Control Quality Assessment of Nonlinear Model Predictive Control Using Fractal and Entropy Measures

DOI10.1007/978-3-030-34747-5_15zbMath1454.93063OpenAlexW3003949445MaRDI QIDQ5141260

Paweł D. Domański, Maciej Ławryńczuk

Publication date: 18 December 2020

Published in: Nonlinear Dynamics and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-34747-5_15

zbMATH Keywords

entropyHurst exponentmodel predictive controlfat tailsnonlinear control performance assessment

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Model predictive control (93B45)

Cites Work

• Control loop performance assessment using detrended fluctuation analysis (DFA)
• Performance assessment of advanced supervisory-regulatory control systems with subspace LQG benchmark
• Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models
• Assessment of the GPC control quality using non-Gaussian statistical measures
• A novel method for control performance assessment with fractional order signal processing and its application to semiconductor manufacturing
• Computationally efficient model predictive control algorithms. A neural network approach

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