Lagrange's theorem (number theory): Difference between revisions

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A '''state variable''' is one of the set of [[variable (mathematics)|variables]] that are used to describe the mathematical "state" of a [[dynamical system]]. Intuitively, the state of a system describes enough about the system to determine its future behaviour. Models that consist of coupled first-order differential equations are said to be in state-variable form.<ref>
{{cite book
|author=William J. Palm III
|year=2010
|title=System Dynamics
|edition=2nd
|publisher=
|page=225
|isbn=
}}</ref>
 
==Examples==
*In [[mechanics|mechanical systems]], the position coordinates and [[Velocity|velocities]] of mechanical parts are typical state variables; knowing these, it is possible to determine the future state of the objects in the system.
*In a [[Thermodynamics|thermodynamic system]], properties such as [[thermodynamic temperature|temperature]], [[pressure]], [[volume]], [[internal energy]], [[enthalpy]], and [[entropy]] are state variables.
*In [[electronic circuit]]s, the [[voltage]]s of the nodes and the [[Electric current|current]]s through components in the circuit are usually the state variables.
*In [[ecosystem model]]s, population sizes (or concentrations) of plants, animals and resources (nutrients, organic material) are typical state variables.
 
==Control systems engineering==
In [[control engineering]] and other areas of science and engineering, state variables are used to represent the states of a general system. The state variables can be used to describe the [[state space (controls)|state space]] of the system. The equations relating the current state and output of a system to its current input and past states are called the state equations. The state equations for a [[linear time invariant]] system can be expressed using coefficient [[Matrix (mathematics)|matrices]]:
 
:<math>A\in</math> '''R'''<sup>''N*N''</sup>, <math>\quad B\in</math> '''R'''<sup>''N*L''</sup>, <math>\quad C\in</math> '''R'''<sup>''M*N''</sup>, <math>\quad D\in</math> '''R'''<sup>''M*L''</sup>,
 
where ''N'', ''L'' and ''M'' are the dimensions of the vectors describing the state, input and output, respectively.
 
===Discrete-time systems===
 
The state variable representing the current state of a discrete-time system (i.e. digital system) is <math>x[n]\,</math>, where n is the [[Discrete time|discrete]] point at which the system is being evaluated. The discrete-time state equations are
: <math> x[n+1] = Ax[n] + Bu[n]\,\!</math> , which describes the next state of the system (x[n+1]) with respect to current state and inputs u[n] of the system.
 
: <math> y[n]  = Cx[n] + Du[n]\,\!</math> , which describes the output y[n] with respect to current states and inputs u[n] to the system.
 
===Continuous time systems===
 
The state variable representing the current state of a continuous-time system (i.e. analog system) is <math>x(t)\,</math>, and the continuous time state equations are
: <math> \frac{dx(t)}{dt} \ = Ax(t) + Bu(t)\,\!</math> , which describes the next state of the system <math> \frac{dx(t)}{dt} \,\!</math> with respect to current state x(t) and inputs u(t) of the system.
 
: <math> y(t)  = Cx(t) + Du(t)\,\!</math> , which describes the output y(t) with respect to current states x(t) and inputs u(t) to the system.
 
==See also==
*[[State space (controls)]]
*[[Control theory]]
*[[Equation of state]]
*[[State (computer science)]]
*[[Dynamical systems]]
*[[State (functional analysis)]]
*[[State diagram]]
*[[State variable filter]]
 
==References==
{{Reflist}}
 
{{DEFAULTSORT:State Variable}}
[[Category:Control theory]]

Latest revision as of 21:03, 3 December 2014

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