Control System Toolbox provides algorithms and apps for systematically analyzing, designing, and tuning linear control systems.

Continuous-Discrete Conversion Methods Control System Toolbox™ offers several discretization and interpolation methods for converting dynamic system models between continuous time and discrete …

Use ss to create real-valued or complex-valued state-space models, or to convert dynamic system models to state-space model form.

This MATLAB function discretizes the continuous-time dynamic system model sysc using zero-order hold on the inputs and a sample time of Ts.

This example shows how to create discrete-time linear models using the tf, zpk, ss, and frd commands.

Use zpk to create zero-pole-gain models, or to convert dynamic system models to zero-pole-gain form.

State-Space Realizations A state-space realization is an implementation of a given input-output behavior. If a system is modeled by a transfer matrix H (s), then a ...

How to convert between continuous- and discrete-time systems, specifying sample times, and introducing time delays to your systems.

This example shows how to obtain a step-response plot and step-response data for a discrete-time dynamic system model. Obtaining time-domain responses of discrete-time models is the same as for …

This MATLAB function computes the unique stabilizing solution X, state-feedback gain K, and the closed-loop eigenvalues L of the following continuous-time algebraic Riccati equation.