Use ss to create real-valued or complex-valued state-space models, or to convert dynamic system models to state-space model form. A state-space model is a mathematical representation of a physical system as a set of input, output, and state variables related …

Learn how to create and work with state-space models in MATLAB and Control System Toolbox. Resources include videos, examples, and documentation covering state-space models and other topics.

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 realization is a set of matrices A, B, C, D such that H (s) = C (s I − A) − 1 B + D.

Introduction: State-Space Methods for Controller Design. In this section, we will show how to design controllers and observers using state-space (or time-domain) methods. Key MATLAB commands used in this tutorial are: eig, ss, lsim, place, acker

State transformations are important for converting between various canonical state-space forms, and for reconfiguring a given state-space models into a transformed model with controllable, uncontrollable, observable, and unobservable components decoupled.

This series introduces control techniques built on state-space equations; the model representation of choice for modern control. We’ll discuss topics such as pole placement, full-state feedback, and Linear Quadratic Regulator.

State-space models are models that use state variables to describe a system by a set of first-order differential or difference equations, rather than by one or more n th-order differential or difference equations. If the set of first-order differential equation is linear in the state and input variables, the model is referred to as a linear ...

A state-space model represents a system by a series of first-order differential state equations and algebraic output equations. Differential equations have been rearranged as a series of first order differential equations.

State Space Simulation in Matlab. Since matlab has first-class support for matrices and vectors, it is quite simple to implement a state-space model in matlab using no support functions whatsoever, e.g.,

Use ss model objects to represent state-space models. Explicit continuous-time state-space models have the following form: d x d t = A x + B u y = C x + D u. where x is the state vector. u is the input vector, and y is the output vector. A, B, C, and D are the state-space matrices that express the system dynamics.