Recursive Quantization-based Event Triggered Observer for Networked Systems Under Network Congestion and Packet Loss

Focusing on the network congestion and packet loss in the networked systems, a recursive quantization-based event triggered observer (RQETO) is proposed in this paper. The RQETO is composed of the local observer and the remote observer. The local observer reduces the amount of transmitted measured output by incorporating the event triggered strategy with the improved quantization mechanism. The improved quantization mechanism is based on the recursive algorithm, which can constrain the quantization error within the maximum allowable quantization error. The remote observer compensates the impact of packet loss by Bernoulli distribution model and hold-input strategy after receiving the data transmitted by the local observer. Through the local observer and the remote observer, network congestion is adequately alleviated, and the impact of packet loss is compensated while obtaining the accurate state estimation. The stability of the RQETO is proved by Lyapunov method, and the effectiveness of the RQETO is demonstrated on brushless direct current motor and Net-Con PC104 experimental platform.