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Titlebook: Discrete-Time High Order Neural Control; Trained with Kalman Edgar N. Sanchez,Alma Y. Alanís,Alexander G. Louki Book 2008 Springer-Verlag

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樓主: 揭發(fā)
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發(fā)表于 2025-3-25 06:07:06 | 只看該作者
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發(fā)表于 2025-3-25 19:54:14 | 只看該作者
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發(fā)表于 2025-3-25 21:16:41 | 只看該作者
Sustainability Conflicts in Coastal Indiaunctions of state variables are selected recursively as virtual control inputs for lower dimension subsystems of the overall system [12]. Each backstepping stage results in a new virtual control designs from the preceding design stages. When the procedure ends, a feedback design for the true control
26#
發(fā)表于 2025-3-26 01:27:25 | 只看該作者
Sustainability Conflicts in Coastal Indiaon of the dynamic system is named as the model. Basically there are two ways to obtain a model; it can be derived in a deductive manner using physics laws, or it can be inferred from a set of data collected during a practical experiment. The first method can be simple, but in many cases it is excess
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發(fā)表于 2025-3-26 12:02:52 | 只看該作者
1860-949X while extensive literature is available for linear discrete-timecontrolsystem,nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, d978-3-642-09695-2978-3-540-78289-6Series ISSN 1860-949X Series E-ISSN 1860-9503
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發(fā)表于 2025-3-26 13:02:21 | 只看該作者
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發(fā)表于 2025-3-26 18:20:28 | 只看該作者
Discrete-Time Adaptive Neural Backstepping,unctions of state variables are selected recursively as virtual control inputs for lower dimension subsystems of the overall system [12]. Each backstepping stage results in a new virtual control designs from the preceding design stages. When the procedure ends, a feedback design for the true control
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