Titlebook: Handbuch Hochtemperatur-Werkstofftechnik; Grundlagen, Werkstof Ralf Bürgel,Hans Jürgen Maier,Thomas Niendorf Book 20114th edition Der/die H

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Ralf Bürgel,Hans Jürgen Maier,Thomas Niendorfn optimized traffic flow.Nicely illustrated introductory boo.One of the next challenges in vehicular technology field is to improve drastically the road safety. Current developments are focusing on both vehicle platform and diverse assistance systems. This book presents a new engineering approach ba

只看該作者 · 發(fā)表于 2025-3-25 08:26:31

Ralf Bürgel,Hans Jürgen Maier,Thomas Niendorfakes mandatory the actions dangerous from the driver in complex situations such as in urban places. Second the driver shifts more and more his/her task to the monitoring and stays just as a back-up for the technological solution. Unfortunately he/she does not master adequate request as the human lea

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Ralf Bürgel,Hans Jürgen Maier,Thomas Niendorfanism and adaptive critic learning technique. The main idea is to combine the event-triggering mechanism with adaptive critic designs, so as to solve the nonlinear robust control problem under uncertain environment. This can not only make better use of computation and communication resources, but al

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retical and practical aspects and approaches of cryptographi.Cryptographic access control (CAC) is an approach to securing data by encrypting it with a key, so that only the users in possession of the correct key are able to decrypt the data and/or perform further encryptions. Applications of crypto

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Ralf Bürgel,Hans Jürgen Maier,Thomas Niendorfnt system is presented here to provide first an adequate feedback to the driver to let him recover a dangerous situation. Robust strategies are also presented for the intervention phase once the command vehicle has to be optimized to stay within the safety envelope..978-3-642-09388-3978-3-540-74474-0

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Ralf Bürgel,Hans Jürgen Maier,Thomas Niendorfpproximator of the learning phase. The performance of the event-triggered robust control strategy is verified via simulation studies and comparisons. The present method extends the application domain of both event-triggered control and adaptive critic learning control to nonlinear systems possessing

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