Observers are computational algorithms designed to estimate unmeasured state variables
due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant …

This paper considers fault detection and estimation issues for a class of nonlinear systems
with uncertainty, using an equivalent output error injection approach. A particular design of …

Extended state observer acting as a popular tool can estimate the system states and total
disturbances simultaneously. However, for extended-state-observer-based control of high …

This paper presents a fault detection and isolation (FDI) scheme for a class of Lipschitz
nonlinear systems with nonlinear and unstructured modeling uncertainty. This significantly …

Wind turbine pitch systems are essential for actuating desired blade angles and hence to
keep the generator at rated speed in operation region 3. In the presence of parametric pitch …

This paper considers the problem of designing an observer for a linear system subject to
unknown inputs. This problem has been extensively studied in the literature with respect to …

Develo** the essential theory for architecting and tackling issues faced during complex
realistic engineering problems, this volume focuses on enhanced anti-disturbance control …

In this paper, a new method for state estimation, referred to as the smooth variable structure
filter (SVSF), is presented. The SVSF method is model based and applies to smooth …

This article highlights the interest of step-by-step higher order sliding mode observers for
Multi-Input Multi-Output (MIMO) nonlinear systems with unknown inputs. A structural …

The estimation of unknown inputs and/or disturbances has been a topic of constant interest
in control engineering for the past several decades; see [1] for a detailed survey on the …