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Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems
Key Lab of Visual Media Processing and Transmission, Shenzhen Institute of Information Technology, Shenzhen 518029, Guangdong, China
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
Department of Computer Science, University of Massachusetts, Amherst, MA 01003, USA
School of Mechatronics and Information, Yiwu Industrial and Commercial College, Yiwu 322000, Zhejiang, China
These authors contributed equally to this work.
* Author to whom correspondence should be addressed.
Received: 4 April 2012; in revised form: 16 April 2012 / Accepted: 29 April 2012 / Published: 10 May 2012
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.
Keywords: sensor-actuator system; principle of optimality; Bellman equation; variable structure control; self-learning
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MDPI and ACS Style
Chen, S.; Li, S.; Liu, B.; Lou, Y.; Liang, Y. Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems. Sensors 2012, 12, 6117-6128.
Chen S, Li S, Liu B, Lou Y, Liang Y. Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems. Sensors. 2012; 12(5):6117-6128.
Chen, Sanfeng; Li, Shuai; Liu, Bo; Lou, Yuesheng; Liang, Yongsheng. 2012. "Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems." Sensors 12, no. 5: 6117-6128.