We review the main design techniques of state observer design for continuous-time
dynamical systems, namely algorithms which reconstruct online the full information of a …

This survey of model-based fault diagnosis focuses on those methods that are applicable to
aerospace systems. To highlight the characteristics of aerospace models, generic non-linear …

Nonlinear and Adaptive Control with Applications provides a detailed treatment of the
design of robust adaptive controllers for nonlinear systems with uncertainties. The authors …

Valve dynamics play an important role in the high-dynamic tracking performance of
hydraulic systems. However, how to effectively compensate them remains an issue. From …

In this paper we propose a new state observer design technique for nonlinear systems. It
consists of an extension of the recently introduced parameter estimation-based observer …

This paper deals with two topics from state and parameter estimation. The first contribution of
this work provides an overview of techniques used for determining which parameters of a …

In this article, we consider the problem of fixed-time observer for nonlinear systems, that is a
finite-time observer whose settling time can be bounded independently of the initial …

The present thesis explores the use of non-linear state errors to devise extended Kalman
filters (EKFs). First we depart from the theory of invariant observers on Lie groups and …

Many machine learning approaches for decision making, such as reinforcement learning,
rely on simulators or predictive models to forecast the time-evolution of quantities of interest …

A novel approach to the problem of partial state estimation of nonlinear systems is proposed.
The main idea is to translate the state estimation problem into one of estimation of constant …