Networked Control Systems: Estimation and Control Over Lossy Networks

Hespanha, João P.; Mesquita, Alexandre R.

doi:10.1007/978-1-4471-5058-9_152

Cited by 4 publications

(3 citation statements)

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“…where P t 0, N t 0 and L t are matrices with appropriate dimensions and A, B, R, Q and Q T are system parameters as given in (1)- (2). Recall that the optimal LQG cost for an LTI system (1)-( 2) operating over a perfect channel (i.e., without delay or packet loss) is T t=0 tr(P t W t−1 ), where P t follows the control Riccati equation (7), and the matrices W −1 and W t are the covariances of the initial state X 0 and the noise W t , respectively.…”

Section: B Optimal Control Performance With Imperfect Channelmentioning

confidence: 99%

“…Transmission delay and packet dropout are two major network-induced phenomena that affect the control performance and may even lead to instability of networked control systems (NCSs) [1]. For about two decades, a significant attention has been given to analyze the effects of networkinduced phenomena on stability and quality-of-control (QoC) characteristics of closed-loop network sharing systems [2]. However, most of those works either study asymptotic behavior of closed-loop systems under specific delay and packet loss scenarios, or consider stationary/independent delay and packet loss processes [3].…”

Section: Introductionmentioning

confidence: 99%

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Optimal LQG Control of Networked Systems Under Traffic-Correlated Delay and Dropout

Maity

Mamduhi

Hirche

et al. 2022

IEEE Control Syst. Lett.

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Transmission delay and packet dropout are inevitable network-induced phenomena that severely compromise the control performance of network control systems. The realtime network traffic is a major dynamic parameter that directly influences delay and reliability of transmission channels, and thus, acts as an unavoidable source of induced coupling among all network sharing systems. In this letter, we analyze the effects of traffic-induced delay and dropout on the finitehorizon quality-of-control of an individual stochastic linear time-invariant system, where quality-of-control is measured by an expected quadratic cost function. We model delay and dropout of the channel as generic stochastic processes that are correlated with the real-time network traffic induced by the rest of network users. This approach provides a pathway to determine the required networking capabilities to achieve a guaranteed quality-of-control for systems operating over a shared-traffic network. Numerical evaluations are performed using realistic stochastic models for delay and dropout. As a special case, we consider exponential distribution for delay with its rate parameter being traffic-correlated, and trafficcorrelated Markov-based packet drop model.

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Section: B Optimal Control Performance With Imperfect Channelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal LQG Control of Networked Systems Under Traffic-Correlated Delay and Dropout

Maity

Mamduhi

Hirche

et al. 2022

IEEE Control Syst. Lett.

View full text Add to dashboard Cite

show abstract

“…Therefore, long duration duty-standby transitions are likely the reality, even when the TSN networks are used. We may think that the solutions for networked-control systems [60,61] can be employed for DepMPC. However, the networked-control system is different compared to the DepMPC; so the solutions are not suitable for the DepMPC, predominantly for two reasons: (1) The duty-standby transitions do not often occur at the frequency of the intermittent communication losses.…”

Section: Replacement Controller -Analysismentioning

confidence: 99%