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Robotics provides the know-how on the foundations of robotics: modelling, planning and control. It covers mobile robots, visual control and motion planning. A variety of problems are worked through, and the tools to find engineering solutions are explained.
Following an introduction on system theory, this book shows the reader how to approach the system identification problem in a systematic fashion. It aims to teach students the fundamentals of systems identification without unduly complicated mathematics.
A comprehensive introduction to the most popular class of neural network, the multilayer perceptron, showing how it can be used for system identification and control.
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