… and autonomous systems, cyber-physical systems which … optimization, Bayesian networks
for uncertain reasoning, support … neural network and its latest evolution, deep neural network. …

… behavior by combining decision (intelligence), perception (sensory … It recognizes that an
autonomous system must maintain … Traditional discrete event formalisms incorporate uncertainty …

… Then, we can establish models for problems with uncertainty. … neural network makes inferences
and autonomous decisions … train a more robust unmanned system online by combining …

… Several control strategies based on robust control, neural networks, and other methods …
with the uncertainty of the system to improve stability. In this paper, the flight control strategies of …

… , and we build the autonomous system for robot to know what … and deal with image features
with uncertainties by Successive … G𝑧 which is also a neural network, and minimize a l2-norm …

… Liu X, Li W, Tu YL et al (2011) An expert system for an emergency response management
in networked safe service systems. Expert Syst Appl 38 (9): 11928–11938 433. Liu X, Liu Y, …

… is addressed to reduce the uncertainty in rapid localization of … [23] , neural networks [32]
and reinforcement learning [88]. … fails to generate a safe path within a bounded time, collisions …

… WANG Baoxian, JIAN Jigui, SHEN Yanjun 1110 Delay-dependent finite-time Hю filtering for
networked control systems: A switched system approach ........... WU YuanQing, SU Hongye, …

… with neural network architectures improve the computational abilities of unmanned systems
to … to consider these situations where the uncertainty of the system may allow the vehicle to …

… First, to reveal the multiple uncertain factors affecting the … is related only to the upper bound
of energy consumption. In our … Perception and navigation in autonomous systems in the era …