User`s guide

Preface
2
MATLAB
®
has a rich collection of functions immediately useful to the control
engineer or system theorist. Complex arithmetic, eigenvalues, root-finding,
matrix inversion, a n d FFTs are just a few examples of MAT LAB’s important
numerical tools. More generally, MATLAB’s linear algebra, matrix
computation, and numerical analysiscapabilities providea re liable foundation
for control system engineering as well as many other disciplines.
The ControlSystem Toolbox uses MATLAB matrixstructures and builds upon
the foundations of MATLAB to provide functions specialized to control
engineering. The Control System Toolbox is a collection of algorithms,
expressed mostly in M-files, which implements common control system design,
analysis, and modeling techniques.
Control systems can be modeled as transfer functions or in zero-pole-gain or
state-space form, allowing you to use both classical and modern techniques.
You can manipulate both continuous-time and discrete-time systems.
Conversions between various model representations are provided. Time
responses, frequency responses, and root loci can be computed and graphed.
Other functions allow pole placement, optimal control, and estimation. Finally,
and most importantly, tools that are not found in the toolbox can be created by
writing new M-files.