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书目名称Self-Learning Optimal Control of Nonlinear Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0864474<br><br> <br><br>书目名称Self-Learning Optimal Control of Nonlinear Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0864474<br><br> <br><br>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 2198-4190Chivalrous 发表于 2025-3-22 02:25:03
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https://doi.org/10.1007/978-981-10-4080-1Intelligence Control; Adaptive Dynamic Programming; Self-Learning Control; Nonlinear Systems; Neural Netobeisance 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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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 convergesLINES 发表于 2025-3-23 04:37:58
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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