Publication Date
2012
Journal or Book Title
Sensors
Abstract
Variable structure strategy is widely used for the control of sensor-actuator systems modeled by Euler-Lagrange equations. However, accurate knowledge on the model structure and model parameters are often required for the control design. In this paper, we consider model-free variable structure control of a class of sensor-actuator systems, where only the online input and output of the system are available while the mathematic model of the system is unknown. The problem is formulated from an optimal control perspective and the implicit form of the control law are analytically obtained by using the principle of optimality. The control law and the optimal cost function are explicitly solved iteratively. Simulations demonstrate the effectiveness and the efficiency of the proposed method.
DOI
https://doi.org/10.3390/s120506117
Volume
12
Issue
5
License
UMass Amherst Open Access Policy
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Cheng, Sanfeng; Li, Shuai; Liu, Bo; Lou, Yuesheng; and Liang, Yongsheng, "Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems" (2012). Sensors. 1354.
https://doi.org/10.3390/s120506117