… Despite its omnipresence, robustness is not entirely … is to report on the topic of robustness
from a variety and diverse … applies to make systems robust and arguably “intelligent” and how …

This book is based on the Association for the Advancement of Artificial Intelligence (AAAI)
Symposium on “The Intersection of Robust Intelligence (RI) and Trust in Autonomous Systems”…

… limiting structural capabilities of intelligent control systems. The … of robust intelligent control
systems in actual control systems … the robustness level of intelligent control systems by using …

… This work aims to use deep learning to construct a robust intelligent system for detecting
tomato crop diseases to help farmers and agricultural workers by comparing the performance of …

… technique is employed to construct the intelligent robust stabilization controller such that an
… is to find an intelligent (adaptive fuzzy-based or neural network-based) robust controller to …

… intelligent uncertainty function to improve the robust stability and performance of H∞ controlled
system … nonlinear control systems theory and applications, intelligent systems, signal and …

… different ways in which systems may fail. We contend that intelligent systems require only a
… attached to any host system to improve the robustness of that system. Several implemented …

… system may differ from their nominal values we present sufficient conditions of the robustness
for the real systems. … Instead we propose to use an intelligent controller which takes into …

… This paper proposes a novel robust and intelligent cyber-attack detection model to cover
the issues mentioned above using the concept of heavy-hitter and graph technique to detect …

… This report describes a generalized design strategy of intelligent robust control systems
based on quantum/soft computing technologies that enhance robustness of hybrid intelligent …