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Proceedings ArticleDOI

Information flow and its relation to the stability of the motion of vehicles in a rigid formation

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TLDR
In this paper, the authors consider a homogeneous collection of vehicles, where each vehicle can communicate with a maximum number of vehicles such that the propagation of errors in spacing response increase at least as O(n/spl radic/(n/sup 2/)/q(n)/sup 3/3/) with respect to the size of the collection.
Abstract
It is known in the literature on automated highway systems that information flow can significantly affect the propagation of errors in spacing in a collection of vehicles. This paper investigates this issue further for a homogeneous collection of vehicles, where in the motion of each vehicle is modeled as a point mass. The structure of the controller employed by the vehicles is as follows: U/sub i/(s)=C(s)/spl Sigma/ /sub j/spl isin/si/(X/sub i/ - X/sub j/ - L/sub ij//s) where U/sub i/(s) is the (Laplace transformation of) control action for the i/sup th/ vehicle, L/sub ij/is the position of the i/sup th/ vehicle, L/sub ij/ is the desired distance between the i/sup th/ and the j/sup th/ vehicles in the collection, C(s) is the controller transfer function and S/sub i/ is the set of vehicles that the i/sup th/ vehicle can communicate with directly. This paper further assumes that the information flow is undirected, i.e., i/spl isin/S/sub j//spl harr/j/spl isin/S/sub i/, and the information flow graph is connected. We consider information flow in the collection, where each vehicle can communicate with a maximum of q(n) vehicles, such that q(n) may vary with the size n of the collection. We first show that C(s) cannot have any zeroes at the origin to ensure that relative spacing is maintained in response to a reference vehicle making a maneuver where its velocity experiences a steady state offset. We then show that if the control transfer function C(s) has one or more poles located at the origin of the complex plane, then the motion of the collection of vehicles will become unstable if the size of the collection is sufficiently large. These two results imply that C(0)/spl ne/0 and C(0) is well defined. We further show that if q(n)/sup 3//n/sup 2//spl rarr/0 as n /spl rarr//spl infin/ then there is a low frequency sinusoidal disturbance of at most unit amplitude acting on each vehicle such that the maximum errors in spacing response increase at least as O (/spl radic/(n/sup 2/)/q(n)/sup 3/). A consequence of the results presented in this paper is that the maximum of the error in spacing and velocity of any vehicle can be made insensitive to the size of the collection only if there is at least one vehicle in the collection that communicates with at least O(n/sup 2/3/) other vehicles in the collection.

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Citations
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Journal ArticleDOI

Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies

TL;DR: Under linear feedback controllers, a unified internal stability theorem is proved by using the algebraic graph theory and Routh-Hurwitz stability criterion, and the stabilizing thresholds of linear controller gains for platoons are established under a large class of different information flow topologies.
Journal ArticleDOI

String stability for vehicular platoon control: Definitions and analysis methods

TL;DR: This paper aims to clarify the relationship of ambiguous definitions and various analysis methods, providing a rigorous foundation for future studies on platoon control, and provides insights for practical selection of analyzing methods for vehicle platoons.
Proceedings ArticleDOI

Influence of information flow topology on closed-loop stability of vehicle platoon with rigid formation

TL;DR: Under linear feedback controllers, a unified closed-loop stability theorem is proved by using the algebraic graph theory and Routh-Hurwitz stability criterion, which establishes the stabilization threshold of linear controller gains for platoons with a large class of different information flow topologies.
Journal ArticleDOI

Distributed Platoon Control Under Topologies With Complex Eigenvalues: Stability Analysis and Controller Synthesis

TL;DR: This paper extends existing studies on distributed platoon control to more generic topologies with complex eigenvalues, including both internal stability analysis and linear controller synthesis, and proposes a Riccati inequality based algorithm to calculate the feasible static control gain.
Journal ArticleDOI

Limitations of employing undirected information flow graphs for the maintenance of rigid formations for heterogeneous vehicles

TL;DR: There is a critical size of the formation beyond which the motion of the vehicles in the formation will be unstable, and the inability to scale such controllers for maintenance of rigid formations in conjunction with undirected information flow graphs is shown.
References
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Journal ArticleDOI

Information flow and cooperative control of vehicle formations

TL;DR: A Nyquist criterion is proved that uses the eigenvalues of the graph Laplacian matrix to determine the effect of the communication topology on formation stability, and a method for decentralized information exchange between vehicles is proposed.
Journal ArticleDOI

Information flow and cooperative control of vehicle formations

TL;DR: It is demonstrated how exchange of minimal amounts of information between vehicles can be designed to realize a dynamical system which supplies each vehicle with a shared reference trajectory.
Journal ArticleDOI

String stability of interconnected systems

TL;DR: The authors derive sufficient ("weak coupling") conditions which guarantee the asymptotic string stability of a class of interconnected systems and ensure that the states of all the subsystems are all uniformly bounded when a gradient-based parameter adaptation law is used.
Book

Introduction to Perturbation Methods

TL;DR: The WKB and Related Methods are described and the method of Homogenization is explained, followed by a discussion of the properties of Transition Layer Equations and asymptotic approximations.
Journal ArticleDOI

A Comparision of Spacing and Headway Control Laws for Automatically Controlled Vehicles1

TL;DR: In this article, the authors investigated two different longitudinal control policies for automatically controlled vehicles, one is based on maintaining a constant spacing between the vehicles while the other is based upon maintaining the constant headway (or time) between successive vehicles.
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