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Identification of parametric models : from experimental data
Eric Walter,Luc Pronzato +1 more
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The article was published on 1997-01-01 and is currently open access. It has received 1251 citations till now. The article focuses on the topics: Parametric model & Experimental data.read more
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Journal ArticleDOI
Brief paper: Set-membership state estimation with fleeting data
TL;DR: This paper deals with offline nonlinear state estimation where measurements are available only when some given equality conditions are satisfied and the first approach able to deal with nonlinear estimation with fleeting data is presented.
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Measuring the inertia tensor of vehicles
TL;DR: In this paper, a test-rig for measuring the inertia tensor of a vehicle is presented, which is basically a three or four bar pendulum hanging from the ceiling and carrying, by means of a rigid frame the rigid body under investigation.
Journal ArticleDOI
Computationally intelligent strategies for robust fault detection, isolation, and identification of mobile robots
F. Baghernezhad,K. Khorasani +1 more
TL;DR: Improvements in the FDI performance by employing adaptive threshold bands that are generated with locally linear models (LLM) as well as model error modeling (MEM) techniques are demonstrated and illustrated through extensive simulation case studies.
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Automated engineering of synthetic metabolic pathways for efficient biomanufacturing
TL;DR: This review discusses how the success of the metabolic engineering pipeline often relies on retrobiosynthetic protocols able to identify promising production routes and dynamic regulation strategies through automated biodesign algorithms, which are subsequently assembled as embedded integrated genetic circuits in the host strain.
Proceedings ArticleDOI
Optimal mobile actuator/sensor network motion strategy for parameter estimation in a class of cyber physical systems
Christophe Tricaud,YangQuan Chen +1 more
TL;DR: This paper introduces a framework to solve the problem of determining optimal sensors and actuators trajectories so as to estimate a set of unknown parameters in what constitutes a cyber-physical system (CPS).