
SLIDING mode control; TRACKING algorithms; MACHINE learning; ITERATIVE learning control; PENDULUMS; CONTROL theory (Engineering)
- Publication
Robotica & Management, 2019, Vol 24, Issue 2, p11
- ISSN
1453-2069
- Publication type
Article