Composite adaptive control with locally weighted statistical learning

DOI10.1016/j.neunet.2004.08.009zbMath1075.93048OpenAlexW2089841388WikidataQ48955892 ScholiaQ48955892MaRDI QIDQ1763472

Jun Nakanishi, Jay A. Farrell, Stefan Schaal

Publication date: 22 February 2005

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2004.08.009

zbMATH Keywords

Adaptive controlComposite adaptationLocally weighted learningReceptive field weighted regressionStatistical learning of nonlinear functions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stochastic learning and adaptive control (93E35)

Related Items (10)

Composite adaptive dynamic surface control using online recorded data ⋮ Neural network structure for modeling of a complex multivariable function based on data samples ⋮ Incremental acquisition of multiple nonlinear forward models based on differentiation process of schema model ⋮ Symmetric positive definite manifold learning and its application in fault diagnosis ⋮ Adaptive dynamic surface asymptotic tracking control of uncertain strict‐feedback systems with guaranteed transient performance and accurate parameter estimation ⋮ Adaptive control for nonlinear systems with time-varying control gain ⋮ Composite adaptive posicast control for a class of LTI plants with known delay ⋮ Composite learning adaptive sliding mode control of fractional-order nonlinear systems with actuator faults ⋮ Recent results in robust adaptive flight control systems ⋮ Almost output regulation model reference adaptive control for switched systems: combined adaptive strategy

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Composite adaptive control of robot manipulators
• Adaptive nonlinear control without overparametrization
• Adaptive control of linearizable systems
• Adaptive control of a class of nonlinear discrete-time systems using neural networks

This page was built for publication: Composite adaptive control with locally weighted statistical learning