Quantized output feedback stabilization over SNR channel
This paper considers the problem of output feedback stabilization for single-input-single-output (SISO) discrete-time systems over a communication channel, where logarithmic quantization error and white noise are included. The log-arithmic quantizer is characterized by a received signal-to-error ratio (R-SER) model and the white noise is modelled by additive white Gaussian noise (AWGN) channel where a signal-to-noise ratio (SNR) constraint is imposed. An observer-based controller is aimed to stabilize the system in the presence of quantized error and to satisfy some pre-specified power constraint, simultaneously. A solvability condition is derived by solving some algebraic Riccati equations (AREs) and an inequality involving the Mahler measure of the plant.
Publication Source (Journal or Book title)
Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Feng, Y., Chen, X., & Gu, G. (2015). Quantized output feedback stabilization over SNR channel. Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 2015-March (March), 186-191. https://doi.org/10.1109/WCICA.2014.7052710