Abstract
This paper introduces and studies the notion of output-input stability, which represents a variant of the minimum-phase property for general smooth nonlinear control systems. The definition of output-input stability does not rely on a particular choice of coordinates in which the system takes a normal form or on the computation of zero dynamics. In the spirit of the "input-to-state stability" (ISS) philosophy, it requires the state and the input of the system to be bounded by a suitable function of the output and derivatives of the output, modulo a decaying term depending on initial conditions. The class of output-input stable systems thus defined includes all affine systems in global normal form whose internal dynamics are input-to-state stable and also all left-invertible linear systems whose transmission zeros have negative real parts. As an application, we explain how the new concept enables one to develop a natural extension to nonlinear systems of a basic result from linear adaptive control.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 422-436 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 47 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2002 |
Keywords
- Adaptive control
- Asymptotic stabilization
- Detectability
- Input-to-state stability (ISS)
- Minimum phase
- Nonlinear system
- Relative degree
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
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