Asynchronous measurement and control: a case study on motor synchronization

Heemels, W.P.M.H.; Gorter, R.J.A.; Zijl, A. van; Bosch, P.P.J. van den; Weiland, S.; Hendrix, W.H.A.; Vonder, M.R.

doi:10.1016/s0967-0661(99)00113-6

Cited by 107 publications

(44 citation statements)

References 8 publications

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“…In this paper, to seamlessly integrate the event-driven nature of RED and control theoretic approaches for congestion control (and avoidance), we develop an event-driven feedback controller based on formal control theory [19,3]. The key idea of our approach is to design a feedback-based congestion controller that is invoked upon the arrivals of a specified number of packets rather than being invoked at every fixed sampling period.…”

Section: Event-driven Aqm Based On Formal Control Theorymentioning

confidence: 99%

“…Our approach is also event-driven. Further, it is based on a rigorous mathematical model and formal control theory [19,3] unlike RED. Thus, we can apply well established control theory [19,3] to tune and mathematically analyze and support the stability of our feedback-based congestion control scheme.…”

Section: Event-driven Aqm Based On Formal Control Theorymentioning

confidence: 99%

“…For this transformation and event-driven controller design, we adapt the event-driven control theoretic techniques [19] developed for motor synchronization. The key idea behind [19] is to measure the time between angular movements around a motor's axis to compute the speed and acceleration in an event-driven fashion rather than calculating the speed and acceleration using a fixed (periodic) sampling rate. In this paper, we adapt this approach to measure the time taken for a specified number of packets to arrive at the queue.…”

Section: Event-driven Aqm Based On Formal Control Theorymentioning

confidence: 99%

“…EDC has only two parameters to tune for application dependent performance requirements: (1) the desired queue length set-point and (2) event threshold that specifies the number of packet arrivals that triggers an event. By applying control theoretic techniques [19,3], we aim to tune EDC to support its stability. Also, EDC aims to reduce the consumption of system resources for AQM via systematic event-driven control of the queue length.…”

Section: Problem Formulationmentioning

confidence: 99%

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Active queue management via event-driven feedback control

Suzer¹,

Kang

Başaran

2012

Computer Communications

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Active Queue Management (AQM) is investigated to avoid incipient congestion in gateways to complement congestion control run by the transport layer protocol such as the TCP. Most existing work on AQM can be categorized as (1) ad-hoc event-driven control and (2) time-driven feedback control approaches based on control theory. Ad hoc event-driven approaches for congestion control, such as RED (Random Early Detection), lack a mathematical model. Thus, it is hard to analyze their dynamics and tune the parameters. Time-driven control theoretic approaches based on solid mathematical models have drawbacks too. As they sample the queue length and run AQM algorithm at every fixed time interval, they may not be adaptive enough to an abrupt load surge. Further, they can be executed unnecessarily often under light loads due to the time-driven nature. To seamlessly integrate the advantages of both event-driven and control-theoretic time-driven approaches, we present an event-driven feedback control approach based on formal control theory. As our approach is based on a mathematical model, its performance is more analyzable and predictable than ad hoc event-driven approaches are. Also, it is more reactive to dynamic load changes due to its event-driven nature. Our simulation results show that our event-driven controller effectively maintains the queue length around the specified set-point. It achieves shorter E2E (end-to-end) delays and smaller E2E delay fluctuations than several existing AQM approaches, which are ad-hoc event-driven * Correspondent Author, Tel: +1 607 761 8934, Fax: +1 607 777 4729Email addresses: msuzer@cs.binghamton.edu (Mehmet H. Suzer), kang@cs.binghamton.edu (Kyoung-Don Kang), cbasaran@cs.binghamton.edu (Can Basaran) Preprint submitted to Computer CommunicationsMay 11, 2011and based on time-driven control theory, while achieving almost the same E2E delays and E2E delay fluctuations as the two other advanced control theoretic AQM approaches. Further, our AQM algorithm is invoked much less frequently than the tested baselines.

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Section: Event-driven Aqm Based On Formal Control Theorymentioning

confidence: 99%

Section: Event-driven Aqm Based On Formal Control Theorymentioning

confidence: 99%

Section: Event-driven Aqm Based On Formal Control Theorymentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

Active queue management via event-driven feedback control

Suzer¹,

Kang

Başaran

2012

Computer Communications

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“…8 To mitigate the otiose communication of the sampling data and reduce the transmission-network loads, event-driven control approach is developed. [9][10][11] Compared with conventional schemes of transmitting all the sampled data, the event-driven control technique can eliminate some trivial sampled data, that is, only the sampled data can be transmitted after the sampling implementation when its value satisfies some prescribed 1 event-driven condition. Currently, some event-driven/ self-triggered control strategies have been reported.…”

Section: Introductionmentioning

confidence: 99%

Non-uniform sampling finite-time control for networked control systems via event-driven transmission

Liu

2016

Advances in Mechanical Engineering

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This article investigates the networked finite-time control problem for a class of continuous-time linear systems. A novel event-driven data transmission scheme is invoked to reduce the network loads. Moreover, the non-uniform sampling triggered by sampling jitter or the fault of hold circuits is taken into account. By employing an input-delay approach, the underlying system is first reformulated to linear system with time-varying delays. Based on the Lyapunov-Krasovskii functional method, the stabilizing controller is then designed in the finite-time control sense, such that the closed-loop system is finite-time bounded. Potential and advantage of the developed techniques are demonstrated by a numerical example and an application to damping boring bar system.

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Outer synchronization for a class of discrete‐time complex dynamic networks with unknown bounded interaction

Wang

2022

Adaptive Control & Signal

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This article investigates the outer synchronization for the two discrete-time complex dynamic networks. First, the more universal mathematical models of the networks with unknown coupling and interaction are proposed. Then, based on the available state of networks and the estimation of summarized unknown parameters shown in the models, the adaptive state feedback controller is synthesized to make the outer synchronization error of two networks converge asymptotically to an arbitrarily small neighborhood at the origin. Finally, the results of simulation show the validity and advantages of the controller.

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Asynchronous measurement and control: a case study on motor synchronization

Cited by 107 publications

References 8 publications

Active queue management via event-driven feedback control

Active queue management via event-driven feedback control

Non-uniform sampling finite-time control for networked control systems via event-driven transmission

Outer synchronization for a class of discrete‐time complex dynamic networks with unknown bounded interaction

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