A New Delay-Compensation Scheme for Networked Control Systems in Controller Area Networks

Zhang, Hui; Shi, Yang; Wang, Junmin; Chen, Hong

doi:10.1109/tie.2018.2795574

Cited by 126 publications

(42 citation statements)

References 39 publications

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“…Consensus of multiagent systems (MASs) has received increasing attention due to its extensive applications in smart factories, smart grids, smart cities, and so on, see References for more details. In such a large‐scale system, each agent communicates and cooperates with its neighbors, and they can accomplish a large number of complex tasks that a single agent cannot accomplish.…”

Section: Introductionmentioning

confidence: 99%

A Markovian jump system approach to consensus of heterogeneous multiagent systems with partially unknown and uncertain attack strategies

Karimi

et al. 2020

Intl J Robust & Nonlinear

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The problem of robust leader-following consensus of heterogeneous multiagent systems subject to deny-of-service attacks is investigated, where attack strategies are partially unknown and uncertain to defender. A Markovian jump system approach is proposed, that is, capable of describing the occurrence of different attack strategies, and the occurring probability of each attack strategy is represented by the transition probability of the Markovian jump model. Then, sufficient conditions are derived such that the output tracking performance can be guaranteed. In order to design the controller gains, some slack matrices are introduced, which can provide some design freedom. Finally, it is shown that the controller design results can be applied to the multivehicle position-tracking system. The simulation results reveal that the consensus performance is much better if one has more statistics information on attacks. K E Y W O R D SMarkovian jump systems, multiagent systems, H ∞ control, consensus, DoS attack INTRODUCTIONConsensus of multiagent systems (MASs) has received increasing attention due to its extensive applications in smart factories, smart grids, smart cities, and so on, see References 1-8 for more details. In such a large-scale system, each agent communicates and cooperates with its neighbors, and they can accomplish a large number of complex tasks that a single agent cannot accomplish. In literature, there are two different kinds of consensus problems, one is leader-less consensus and the other is leader-following one. In the former one, there does not exist leader, while in the latter case, all the following agents shall track the states and outputs of the leader. Taking the Reference 9 as an example, the leader-less consensus problem was studied and the main focus is to devise a state feedback control law, under which all the agent's states can achieve to the average value. The leader-following consensus problem was investigated in Reference 10, where some energy-efficient communication strategies were introduced such that the following agent can track the state of the leader in an energy-efficient way. In Reference 11, a unified framework was proposed for the synchronization of complex networks and the consensus of MASs. More recent works on consensus of MASs have been reported, see, for example, References 12-19 for more details. Int J Robust Nonlinear Control. 2020;30:3039-3053. wileyonlinelibrary.com/journal/rnc

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Section: Introductionmentioning

confidence: 99%

A Markovian jump system approach to consensus of heterogeneous multiagent systems with partially unknown and uncertain attack strategies

Karimi

et al. 2020

Intl J Robust & Nonlinear

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“…Thus, WSNs have attracted the great attention of military, industry and academic institutions in various countries. 1,2 Typically, the battery energy of sensor nodes is limited and hard to replenish in most applications (e.g. deployed behind enemy lines or in harsh environments).…”

Section: Introductionmentioning

confidence: 99%

Event-triggered communication scheme for stochastic systems in wireless sensor networks

Sun

Gao

Liu

2020

Journal of Algorithms & Computational Technology

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With the development of sensors and network technology, wireless sensor networks are widely used in various scenes. However, in most applications, the energy of the sensor nodes cannot be supplemented. In addition, since the lifetime of the electronic switching element is measured by the number of trigger times, which makes the effective use of energy, extending the working life of the network becomes one of the key factors to be considered. This paper discusses an event-triggered control scheme for stochastic systems. The mechanism determines when the controller sends control data in order to balance system performance and drive frequency. In this paper, the control scheme is deduced by a class of quadratic performance index function. Then, the formula of performance index is designed based on state feedback and output feedback, and the upper bound of performance index is deduced and the conditions in the theorem can be constructed by solving a set of linear matrix inequalities, which can be easily tested with linear matrix inequality algorithms. Finally, a numerical example is given to illustrate the results.

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“…Existing position servo control methods rarely consider the impact of the network-induced delays. In the field of networked control systems, there are many network-induced delay compensation methods [21][22][23][24][25][26], such as the adaptive Smith predictors, switching system methods, and so on, but most of the algorithms are complex and difficult to apply in practice. Recently, a novel method termed the communication disturbance observer (CDOB) was presented in [27].…”

Section: Introductionmentioning

confidence: 99%

A LADRC based fuzzy PID approach to contour error control of networked motion control system with time‐varying delays

Wang

Zhang

Dong

2019

Asian Journal of Control

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This paper investigate the contour error control problem for networked multi‐axis motion system (NMAMS) with time‐varying delays. Firstly, the uncertainties induced by the delays are modeled as a part of the total disturbance, and a linear active disturbance rejection controller (LADRC) is designed for the uniaxial trajectory tracking control. In the LADRC, a linear extended state observer (LESO) is designed to estimate the system state and the total disturbance simultaneously, and the effect of the total disturbance is eliminated by the designed linear feedback error control law. Then, the classical contour error estimation method is adopted, and a fuzzy PID controller is designed to compensate the contour error to achieve a better contour tracking performance. Finally, experiments are provided to verify the effectiveness of the proposed method.

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A New Delay-Compensation Scheme for Networked Control Systems in Controller Area Networks

Cited by 126 publications

References 39 publications

A Markovian jump system approach to consensus of heterogeneous multiagent systems with partially unknown and uncertain attack strategies

A Markovian jump system approach to consensus of heterogeneous multiagent systems with partially unknown and uncertain attack strategies

Event-triggered communication scheme for stochastic systems in wireless sensor networks

A LADRC based fuzzy PID approach to contour error control of networked motion control system with time‐varying delays

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