Optimal control of non-linear systems through hybrid cell-mapping/artificial-neural-networks techniques

DOI<307::AID-ACS545>3.0.CO;2-B 10.1002/(SICI)1099-1115(199906)13:4<307::AID-ACS545>3.0.CO;2-BzbMath0945.93555OpenAlexW1970355530MaRDI QIDQ4262414

T. Martínez-Marín, Pedro J. Zufiria

Publication date: 2 November 1999

Full work available at URL: https://doi.org/10.1002/(sici)1099-1115(199906)13:4<307::aid-acs545>3.0.co;2-b

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10)

Related Items

Improved optimal control methods based upon the adjoining cell mapping technique, Adaptive cellular integration of linearly implicit differential equations

Cites Work

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• A discrete method of optimal control based upon the cell state space concept
• Cell-to-cell mapping. A method of global analysis for nonlinear systems
• A dynamic programming approach to trajectory planning of robotic manipulators
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• Universal approximation bounds for superpositions of a sigmoidal function