IEEE Transactions on Automatic Control, Vol.62, No.2, 620-635, 2017
Passivity and Dissipativity Analysis of a System and Its Approximation
In this paper, we consider the following problem: what passivity properties can be inferred for a system by studying only an approximate mathematical model for it. Our results show that an excess of passivity (whether in the form of input strictly passive, output strictly passive or very strictly passive) in the approximate model guarantees a certain passivity index for the system, provided that the norm of the error between the approximate and the true models is sufficiently small in a suitably defined sense. Further, we consider (Q,S,R)-dissipative systems and show that (Q,S,R)-dissipativity has a similar robustness property, even though the supply rates for the system and its approximation may be different. These results may be particularly useful if either the approximate model is much easier to analyze, or if the precise system model is unknown. We illustrate the results by considering particular approximation methods, e.g., model reduction, discretization, quantization, and linearization around an equilibrium point.
Keywords:Approximation;dissipativity;linearization;linear systems;model reduction;nonlinear systems;passivity;quantization;sampling