Adaptive experiment design for LTI systems
Lirong Huang, H{\aa}kan Hjalmarsson, L\'aszl\'o Gerencs\'er

TL;DR
This paper introduces an adaptive input design method tailored for single-input single-output linear-time-invariant systems to improve parameter estimation when system parameters are initially unknown.
Contribution
It presents a novel adaptive experiment design approach specifically for LTI systems, addressing the challenge of unknown parameters in optimal input design.
Findings
Effective adaptive input design for LTI systems
Improved parameter estimation accuracy
Addresses gap in existing adaptive experiment design literature
Abstract
Optimal experiment design for parameter estimation is a research topic that has been in the interest of various studies. A key problem in optimal input design is that the optimal input depends on some unknown system parameters that are to be identified. Adaptive design is one of the fundamental routes to handle this problem. Although there exist a rich collection of results on adaptive experiment design, there are few results that address these issues for dynamic systems. This paper proposes an adaptive input design method for general single-input single-output linear-time-invariant systems.
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Taxonomy
TopicsControl Systems and Identification · Advanced Control Systems Optimization · Fault Detection and Control Systems
