Abstract
We present some data-based methods to analyze the state/output controllability and state observability of discrete-time delayed linear time-invariant (LTI) systems, whose parameter matrices are all assumed unknown. They first augment the system into a high dimensional LTI model, then employ the measured state/output data to directly construct the controllability and observability matrices of this high dimensional model, whose ranks are the criteria of corresponding characteristics of the original system. These data-based methods have low computational load and calculation complexity.
| Original language | English |
|---|---|
| Pages (from-to) | 301-308 |
| Number of pages | 8 |
| Journal | Proceedings of International Conference on Artificial Life and Robotics |
| Volume | 2020 |
| DOIs | |
| State | Published - 2020 |
| Event | 25th International Conference on Artificial Life and Robotics, ICAROB 2020 - Beppu, Oita, Japan Duration: 13 Jan 2020 → 16 Jan 2020 |
Keywords
- Controllability and Observability
- Data-Based Analyzing Methods
- Discrete-Time Delayed LTI Systems
- High Dimensional LTI Model
- Measured State/Output Data
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