Create, analyze, and use state-space representations for control design
A state-space model is commonly used for representing a linear time-invariant (LTI) system. It describes a system with a set of first-order differential or difference equations using inputs, outputs, and state variables. In the absence of these equations, a model of a desired order (or number of states) can be estimated from measured input-output data.
The models are widely used in modern control applications for designing controllers and analyzing system performance in the time domain and frequency domain. The models can be applied to nonlinear systems or systems with non-zero initial conditions. They also provide a convenient way to represent, analyze, and control multi-input/multi-output (MIMO) systems.
For more on control system design, see Control System Toolbox™ and System Identification Toolbox™ for use with MATLAB®.
Examples and How To
See also: transfer function, root locus, linearization, control systems, PID control, PID tuning, control design software, bode plot, Time Series Regression