Optimal control over multiple erasure channels using a data dropout compensation scheme

Maass, Alejandro I.; Vargas, Francisco J.; Silva, Eduardo I.

doi:10.1016/j.automatica.2016.01.061

Cited by 35 publications

(14 citation statements)

References 17 publications

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“…In , an H ∞ control problem has been addressed for NCSs with stochastic time delays subjected to Markovian distributions. On the other hand, the NCSs with packet dropout have been exploited In Maass, Vargas, and Silva (2016), Lin, Su, Shi, Lu, and Wu (2015), Yin, Yue, Hu, Peng, and Xue (2016), Schenato, Sinopoli, Franceschetti, Poolla, and Sastry (2007, Guo and Jin (2010), and Guo et al (2012). For instance, In Schenato et al (2007), an optimal Linear Quadratic (LQ) gaussian control problem has been addressed with signal estimation subjected to packet dropout.…”

Section: Application Of Resilient Control To Power Systemmentioning

confidence: 99%

A survey on the recent development of securing the networked control systems

Wang

Yang

2019

Systems Science & Control Engineering

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Recent years witness an ever-increasing research interest in the study of securing the Networked Control Systems due mainly to the trend of integrating the advanced communication technical into the traditional control system. As a result, the control system becomes prone to the cyber attacks and a number of serious security incidents of the industrial control system are reported. Firstly, we recall the most recent occurred security incident of control system, and various types of controlsystem-oriented cyber attacks are introduced. Then, a wealth of resilient control methodologies are presented which aim to securing the control system. Finally, the applications of the resilient control method to the power system is introduced.

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Section: Application Of Resilient Control To Power Systemmentioning

confidence: 99%

A survey on the recent development of securing the networked control systems

Wang

Yang

2019

Systems Science & Control Engineering

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“…Multiple channels with different probabilities of successful reception per channel have been considered in e.g. [6]- [9] also for linear systems. General nonlinear WNCSs subject to stochastic packet dropouts are studied in [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Stochastic stabilisation and power control for nonlinear feedback loops communicating over lossy wireless networks

Maass

Nešić

Varma

et al. 2020

2020 59th IEEE Conference on Decision and Control (CDC)

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We study emulation-based stabilisation of nonlinear networked control systems communicating over multiple wireless channels subject to packet loss. Specifically, we establish sufficient conditions on the rate of transmission that guarantee Lp stability-in-expectation of the overall closed-loop system. These conditions depend on the cumulative dropout probability of the network nodes for static protocols. We use the obtained stability results to study power control, where we show there are interesting trade-offs between the transmission rate, transmit power, and stability. Lastly, numerical examples are presented to illustrate our results.

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“…Their solution is obtained by substituting the Kalman predictor of the LQG control law with an optimal predictor. Another interesting strategy proposed by Maass et al [27] is to construct an output estimator for lost one; as such, the method belongs to the dynamic class of compensators. The fading channels in Su and Chesi [28] were modeled as multiplicative white noise processes.…”

Section: Introductionmentioning

confidence: 99%

A New Compensator Design for Optimal Static Output Feedback Control Across a Communication Channel Subject to Random Packet Dropouts

2020

IEEE Access

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This paper studies compensation of networked control across an unreliable communication channel subject to random packet dropouts. By posing it as a two decision-variable optimization problem, the control and compensation for static output feedback LQR are unified by the proposed design. New governing equations are derived for the controller and the compensator satisfying optimality conditions concurrently. Also presented is a convergent algorithm that solves these equations for the optimal gains. Finally, to validate the design and verify its effectiveness, a numerical example is given on which a computer simulation is conducted to compare its performance against that of three other existing schemes. The simulation results demonstrate its saliency among the four methods.

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Optimal control over multiple erasure channels using a data dropout compensation scheme

Cited by 35 publications

References 17 publications

A survey on the recent development of securing the networked control systems

A survey on the recent development of securing the networked control systems

Stochastic stabilisation and power control for nonlinear feedback loops communicating over lossy wireless networks

A New Compensator Design for Optimal Static Output Feedback Control Across a Communication Channel Subject to Random Packet Dropouts

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