Optimal input design for continuous-time system identification

DOI10.1016/j.cnsns.2017.12.013zbMath1470.93158OpenAlexW2783944288MaRDI QIDQ2207840

Sergey Abrashov, François Aioun, Rachid Malti, Franck Guillemard, Mathieu Moze, Xavier Moreau

Publication date: 23 October 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2017.12.013

zbMATH Keywords

Laguerre functionsoptimal input designfractional systemsexperiment planningbasis functions decompositioncontinuous-time system identification

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Minimax problems in mathematical programming (90C47) Identification in stochastic control theory (93E12)

Related Items (2)

Experiment design for elementary fractional models ⋮ Identification of Continuous-Time Fractional Models from Noisy Input and Output Signals

Uses Software

• CRONE
• CONTSID

Cites Work

• Direct continuous-time approaches to system identification. Overview and benefits for practical applications
• Estimation of thermal parameters using fractional modelling
• Analytical computation of the \({\mathcal H}_2\)-norm of fractional commensurate transfer functions
• Stability and resonance conditions of elementary fractional transfer functions
• For model-based control design, closed-loop identification gives better performance
• Dynamic system identification. Experiment design and data analysis
• Optimal input design using generalized binary sequence
• Closed loop experiment design for linear time invariant dynamical systems via LMIs
• Parameter and differentiation order estimation in fractional models
• CRONE control system design toolbox for the control engineering community: tutorial and case study
• Optimal input signals for parameter estimation in dynamic systems--Survey and new results
• Continuous-time model identification from sampled data: Implementation issues and performance evaluation
• Input design via LMIs admitting frequency-wise model specifications in confidence regions
• Simple and Robust Experiment Design for System Identification Using Fractional Models

This page was built for publication: Optimal input design for continuous-time system identification