In this article, we propose a concise fuzzy neural control framework for waverider vehicles
with input constraints, while the spurred prescribed performance can be guaranteed, and the …

In this paper, an online optimization approach of a fractional-order PID controller based on a
fractional-order actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID …

This article is concerned with the optimized tracking control problem of high-order strict-
feedback nonlinear systems with full-state constraints via dynamical event-triggered …

Affected by multiple operation conditions, wastewater treatment process (WWTP) is a
complex industrial process with strong nonlinearity and disturbance. How to enhance the …

Interval type-2 fuzzy neural networks (IT2FNNs) usually stack adequate fuzzy rules to
identify nonlinear systems with high-dimensional inputs, which may result in an explosion of …

In this paper, a novel self-organizing fuzzy neural network with an adaptive learning
algorithm (SOFNN-ALA) for nonlinear system modeling and identification in industrial …

In this paper, we propose a method to judge the degree of the relationship closeness
between system input variables and theoretical output through independence test, and …

In this article, a novel Hammerstein structure is proposed for nonlinear networked systems
based on an interval type-2 Takagi–Sugeno–Kang (IT2TSK) fuzzy system. The proposed …

For the current paper, the technique of feed-forward neural network deep learning controller
(FFNNDLC) for the nonlinear systems is proposed. The FFNNDLC combines the features of …

This paper presents an event-triggered neural adaptative backstepping control method for
the K chaotic permanent magnet synchronous generators (PMSGs) coupled system. The …