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 provides an overview of nonlinear state estimation techniques along with a
discussion on the challenges and opportunities for future work in the field. Emphasis is given …

We propose nonlinear observers for a class of biotechnological processes. These observers
are an extension of the open loop asymptotic observers (observers with unknown inputs) …

This paper concentrates on the state observation in bioprocesses when there is uncertainty
on the process parameters and/or the process inputs. An interval observer is designed on …

Based on intervals bounding the uncertain initial conditions, inputs, model parameters and
measurements, interval observers provide guaranteed intervals for the state trajectory …

The problem of state estimation (reconstruction of the state vector) for a given class of
biochemical systems under uncertain system dynamics has been addressed in this paper. In …

In this paper, we design dynamic event‐triggered interval functional observers (FOs) for
interconnected systems comprising MM (M≥ 2)\left (M ≥ 2\right) subsystems where each …

This paper deals with the network-based robust distributed state estimation problem of a
class of discrete-time positive systems with bounded parameter perturbation and bounded …

The activated sludge process (ASP), found in most wastewater treatment plants, consists
basically of a biological reactor followed by a sedimentation tank, which has one inlet and …

A fault detection innovation to wind turbines' pitch actuators is an important subject to
guarantee the efficiency wind energy conversion and long lifetime operation of these …