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• W2141796629 abstract "In this paper, we develop fixed-final time nearly optimal control laws for a class of non-holonomic chained form systems by using neural networks to approximately solve a Hamilton—Jacobi—Bellman equation. A certain time-folding method is applied to recover uniform complete controllability for the chained form system. This method requires an innovative design of a certain dynamic control component. Using this time-folding method, the chained form system is mapped into a controllable linear system for which controllers can systematically be designed to ensure exponential or asymptotic stability as well as nearly optimal performance. The result is a neural network feedback controller that has time-varying coefficients found by a priori offline tuning. The results of this paper are demonstrated in an example." @default.
• W2141796629 created "2016-06-24" @default.
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• W2141796629 date "2009-08-06" @default.
• W2141796629 modified "2023-09-23" @default.
• W2141796629 title "Neural network solution for suboptimal control of non-holonomic chained form system" @default.
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• W2141796629 doi "https://doi.org/10.1177/0142331208094043" @default.
• W2141796629 hasPublicationYear "2009" @default.
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