\(\DeclarePairedDelimiterX{\Set}[2]{\{}{\}}{#1 \nonscript\;\delimsize\vert\nonscript\; #2}\) \( \DeclarePairedDelimiter{\set}{\{}{\}}\) \( \DeclarePairedDelimiter{\parens}{\left(}{\right)}\) \(\DeclarePairedDelimiterX{\innerproduct}[1]{\langle}{\rangle}{#1}\) \(\newcommand{\ip}[1]{\innerproduct{#1}}\) \(\newcommand{\bmat}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\barray}[1]{\left[\hspace{2.0pt}\begin{matrix}#1\end{matrix}\hspace{2.0pt}\right]}\) \(\newcommand{\mat}[1]{\begin{matrix}#1\end{matrix}}\) \(\newcommand{\pmat}[1]{\begin{pmatrix}#1\end{pmatrix}}\) \(\newcommand{\mathword}[1]{\mathop{\textup{#1}}}\)
Needs:
Differential Equations
Real Matrices
Needed by:
Continuous-Time Linear Dynamical Systems with Inputs and Outputs
Links:
Sheet PDF
Graph PDF

Autonomous Continuous-Time Linear Dynamical Systems

Definition

An autonomous continuous-time linear dynamical system is a matrix $A \in \R ^{n \times n}$. It models the behavior of a signal $x: \R \to \R ^n$ by

\begin{equation} \dot{x} = Ax, \label{defining} \end{equation}
where $\dot{x}$ is notation for $\frac{d}{dt} x(t)$. $A$ is called the dynamics matrix.

A signal $x$ satisfying Equation~\eqref{defining} is called a solution or a trajectory. For $t \in \R $, $x(t) \in \R ^n$ is called the state and $\R ^n$ is called the state space. $n$ is called the state dimension.

Copyright © 2023 The Bourbaki Authors — All rights reserved — Version 13a6779cc About Show the old page view