2012 24th Chinese Control and Decision Conference (CCDC) 2012
DOI: 10.1109/ccdc.2012.6244465
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Observer design for discrete-time systems subject to long time-delay

Abstract: This paper addresses the problem of designing a classical observer extended to dynamical discrete-time systems with constant delays. The idea of two forms of state observers is presented to compensate fixed time-delay. Convergence conditions have been found to ensure the stability of the error dynamics and the related gains may be selected based on a set of linear matrix inequality (LMI). The results show that the compensation-based state observer is much superior in dealing with time-delay in the case that th… Show more

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Cited by 5 publications
(3 citation statements)
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References 18 publications
(16 reference statements)
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“…The corresponding delay compensation algorithm was based on a deterministic state estimator. In , similar delay maximizing strategies were presented to deal with sensor‐to‐estimator measurement feedback signals with a buffer or ‘waiting’ scheme. As its name implies, assuming that there is a maximal value of time delay, this maximal‐delayed data packet is guaranteed to arrive at the estimator.…”
Section: Introductionmentioning
confidence: 99%
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“…The corresponding delay compensation algorithm was based on a deterministic state estimator. In , similar delay maximizing strategies were presented to deal with sensor‐to‐estimator measurement feedback signals with a buffer or ‘waiting’ scheme. As its name implies, assuming that there is a maximal value of time delay, this maximal‐delayed data packet is guaranteed to arrive at the estimator.…”
Section: Introductionmentioning
confidence: 99%
“…Research work on network‐faced state estimation has gone through several phases: first of all, a deterministic model , secondly, stochastic measurement feedback or network modeling , and today, robust design to conquer network‐induced issues . With the change of different network environments and new required performance demands, these techniques corresponding to the previously mentioned phases have been developed up to now.…”
Section: Introductionmentioning
confidence: 99%
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