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Overview: 978-3-531-12644-9978-3-322-91655-6absolve 发表于 2025-3-22 11:19:51
Gerhard Banse,Gotthard Bechmann chapter, a recurrent high order neural network is first used to identify the plant model, then based on this neural model, a discrete-time control law, which combines discrete-time block control and sliding modes techniques, is derived. The chapter also includes the respective stability analysis foCryptic 发表于 2025-3-22 14:25:15
Gerhard Banse,Gotthard Bechmannhigh order neural network structure is used to approximate a control law designed by the backstepping technique, applied to a block strict feedback form (BSFF). It also presents the respective stability analysis, on the basis of the Lyapunov approach, for the whole scheme including the extended Kalmlaparoscopy 发表于 2025-3-22 20:41:24
,Interdisziplinäre Risikoforschung — Topics und Sichtweisen,schiedene Bereiche (“topics”). Diese werden von verschiedenen disziplinaren Sichtweisen und konzeptionellen Ansätzen her, die — aus spezifischen gesellschaftlichen Problemlagen entstanden — jeweils differierende Sachverhalte der Risikoproblematik thematisieren, Forschungsstrategien favorisieren, metSigmoidoscopy 发表于 2025-3-23 00:22:57
Gerhard Banse,Gotthard Bechmannon 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知识 发表于 2025-3-23 01:50:16
Gerhard Banse,Gotthard Bechmannunctions of state variables are selected recursively as virtual control inputs for lower dimension subsystems of the overall system . 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 controlCoronary-Spasm 发表于 2025-3-23 06:13:21
Alphabetische Bibliographie (vorwiegend deutschsprachiger Risikoliteratur seit etwa 1980),