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In this paper, we consider an optimal estimation problem in the sense of least mean square error for linear discrete-time systems with multiple state delays in the measurement output. Since computation complexity is high for augmentation approach, a lot of researches have been dedicated to finding alternative ways for the optimal estimation design. In existing studies, two dimensional Riccati iteration...
This paper studies the distributed consensus problem for linear discrete-time multi-agent systems with delays and noises in transmission channels. Due to the presence of noises and delays, existing techniques such as the lifting technique and the stochastic Lyapunov theory are no longer applicable to the analysis of consensus. In this paper, a novel technique is introduced to overcome the difficulties...
This paper considers the average consensus problem for multi-agent networks with communication delays and limited data rate. The average consensus problem becomes much complicated when both delays and quantization are to be considered. In this paper, a distributed consensus protocol is proposed based on dynamic encoding and decoding. It is shown that for a connected network, as long as the time delays...
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