Robust and Fault-Tolerant Control Neural-Network-Based Solutions /

Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictiv...

Full description

Bibliographic Details
Main Author: Patan, Krzysztof (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Systems, Decision and Control, 197
Subjects:
Control engineering.
Artificial intelligence.
Chemistry, Technical.
Automotive engineering.
Aerospace engineering.
Astronautics.
Control and Systems Theory.
Artificial Intelligence.
Industrial Chemistry.
Automotive Engineering.
Aerospace Technology and Astronautics.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Neural Networks
  • Robust and Fault-Tolerant Control
  • Model Predictive Control
  • Control Reconfiguration
  • Iterative Learning Control
  • Concluding Remarks and Further Research Directions.

Similar Items