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Stochastic Lp string stability analysis in predecessor-following platoons under packet losses

Alejandro I. Maass, Francisco J. Vargas, Andres A. Peters, Juan I. Yuz

TL;DR

This paper model the overall platoon as a stochastic hybrid system and analyse its string stability via a small-gain approach, and illustrates how the different elements of the platoon have an impact on string stability, such as platoon topology and vehicle scheduling.

Abstract

In this paper, we study (homogeneous) predecessor-following platoons in which the vehicle-to-vehicle (V2V) communications are affected by random packet losses. We model the overall platoon as a stochastic hybrid system and analyse its string stability via a small-gain approach. For nonlinear platoons, we illustrate how the different elements of the platoon have an impact on string stability, such as platoon topology and vehicle scheduling. For linear time-invariant platoons, we provide an explicit string stability condition that illustrates the interplay between the channel success probability, transmission rate, and time headway constant. Lastly, we illustrate our results by numerical simulations.

Stochastic Lp string stability analysis in predecessor-following platoons under packet losses

TL;DR

This paper model the overall platoon as a stochastic hybrid system and analyse its string stability via a small-gain approach, and illustrates how the different elements of the platoon have an impact on string stability, such as platoon topology and vehicle scheduling.

Abstract

In this paper, we study (homogeneous) predecessor-following platoons in which the vehicle-to-vehicle (V2V) communications are affected by random packet losses. We model the overall platoon as a stochastic hybrid system and analyse its string stability via a small-gain approach. For nonlinear platoons, we illustrate how the different elements of the platoon have an impact on string stability, such as platoon topology and vehicle scheduling. For linear time-invariant platoons, we provide an explicit string stability condition that illustrates the interplay between the channel success probability, transmission rate, and time headway constant. Lastly, we illustrate our results by numerical simulations.
Paper Structure (20 sections, 4 theorems, 28 equations, 8 figures)

This paper contains 20 sections, 4 theorems, 28 equations, 8 figures.

Key Result

Theorem 1

Consider system eq:HCS-nonlinear and suppose the following conditions hold. If the transmission rate $\bm{\lambda}$ satisfies then, system eq:HCS-nonlinear is $\mathcal{L}_p$ stable in expectation from $w$ to $(G(\mathbf{x}),W(\mathbf{e}))$ as per Definition def:Lp-mean, with where $\epsilon>0$, $K_e = \tfrac{\overline{a}_W(\bm{\lambda} - L)}{\max\{1,L\}(\bm{\lambda}(1-\bar{\kappa})-L)}$, and $

Figures (8)

  • Figure 1: Platoon configuration.
  • Figure 2: Block diagram of the CACC scheme.
  • Figure 3: Upper bounds $\overline{\gamma}_x$ and $\overline{K}_x$ as per Theorem \ref{['theo:SS-explicit']}$(i)$ for $h=5$.
  • Figure 4: Region for $\mathcal{L}_2$ string stability in expectation as per Theorem \ref{['theo:SS-explicit']}, with an average transmission interval of $1/\bm{\lambda}=0.1[s]$.
  • Figure 5: External platoon input $w(t)=(v_0(t),u_0(t))$.
  • ...and 3 more figures

Theorems & Definitions (11)

  • Remark 1
  • Definition 1
  • Remark 2
  • Example 1: Sampled-data (SD) protocol oncu2012string
  • Example 2: Round-robin (RR) protocol nestee04
  • Definition 2
  • Theorem 1
  • Remark 3
  • Corollary 1
  • Theorem 2
  • ...and 1 more