The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …

The aim of this paper is to study an adaptive neural finite-time resilient dynamic surface
control (DSC) strategy for a category of nonlinear fractional-order large-scale systems …

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

An adaptive fuzzy control strategy is proposed for a single-link flexible-joint robotic
manipulator (SFRM) with prescribed performance, in which the unknown nonlinearity is …

In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

In this article, the issue of neural adaptive decentralized finite-time prescribed performance
(FTPP) control is investigated for interconnected nonlinear time-delay systems. First, to …

This paper studies the problem of fuzzy adaptive event-triggered control for a class of pure-
feedback nonlinear systems, which contain unknown smooth functions and unmeasured …

This article devotes to investigating the issue of fuzzy adaptive control for a class of strict-
feedback nonlinear systems with nonaffine nonlinear faults. The computational complexity is …

This article is concerned with the finite-time containment control problem for nonlinear
multiagent systems, in which the states are not available for control design and the control …

In this article, an event-triggered robust fuzzy adaptive prescribed performance finite-time
control strategy is presented for a class of strict-feedback nonlinear systems with external …