An approach to parametric nonlinear least square optimization and application to task-level learning control

DOI10.1109/9.599970zbMath0885.90119OpenAlexW2146159969MaRDI QIDQ4361120

Dimitry M. Gorinevsky

Publication date: 26 October 1997

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/93cee97b11178d05b4ef84f6f1ec12c48b5a3568

zbMATH Keywords

quadratic performance indexflexible manipulatortwo-link flexible armparametric nonlinear least squareparametric nonlinear least squarestask-level learning control

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Learning and adaptive systems in artificial intelligence (68T05) Sensitivity, stability, parametric optimization (90C31) Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems involving computers (process control, etc.) (93C83) Automated systems (robots, etc.) in control theory (93C85)

Related Items (3)

Using radial basis function networks for function approximation and classification ⋮ Model-based update in task-level feedforward control using on-line approximation ⋮ Robustness and convergence rate of a discrete-time learning control algorithm for a class of nonlinear systems

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