Dynamic Neural Networks for Robot Systems Data Driven and Model Based Applications is popular PDF and ePub book, written by Long Jin in 2024-07-24, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Dynamic Neural Networks for Robot Systems Data Driven and Model Based Applications can be Read Online from any device for your convenience.
Dynamic Neural Networks for Robot Systems Data Driven and Model Based Applications Book PDF Summary
Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.
Detail Book of Dynamic Neural Networks for Robot Systems Data Driven and Model Based Applications PDF
- Author : Long Jin
- Release : 24 July 2024
- Publisher : Frontiers Media SA
- ISBN : 9782832552018
- Genre : Science
- Total Page : 301 pages
- Language : English
- PDF File Size : 20,6 Mb
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