Self-tuning control of non-linear ARMAX models

DOI10.1080/00207179008934096zbMath0708.93089OpenAlexW2146687460MaRDI QIDQ3491460

K. R. Sales, Stephen A. Billings

Publication date: 1990

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/78234/1/acse%20report%20362.pdf

zbMATH Keywords

nonlinear difference equationcontrol-weighted self-tuning minimum-variance controllercumulative loss functionhigh-order correlation functions

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Optimal stochastic control (93E20)

Related Items (6)

Integral minimum variance-like control for pooled non-linear representations with application to an aircraft system ⋮ Design of a fuzzy servo-controller ⋮ Rational model identification using an extended least-squares algorithm ⋮ Non-linear generalised minimum variance control state space design for a second-order Volterra series model ⋮ Variance decompositions of nonlinear time series using stochastic simulation and sensitivity analysis ⋮ Discrete fractional order PID controller design for nonlinear systems

Cites Work

• Unnamed Item
• Unnamed Item
• Adaptive identification and control algorithms for nonlinear bacterial growth systems
• Dynamic system identification. Experiment design and data analysis
• A theoretical analysis of recursive identification methods
• Identification of systems containing linear dynamic and static nonlinear elements
• Bilinear control processes. With applications to engineering, ecology, and medicine
• On self tuning regulators
• Input-output parametric models for non-linear systems Part I: deterministic non-linear systems
• Recursive identification of bilinear systems
• Prediction-error estimation algorithm for non-linear output-affine systems
• On bilinear estimation and control
• Weighted minimum-variance self-tuning control
• Bilinear systems: An appealing class of "nearly linear" systems in theory and applications

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