Robust Lyapunov Functions for Reaction Networks: An Uncertain System Framework
M. Ali Al-Radhawi, David Angeli

TL;DR
This paper introduces a new framework for constructing Lyapunov functions for chemical reaction networks with uncertain kinetics, linking them to linear parameter varying systems and contraction analysis.
Contribution
It provides a novel method to find Lyapunov functions for CRNs by transforming the problem into a linear parameter varying system framework, unifying previous results and analysis techniques.
Findings
Reformulation of Lyapunov function search as a linear parameter varying system problem
Connection established between Lyapunov functions and contraction analysis
Results on persistence and equilibrium uniqueness
Abstract
We present a framework to transform the problem of finding a Lyapunov function of a Chemical Reaction Network (CRN) in concentration coordinates with arbitrary monotone kinetics into finding a common Lyapunov function for a linear parameter varying system in reaction coordinates. Alternative formulations of the proposed Lyapunov function is presented also. This is applied to reinterpret previous results by the authors on Piecewise Linear in Rates Lyapunov functions, and to establish a link with contraction analysis. Persistence and uniqueness of equilibria are discussed also.
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Taxonomy
TopicsControl and Stability of Dynamical Systems · Gene Regulatory Network Analysis · Advanced Control Systems Optimization
