Feasible, Robust and Reliable Automation and Control for Autonomous Systems

Edited by
September 2022
232 pages
  • ISBN978-3-0365-5075-6 (Hardback)
  • ISBN978-3-0365-5076-3 (PDF)

This book is a reprint of the Special Issue Feasible, Robust and Reliable Automation and Control for Autonomous Systems that was published in

Computer Science & Mathematics
Physical Sciences

The Special Issue book focuses on highlighting current research and developments in the automation and control field for autonomous systems as well as showcasing state-of-the-art control strategy approaches for autonomous platforms.  The book is co-edited by distinguished international control system experts currently based in Sweden, the United States of America, and the United Kingdom, with contributions from reputable researchers from China, Austria, France, the United States of America, Poland, and Hungary, among many others. The editors believe the ten articles published within this Special Issue will be highly appealing to control-systems-related researchers in applications typified in the fields of ground, aerial, maritime vehicles, and robotics as well as industrial audiences.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
neuron PID; Kalman filtering; omnidirectional mobile robot; implementations; anti-windup; fault tolerance; reconfigurable control; Maglev; neural networks; artificial intelligence; unmanned tracked vehicle; inertial parameters; vehicle-terrain interaction; identification; recursive least square with exponential forgetting; generalized Newton–Raphson; Unscented Kalman Filter; lane keeping control (LKC); non-smooth finite-time control; previewed tracking; error weight superposition; electric vehicle (EV); ODD-based AD function design; path tracking; path planning; software architecture; interface design; autonomous vehicle; advanced driver-assistance system; LPV approach; robust control; cruise control; semi-active suspension control; passenger comfort; automated vehicles; ADAS/AD functions; C-ITS; IVIM; infrastructure assistance; routing recommendations; autonomous driving; active learning; formal methods; model-based engineering; automata learning; unmanned vehicle; nonlinear model prediction controller; trajectory tracking; outdoor field test; vehicle following; path following; path tracking; splines; spline approximation; n/a

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