Contents Recursive design in this book is composed of some simple basic steps. They are
referred to as “backstep** designs” because they step back toward the control input …

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 work proposes a novel combined model reference adaptive controller (MRAC) for
unknown multi input multi output (MIMO) LTI systems with guaranteed parameter …

This paper investigates fuzzy adaptive control schemes for a class of multi-input multi-output
(MIMO) unknown nonlinear systems with known and unknown sign of the control gain …

Most current studies of adaptive robot control concentrate on parameter convergence in the
steady state, while parameter convergence rates are rarely investigated. This paper …

In this paper, an adaptive fuzzy variable-structure controller is investigated for a class of
uncertain multi-input multi-output (MIMO) nonlinear time-delay systems with both sector …

This paper aims at investigating the fuzzy adaptive control design for uncertain multivariable
systems with unknown actuator nonlinearities and unknown control direction that possibly …

This article exposes that although some sensor-based nonlinear fault-tolerant control
frameworks including incremental nonlinear dynamic inversion control can passively resist a …

In this paper, a novel fuzzy adaptive controller is investigated for a class of multi-input multi-
output (MIMO) nonaffine systems with unknown control direction. An equivalent model in …

A neural control synthesis method is considered for a class of nonaffine uncertain single-
input-single-output (SISO) systems. The method eliminates a fixed-point assumption and …