Abstract
In this paper, a cross-layer design for communication and control layers for wireless feedback control systems is considered, and an optimized receiver design for state feedback is proposed. The proposed receiver is designed on the basis of a maximum a posteriori probability decision and utilizes the control layer’s information, namely, the estimated state information of a Kalman filter-based state observer, as the a priori information of the transmitted state feedback. In addition, the proposed receiver provides the error covariance information of the received state feedback for the control layer. The recursive structure of the receiver and state observer is simple and suitable for the feedback control loop. The improvement in the channel error probability is supported by the control accuracy and vice versa. Numerical results show that the proposed receiver can effectively reduce the number of channel errors in the received state feedback and improve the control performance.
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