A Lyapunov Proof of an Improved Maximum Allowable Transfer Interval for Networked Control Systems

By Daniele Carnevale, Andrew R. Teel, Dragan Nesic. IEEE Transactions on Automatic Control, 2007

357 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/6de610b445fde7db898e8bde7c74716bd5c78b20

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In Control and Systems Engineering

Citations in the corpus

Stability Analysis of Networked Control Systems Using a Switched Linear Systems Approach (2009, methodology): “In this paper, we focus on two commonly used protocols, see [10,14,15, 16 ,17], namely the Try-Once-Discard (TOD) and the Round-Robin (RR) protocol.”
Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains (2009, background): “Generally, existing results can be classified into two main categories: 1) to design a controller first, and then determine the network conditions such as the maximum allowable transfer interval to guarantee the stability and maintain certain performance [2], [9], [10]; 2) to explicitly incorporate ”
Event-Triggered Control Systems Under Denial-of-Service Attacks (2017, background): “Lemma 1: [25] Let τ̄miet be given by (28), then the solution to”
Recent developments on the stability of systems with aperiodic sampling: An overview (2017, methodology): “For nonlinear sampled-data systems the stability properties have been studied in the more general context of Networked Control Systems with scheduling protocols (Carnevale et al., 2007; Nešić & Teel, 2004b). This approach has been particularized to the sampled-data case in Nešić et al. (2009). Consi”
Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance (2010, positive): “by taking φ0(0) = φ1(0) = λ−1 TOD = √ 2, we recover exactly the delay-free results in [1] withτmad = 0 and τmati = 0.”
Explicit Computation of the Sampling Period in Emulation of Controllers for Nonlinear Sampled-Data Systems (2009, methodology): “However, examples in [2], [10], [13] illustrate in a much more general context of NCS that the formula is often not overly conservative.”
Output-Based and Decentralized Dynamic Event-Triggered Control With Guaranteed $\mathcal{L}_{p}$- Gain Performance and Zeno-Freeness (2017, methodology): “However, by building upon [1], [2], and [6], a framework can be obtained that allows us to study next to this standard sampled-data ETC setup, also other access protocols including the round-robin (RR) and the try-once-discard (TOD) protocols in one framework without additional burden.”