Abstract
This paper compares the identification of step response model coefficients based on either an autoregressive moving average (ARMA) model or a unit pulse response model. The identification of the two model types is compared for speed and accuracy in achieving the ideal step response coefficients in open-loop and closed-loop single-input, single-output systems. This comparison is useful for those wishing to construct an adaptive form of those model-based predictive controllers that use an internal step response process model.
| Original language | American English |
|---|---|
| Journal | Proceedings of the American Control Conference (1992, Chicago, IL) |
| Volume | 2 |
| DOIs | |
| State | Published - Jun 1 1992 |
Keywords
- Algorithms
- Autoregressive Moving Average (ARMA) Model
- Closed Loop Single Input
- Control Equipment
- Control Systems
- Identification (Control Systems)
- Least Squares Approximations
- Mathematical Models
- Recursive Functions
- Single Output Systems
- Step Response
- Unit Pulse Response Model
Disciplines
- Electrical and Computer Engineering
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