Fuzzy control is a practical alternative for a variety of challenging control applications since it
provides a convenient method for constructing nonlinear controllers via the use of heuristic …

The world we live in is becoming ever more reliant on the use of electronics and computers
to control the behavior of real-world resources. For example, an increasing amount of …

Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

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 …

The gain-scheduling approach is perhaps one of the most popular non-linear control design
approaches which has been widely and successfully applied in fields ranging from …

Addresses the issue of stability of a fuzzy system described by fuzzy rules with singleton
consequents. It first presents two canonical forms of a fuzzy system: a parametric expression …

Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when
they are identified from experimental data. It is shown that there exists a close relationship …

Stable direct and indirect adaptive controllers are presented, which use Takagi-Sugeno
fuzzy systems, conventional fuzzy systems, or a class of neural networks to provide …

In this paper, by using the concept of sliding mode control design and Lyapunov synthesis
approach, we propose an indirect adaptive fuzzy sliding mode control (IAFSMC) scheme for …

This text is an introduction to Simulink, a companion application to MATLAB. It is written for
students at the undergraduate and graduate programs, as well as for the working …