Abstract
We now generalize the class of systems considered, and allow an arbitrary number of states convecting in one of the directions. They are referred to as \( n + 1 \) systems, where the phrasing “\( n + 1 \)” refers to the number of variables, with u being a vector containing n components convecting from \( x = 0 \) to \( x = 1 \), and v is a scalar convecting in the opposite direction. They are typically stated in the following form
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Diagne A, Bastin G, Coron J-M (2012) Lyapunov exponential stability of 1-D linear hyperbolic systems of balance laws. Automatica 48:109–114
Di Meglio F, Kaasa G-O, Petit N, Alstad V (2011) Slugging in multiphase flow as a mixed initial-boundary value problem for a quasilinear hyperbolic system. In: American control conference. CA, USA, San Francisco
Di Meglio F, Vazquez R, Krstić M, Petit N (2012) Backstepping stabilization of an underactuated \(3 \times 3\) linear hyperbolic system of fluid flow transport equations. In: American control conference. Montreal, QC, Canada
Hudson J, Sweby P (2003) Formulations for numerically approximating hyperbolic systems governing sediment transport. J Sci Comput 19:225–252
Zuber N (1965) Average volumetric concentration in two-phase flow systems. J Heat Transf 87(4):453–468
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Anfinsen, H., Aamo, O.M. (2019). Introduction. In: Adaptive Control of Hyperbolic PDEs. Communications and Control Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-05879-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-05879-1_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05878-4
Online ISBN: 978-3-030-05879-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)