What is it about?
How to model real-time dynamical processes. How to digitally mechanize continuous-time process models with the use of finite-horizon integrating filters. How to apply least-squares and instrumental variable procedures in recursive forms. How to simultaneously identiy both input delay and spectral parameters of the system models.
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Why is it important?
Real-time process models are continuous and dynamic in nature with some delay, while modern tools are digital.
Perspectives
The developed method of delay systems identification appears to be helpful in solving the following three problems of iIdentification for: continuous-time delay MIMO systems, distributed parameter systems with input delay, and delay SISO systems with nonlinear dynamics.
Prof. Zdzislaw Kowalczuk
Politechnika Gdanska
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This page is a summary of: On-line parameter and delay estimation of continuous-time dynamic systems, International Journal of Applied Mathematics and Computer Science, January 2015, De Gruyter,
DOI: 10.1515/amcs-2015-0017.
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