A note on the effect of asynchronous sampling on estimation accuracy

Sridharan, G.; Srisailam, M.C.; Rao, V.Subba

doi:10.1016/0005-1098(85)90086-x

Cited by 10 publications

(2 citation statements)

References 2 publications

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“…Literature Review: Asynchronous sampling has been brought to the attention of researchers in the control community for more than three decades [7]. It has obtained enormous results, and is now developing rapidly with the growth of multi-agent theory as one of the main research areas.…”

Section: Introductionmentioning

confidence: 99%

Robustness Analysis of Asynchronous Sampled-Data Multiagent Networks With Time-Varying Delays

Xiao

Shi

Ren

2018

IEEE Trans. Automat. Contr.

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In this paper, we study the simultaneous stability problem of a finite number of locally inter-connected linear subsystems under practical constraints, including asynchronous and aperiodic sampling, time-varying delays, and measurement errors. We establish a new Lyapunov-based stability result for such a decentralized system. This system has a particular simple structure of interconnections, but it captures some key characteristics of a large class of intermediate models derived from the consensus analysis of multi-agent systems. The stability result is applicable to the estimation of the maximum allowable inter-sampling periods and time delays based on individual dynamics and coupling structures in the scenarios of consensus control via asynchronous sampling of relative states and asynchronous broadcasting of self-sampled states respectively. The asynchrony of aperiodic sampling and the existence of measurement errors allow the utilization of some kinds of quantizing devices, such as Logarithmic quantizers, in the process of data sampling, and allow the introduction of a period of dwell time after each update of state measurement to eliminate the Zeno behavior of events in event-based control. The extension in the case with input saturations and input delays is also discussed.

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Section: Introductionmentioning

confidence: 99%

Robustness Analysis of Asynchronous Sampled-Data Multiagent Networks With Time-Varying Delays

Xiao

Shi

Ren

2018

IEEE Trans. Automat. Contr.

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“…Most identification and design methods for discrete time data assume that the inputs and outputs are sampled at the same time instants. In practice, there is always a delay because of the conversion times in the analog-to-digital converters [6], [ 101, [ 11]. If we design a sampled-data system without considering the nonsynchronous sampling and computation delay, which can be regarded as the input time delay, a discrepancy between the actual state and the ideal one may exist.…”

Section: Introductionmentioning

confidence: 99%

Digitally redesigned PAM controller and ideal state reconstructor for input time-delay/nondelay systems with nonsynchronous sampling

Tsai

Shieh

1997

Circuits Systems and Signal Process

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Abstract. This paper develops a new digitally redesigned pulse-amplitude modulated (PAM) controller for a continuous-time input time-delay/nondelay system with nonsynchronous sampling. The concept of the law of the mean from the input integral calculus is utilized for the development of the equivalent digital predictor controllers from the available analog predictor controllers. As a result, the digitally controlled states closely match the original continuous-time states. To implement the developed discrete-time state-feedback PAM controller, this paper also develops an ideal discrete-time state using nonsynchronously sampled input-output data of the continuous-time input delay/nondelay system without establishing a dynamic observer.

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Observer-based digital control of sampled-data systems with input/output time delays

Sheen

2000

Circuits Systems and Signal Process

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A note on the effect of asynchronous sampling on estimation accuracy

Cited by 10 publications

References 2 publications

Robustness Analysis of Asynchronous Sampled-Data Multiagent Networks With Time-Varying Delays

Robustness Analysis of Asynchronous Sampled-Data Multiagent Networks With Time-Varying Delays

Digitally redesigned PAM controller and ideal state reconstructor for input time-delay/nondelay systems with nonsynchronous sampling

Observer-based digital control of sampled-data systems with input/output time delays

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