Implementation VIs and Functions (Control Design Toolkit)
Use the Implementation VIs and functions to simulate the dynamic response of a discrete system model, deploy a discrete model to a real-time target, implement a discrete Kalman filter, and implement current and predictive observers.
| Palette Object | Description |
|---|---|
| CD Current Observer Corrector | Corrects state estimates made at the previous time step for a discrete linear time-invariant (LTI) state-space model. |
| CD Current Observer Predictor | Calculates the estimated states for the next time step k + 1 by using the corrected state estimate the CD Current Observer Corrector VI calculates. |
| CD Discrete Recursive Kalman Corrector | Corrects Kalman state estimates made at the previous time step for a discrete stochastic state-space model. |
| CD Discrete Recursive Kalman Predictor | Calculates the estimated states for the next time step k + 1 by using the corrected state estimate the CD Discrete Recursive Kalman Corrector VI calculates. |
| Discrete State-Space | Implements a system model in discrete state-space form. You define the system model by specifying the input, output, state, and direct transmission matrices. |
| Discrete Stochastic State-Space (External) | Simulates a discrete-time stochastic state-space system model using externally-generated noise or disturbances. |
| Discrete Stochastic State-Space (Internal) | Simulates a discrete-time stochastic state-space system model using internally-generated random samples of Gaussian-distributed noise vectors. |
| Discrete Transfer Function | Implements a system model in discrete transfer function form. You define the system model by specifying the Numerator and Denominator of the transfer function equation. |
| Discrete Zero-Pole-Gain | Implements a system model in discrete zero-pole-gain form. You define the system model by specifying the Zeros, Poles, and Gain of the zero-pole-gain equation. |
| Predictive Observer | Implements a predictive observer for a discrete linear time-invariant (LTI) state-space model. |