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 presents a thorough review of control technologies that have been applied to
wastewater treatment processes in the environmental engineering regime in the past four …

A central challenge in computational modeling of biological systems is the determination of
the model parameters. Typically, only a fraction of the parameters (such as kinetic rate …

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 …

State estimation is important for the synthesis of nonlinear systems with stochastic
disturbances. This work devotes to tackling the optimal state estimation problem of logical …

This paper deals with on-line identification of continuous-time systems with structured
entries. Such entries, which may consist of inputs, perturbations or piecewise polynomial …

This paper presents a comparative analysis of various nonlinear estimation techniques
when applied for output feedback model-based control of batch crystallization processes …

Real time monitoring of physiological characteristics during a cultivation process is of great
importance in the pharmaceutical industry. Measuring biomass, product, substrate and …

Due to the consequences of globa l warming and significant greenhouse gas emissions,
several ideas have been studied to reduce these emissions or to suggest solut ions for …

This paper addresses the estimation of specific growth rate of microorganisms in bioreactors
using sliding observers. In particular, a second-order sliding observer based on biomass …