A most critical and important issue surrounding the design of automatic control systems with
the successively increasing complexity is guaranteeing a high system performance over a …

This book is rather broad in that it covers many disciplines regarding both mathematical
tools (algebra, calculus, statistics) and application areas (airborne, automotive …

This paper addresses the problem of simultaneously estimating the state and the input of a
linear discrete-time system. A recursive filter, optimal in the minimum-variance unbiased …

Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

The theory of linear functional observers, which is the subject of this book, is increasingly
becoming a popular researched topic because of the many advantages it presents in state …

The classical recursive three‐step filter can be used to estimate the state and unknown input
when the system is affected by unknown input, but the recursive three‐step filter cannot be …

In this paper, we address the system identification problem in the context of biological
modelling. We present and demonstrate a methodology for (i) assessing the possibility of …

In this paper, for a linear system with unknown input, a novelty unknown input observer
(UIO) which can produce the asymptotic system state estimation and unknown input …

This paper systematically studies the minimum input sensitivity analysis problem. The lowest
level of sensitivity of system outputs to system inputs is defined as an H-index. A full …

We consider the problem of function of state plus unknown input estimation of a linear time-
invariant system using only the measured outputs. Two reduced-order input estimators built …