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Sensors 2012, 12(5), 6117-6128; doi:10.3390/s120506117
Article

Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems

1,†
, 2,†
, 3,* , 4
 and 1
Received: 4 April 2012; in revised form: 16 April 2012 / Accepted: 29 April 2012 / Published: 10 May 2012
(This article belongs to the Section Physical Sensors)
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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 sensor-actuator system; principle of optimality; Bellman equation; variable structure control; self-learning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.

AMA 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(5):6117-6128.

Chicago/Turabian Style

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.



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