An economic objective for the optimal experiment design of nonlinear dynamic processes

DOI10.1016/j.automatica.2014.10.100zbMath1309.93156OpenAlexW2087960070MaRDI QIDQ2342517

Filip Logist, Dries Telen, Jan F. Van Impe, Boris Houska, Moritz Diehl

Publication date: 28 April 2015

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2014.10.100

zbMATH Keywords

parameter estimationnonlinear systemsoptimal experiment design

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Eigenvalue problems (93B60) Biochemistry, molecular biology (92C40)

Related Items (1)

Self-Reflective Model Predictive Control

Uses Software

• ACADO

Cites Work

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• From experiment design to closed-loop control
• ACADO toolkit-An open-source framework for automatic control and dynamic optimization
• A convexity-based homotopy method for nonlinear optimization in model predictive control
• DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS
• Optimum Designs in Regression Problems
• Strongly Regular Generalized Equations
• Optimal inputs for linear system identification
• Numerical methods for optimal control problems in design of robust optimal experiments for nonlinear dynamic processes

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