Adaptive Delay Estimation and Control of Networked Control systems

Li, Chunmao; Xiao, Jian

doi:10.1109/iscit.2006.339832

Cited by 14 publications

(17 citation statements)

References 9 publications

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“…All control methods developed in the past compensate for time delays either rely on controller robust to a maximum time delay, off-line estimates of time delays or approximation of time delayed signals [26] [27]. Here, we develop an alternative time delay estimator which is simpler and will help with systems under time delay attack.…”

Section: Methodsmentioning

confidence: 99%

A Novel Technique for Detection of Time Delay Switch Attack on Load Frequency Control

Sargolzaei

Yen

Abdelghani

et al. 2015

ICA

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In this paper, we focus on the estimation of time delays caused by adversaries in the sensing loop (SL). Based on the literature review, time delay switch (TDS) attacks could make any control system, in particular a power control system, unstable. Therefore, future smart grids will have to use advanced methods to provide better situational awareness of power grid states keeping smart grids reliable and safe from TDS attacks. Here, we introduce a simple method for preventing time delay switch attack on networked control systems. The method relies on an estimator that will estimate and track time delays introduced by an adversary. Knowing the maximum tolerable time delay of the plant's optimal controller for which the plant remains stable, a time-delay detector issues an alarm signal when the estimated time delay is larger than the minimum one and directs the system to alarm state. In an alarm state, the plant operates under the control of an emergency controller that is local to the plant and remains in this mode until the networked control system state is restored. This method is an inexpensive and simple way to guarantee that an industrial control system remains stable and secure.

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Section: Methodsmentioning

confidence: 99%

A Novel Technique for Detection of Time Delay Switch Attack on Load Frequency Control

Sargolzaei

Yen

Abdelghani

et al. 2015

ICA

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“…Despite the fact that the time-delay is varying in slow or fast manner, the algorithm in [10] updates an adaptive delay estimate using gradient descent method, and the Neural network and the Neuro-fuzzy based time-delay estimation using discrete cosine transform coefficients were proposed in [11,12]. In this paper, aiming at mitigating the effect of RVTD, we carefully take into account the two following case studies.…”

Section: Introductionmentioning

confidence: 99%

Joint Smith predictor and neural network estimation scheme for compensating randomly varying time-delay in networked control system

Dang

Guan

et al. 2012

2012 24th Chinese Control and Decision Conference (CCDC)

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In this paper, we dealt with the problems of network induced delay and randomly varying time-delay (RVTD) controlled plant in networked control systems (NCS). These inherent challenges make the conventional control methods, e.g, a mathematical model of Smith predictor combined with fuzzy adaptive controller, more difficult to meet the quality requirements for NCS stability. Specifically, based on analyzing the existing techniques, we propose a novel method to efficiently compensate the RVTD for NCS. This so-called RVTD compensator for the Smith predictor using Neural network estimation scheme has not only the features of simple Smith predict structure, but also the characteristics of adaptivity, stability, and fast response. The simulation results via TrueTime Beta2.0 platform demonstrate that our design significantly improves the performance of NCS.

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“…However, most of these studies considered either the construction of controllers that are robust to time delays or controllers that use offline estimates of time delays. Furthermore, few studies [15,109] considered the control of systems with time delays introduced by hackers.,It is assumed that there are no control methods that perform an online estimation of dynamic time delays and real-time control of power systems.…”

Section: Nonlinear Heart Model Under Tds Attackmentioning

confidence: 99%

“…Too much effort has been put into the study of time-delay systems [15,109,110]. For example, Tan [15] proposed a neural network time-delay estimator for a class of nonlinear systems with time-varying delays, which must be trained off-line and must work well for periodic reference signals.…”

Section: Introductionmentioning

confidence: 99%

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Time-Delay Switch Attack on Networked Control Systems, Effects and Countermeasures

Sargolzaei¹

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Adaptive Delay Estimation and Control of Networked Control systems

Cited by 14 publications

References 9 publications

A Novel Technique for Detection of Time Delay Switch Attack on Load Frequency Control

A Novel Technique for Detection of Time Delay Switch Attack on Load Frequency Control

Joint Smith predictor and neural network estimation scheme for compensating randomly varying time-delay in networked control system

Time-Delay Switch Attack on Networked Control Systems, Effects and Countermeasures

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