Input design analysis for the capacity of finite impulse response actuator. (English) Zbl 07929833
Liang, Qilian (ed.) et al., Communications, signal processing, and systems. Proceedings of the 11th international conference, virtual, July 23–24, 2022. Vol. 3. Cham: Springer. Lect. Notes Electr. Eng. 874, 1-8 (2023).
Summary: Mutual information (MI) is usually a computational heavy work when used as optimal metric in control system. In this paper, the modeling of Finite Impulse Response (FIR) system with entropy-rate framework is shown. A practical signal sampling algorithm to calculate the MI in the case of probability density function (PDF) with regenerative property is given. The MI calculation method is based on random sampling, which can reduce the computational complexity. The simulation results show our entropy-rate framework can be employed in analysis for the capacity of FIR actuator.
For the entire collection see [Zbl 1537.94008].
For the entire collection see [Zbl 1537.94008].
MSC:
| 93-XX | Systems theory; control |
| 94A15 | Information theory (general) |
| 94A17 | Measures of information, entropy |
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