Can I read Data-Driven Kalman Filter for Nonlinear Systems with Deep Neural Networks on EtoBox?

Data-Driven Kalman Filter for Nonlinear Systems with Deep Neural Networks by Linhai Li; Wei Jiang; Meiping Shi; Tao Wu is a book available to read on EtoBox.

What is Data-Driven Kalman Filter for Nonlinear Systems with Deep Neural Networks about?

"This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike."-- Provided by publisher.

Author

Linhai Li; Wei Jiang; Meiping Shi; Tao Wu

Publisher

Springer Singapore Pte. Limited; Springer

Published

2022

Language

EN

ISBN

9789811694929

Subjects

Engineering, Computer Science, Stem