Generalized String-Stability Criteria for Consensus Protocols

TL;DR

This paper introduces a unified framework for string stability in multi-agent systems, showing that communication richness determines stability across protocol orders, with implications for vehicle platoons and cooperative control.

Contribution

It establishes that string stability depends solely on communication richness r, regardless of protocol order m, unifying existing results and offering new insights into topology and control design.

Findings

String stability is dictated by communication richness r for all protocol orders.

Higher-order consensus cannot overcome the structural limitation of low r.

Numerical simulations confirm the theoretical analysis of disturbance propagation.

Abstract

This paper presents a unified string-stability framework for leader-follower multi-agent systems governed by first-, second-, and m-th order consensus protocols operating under an r-predecessor directed communication topology. While string stability has been extensively studied for specific vehicle models and individual consensus protocols, existing results remain fragmented across protocol orders and do not identify the fundamental factors governing disturbance amplification or attenuation. This work shows that, for all consensus orders, string stability is dictated solely by the communication richness r, while the protocol order m influences only the mid-frequency transient behavior. In particular, the low-frequency gain of the disturbance propagation coefficient is inversely proportional to r for every m, implying that higher-order consensus cannot overcome the structural limitation imposed by insufficient communication and that, under the adopted H-infinity-based string-stability definition and the present framework, string stability is achievable if and only if r >= 2. This establishes a structural-dynamic separation principle that unifies and generalizes classical platoon results, providing new insight into the interplay between topology and controller design in cooperative driving and multi-agent coordination. The framework is developed under idealized identical-agent and fixed-topology assumptions, providing a baseline for future robust extensions. Numerical simulations corroborate the analysis and illustrate how m and r jointly shape disturbance propagation along the formation.