This article investigates the adaptive fuzzy output-feedback backstepping control design
problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual …

This chapter is devoted to the design of adaptive controllers for dynamical systems that
operate in the presence of parametric uncertainties and bounded noise. Four MRAC design …

Implementation of adaptive backstepping controllers requires analytic calculation of the
partial derivatives of certain stabilizing functions. It is well documented that, as the order of a …

In this document, we present the main ideas and results concerning high‐gain observers
and some of their applications in control. The introduction gives a brief history of the topic …

Recent years have seen a rapid development of neural network control tech niques and
their successful applications. Numerous simulation studies and actual industrial …

Adaptive control is a control methodology capable of dealing with uncertain systems to
ensure desired control performance. This paper provides an overview of some fundamental …

This article reports our study on a reduced adaptive fuzzy decoupling control for our lower
limb exoskeleton system which typically is a multi-input-multi-output (MIMO) uncertain …

It is shown that the performance of a globally bounded partial state feedback control of a
certain class of nonlinear systems can be recovered by a sufficiently fast high-gain observer …

Sliding mode observers have unique properties, in that the ability to generate a sliding
motion on the error between the measured plant output and the output of the observer …

We consider a tracking problem for a partially feedback linearizable nonlinear system with
stable zero dynamics. The system is uncertain and only the output is measured. We use an …