Systems with Outputs
To begin, recall that a time-invariant linear dynamical system on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mat...
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Zusammenfassung: | To begin, recall that a time-invariant linear dynamical system on \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\mathbb{R}^n$$\end{document} with a linear output mapping (5.1)\documentclass[12pt]{minimal}
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\begin{document}$$\dot{x}= Ax,\ y= Cx\in\mathbb{R}^p $$\end{document} is called observable if the mapping from initial state \documentclass[12pt]{minimal}
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\begin{document}$$\xi$$\end{document} to output history \documentclass[12pt]{minimal}
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\begin{document}$$\frak{n}_T := \{y(t), t\in[0, T]\} $$\end{document} is one-to-one. The Kalman observability criterion (see Proposition 5.1) is that (5.1) is observable if and only if (5.2)\documentclass[12pt]{minimal}
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\begin{document}$$ {\rm rank}\ {\bf O} (C; A) = n {\rm where} {\bf O} (C;A) := {\rm col} (C, CA,\ldots, CA^{n-1})$$\end{document} is called the observability matrix. If \documentclass[12pt]{minimal}
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\begin{document}$$ {\bf O}(A;\mu) = n$$\end{document} then \documentclass[12pt]{minimal}
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\begin{document}$$\{ C, A_{\mu}\} $$\end{document} is called an observable pair; see Section 5.2.1. |
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ISSN: | 0066-5452 |
DOI: | 10.1023/b101451_5 |