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Modelli LPV e LTV

Modelli lineari a parametri variabili e modelli lineari a tempo variabile

Creare, manipolare, analizzare e simulare modelli lineari a parametri variabili (LPV) e modelli lineari a tempo variabile (LTV). Questi modelli possono approssimare sistemi non lineari e consentono di applicare in modo efficiente le tecniche di progettazione lineare a modelli non lineari.

Con le funzionalità disponibili, è possibile:

  • Creare modelli LPV o LTV da espressioni matematiche.

  • Creare modelli LPV o LTV che interpolino i risultati della linearizzazione su una griglia di condizioni operative.

  • Simulare la risposta temporale.

  • Specificare le connessioni basate sul segnale tra modelli variabili e modelli LTI.

  • Campionare la dinamica su una griglia di parametri per ottenere le approssimazioni LTI locali.

  • Discretizzare e ricampionare i modelli LPV o LTV.

Funzioni

espandi tutto

lpvssLinear parameter-varying state-space model (Da R2023a)
ltvssLinear time-varying state-space model (Da R2023a)
getTestValueAccess test values for validating data function (Da R2023a)
setTestValueModify test values for validating data function (Da R2023a)
findopCompute operating condition from specifications (Da R2023b)
sampleSample linear parameter-varying or time-varying dynamics (Da R2023a)
ssInterpolantBuild gridded LTV or LPV model from state-space data (Da R2023a)
stepStep response of dynamic system
impulseImpulse response plot of dynamic system; impulse response data
lsimPlot simulated time response of dynamic system to arbitrary inputs; simulated response data
initialSystem response to initial states of state-space model
RespConfigOptions for step or impulse responses (Da R2023a)
feedbackFeedback connection of multiple models
connectBlock diagram interconnections of dynamic systems
seriesCollegamento in serie di due modelli
parallelParallel connection of two models
lftGeneralized feedback interconnection of two models (Redheffer star product)
c2dConvert model from continuous to discrete time
d2cConvert model from discrete to continuous time
d2dResample discrete-time model
xperm Reorder states in state-space models
sminrealStructural pole/zero cancellations

Blocchi

espandi tutto

LPV SystemSimulare sistemi lineari a parametri variabili (LPV)
Varying Lowpass FilterButterworth filter with varying coefficients
Varying Notch FilterNotch filter with varying coefficients
PID ControllerContinuous-time or discrete-time PID controller
PID Controller (2DOF)Continuous-time or discrete-time two-degree-of-freedom PID controller
Varying Transfer FunctionTransfer function with varying coefficients
Varying State SpaceState-space model with varying matrix values
Varying Observer FormObserver-form state-space model with varying matrix values
Discrete Varying LowpassDiscrete Butterworth filter with varying coefficients
Discrete Varying NotchDiscrete-time notch filter with varying coefficients
Discrete PID Controller (2DOF)Discrete-time or continuous-time two-degree-of-freedom PID controller
Discrete PID ControllerDiscrete-time or continuous-time PID controller
Discrete Varying Transfer FunctionDiscrete-time transfer function with varying coefficients
Discrete Varying State SpaceDiscrete-time state-space model with varying matrix values
Discrete Varying Observer FormDiscrete-time observer-form state-space model with varying matrix values

Argomenti

Nozioni di base dei modelli LTV e LPV

Utilizzo dei modelli analitici LTV e LPV

Utilizzo dei modelli LTV e LPV a griglia