hierarchy 发表于 2025-3-21 18:56:23

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CRATE 发表于 2025-3-21 22:21:19

Self-Learning Optimal Control of Nonlinear Systems978-981-10-4080-1Series ISSN 2198-4182 Series E-ISSN 2198-4190

Chivalrous 发表于 2025-3-22 02:25:03

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Facet-Joints 发表于 2025-3-22 05:39:50

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FLIP 发表于 2025-3-22 11:27:17

https://doi.org/10.1007/978-981-10-4080-1Intelligence Control; Adaptive Dynamic Programming; Self-Learning Control; Nonlinear Systems; Neural Net

obeisance 发表于 2025-3-22 13:23:06

Principle of Adaptive Dynamic Programming,nrestricted access. This allows unregistered users to read the abstract as a teaser for the complete chapter. As a general rule, the abstracts will not appear in the printed version of your book unless it is the style of your particular book or that of the series to which your book belongs. Please u

作茧自缚 发表于 2025-3-22 19:46:19

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含糊其辞 发表于 2025-3-22 22:44:11

Discrete-Time Optimal Control of Nonlinear Systems via Value Iteration-Based ,-Learning,ithm, the iterative . function is updated for all the states and controls in state and control spaces, instead of updating for a single state and a single control in the traditional .-learning algorithm. A new convergence criterion is established to guarantee that the iterative . function converges

LINES 发表于 2025-3-23 04:37:58

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无能的人 发表于 2025-3-23 07:51:22

Nonlinear Neuro-Optimal Tracking Control via Stable Iterative ,-Learning Algorithm,e nonlinear systems. The idea is to use an iterative adaptive dynamic programming (ADP) technique to construct the iterative tracking control law which makes the system state track the desired state trajectory and simultaneously minimizes the iterative . function. Via system transformation, the opti
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查看完整版本: Titlebook: Self-Learning Optimal Control of Nonlinear Systems; Adaptive Dynamic Pro Qinglai Wei,Ruizhuo Song,Xiaofeng Lin Book 2018 Science Press, Bei