At the end of 1960s and the beginning of 1970s, when the Russian version of this book was
written, the'general theory of random processes' did not operate widely with such notions as …

At the end of 1960s and the beginning of 1970s, when the Russian version of this book was
written, the'general theory of random processes' did not operate widely with such notions as …

Fault diagnosis is very critical for battery management systems. This paper proposes a fault
diagnosis method for voltage sensor and current sensor in Lithium-ion battery pack system …

Stochastic Filtering Theory uses probability tools to estimate unobservable stochastic
processes that arise in many applied fields including communication, target-tracking, and …

This book focuses on two-time-scale Markov chains in discrete time. Our motivation stems
from existing and emerging applications in optimization and control of complex systems in …

This paper focuses on the dissipativity-based asynchronous filtering problem for a class of
discrete-time Takagi-Sugeno fuzzy Markov jump systems subject to randomly occurred …

This paper is concerned with the problems of dynamic practical-sliding-mode control (SMC)
and estimation of unknown functions for singular Markovian jump systems (MJSs) with …

The peak-to-peak filtering problem is studied for a class of Markov jump systems with
uncertain parameters. By re-constructing the system, the dynamic filtering error system is …

When particle filters are used for fault detection, they have the problem of sample
impoverishment, which means there are not enough particles that can transition to a rare …

We address optimal path planning in three dimensional space for an unmanned aerial
vehicle (UAV) in the stationary risk environment. We separate the task into two stage, in the …