Abstract
The model reduction problem for nonlinear systems and nonlinear time-delay systems based on the steady-state notion of moment is reviewed. We show how this nonlinear description of moment is used to pose and solve the model reduction problem by moment matching for nonlinear systems, to develop a notion of frequency response for nonlinear systems, and to solve model reduction problems in the presence of constraints on the reduced order model. Model reduction of nonlinear time-delay systems is then discussed. Finally, the problem of approximating the moment of nonlinear, possibly time-delay, systems from input/output data is briefly illustrated.
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Notes
- 1.
The matrices A, B, C, and the zeros of (2.9) fix the moments. Then, given any observable pair (L, S) with S a non-derogatory matrix with characteristic polynomial (2.9), there exists an invertible matrix \(T\in \mathbb {R}^{\nu \times \nu }\) such that the elements of the vector \(C\varPi T^{-1}\) are equal to the moments.
- 2.
A matrix is non-derogatory if its characteristic and minimal polynomials coincide.
- 3.
Note that the results of this section are local.
- 4.
See [53, Chapter 8] for the definition of Poisson stability.
- 5.
\(V_\xi \) and \(V_{\xi \xi }\) denote, respectively, the gradient and the Hessian matrix of the scalar function \(V:\ \xi \mapsto V(\xi )\).
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Scarciotti, G., Astolfi, A. (2017). A Review on Model Reduction by Moment Matching for Nonlinear Systems. In: Petit, N. (eds) Feedback Stabilization of Controlled Dynamical Systems. Lecture Notes in Control and Information Sciences, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-51298-3_2
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