In this article, an adaptive fuzzy control design strategy is presented for-norm nontriangular
stochastic high-order nonlinear systems with asymmetric output constraints and unknown …

This article investigates the adaptive fuzzy control design for p-norm stochastic high-order
lower triangular nonlinear systems with output constraints and unknown nonlinearities. First …

This paper considers the control problem of p-norm stochastic nonlinear systems with output
constraints, while the system nonlinearities are completely unknown and the system states …

In this study, the problem of adaptive multi‐dimensional Taylor network (MTN) control for
single‐input single‐output (SISO) uncertain stochastic non‐linear systems is investigated …

The present article focuses on an input-to-state stability (ISS) problem of nonlinear strict-
feedback system with time-varying full-state constraints. The adaptive neural controllers are …

In this paper, adaptive tracking control problem is investigated for a class of switched
stochastic nonlinear systems with an asymmetric output constraint. By introducing a …

The event-triggered tracking control for large-scale high order nonlinear uncertain systems,
whose state information is immeasurable, is investigated via an observer-based approach …

This paper focuses on the adaptive finite-time tracking control problem for a class of nonstrict-
feedback switched nonlinear systems with unknown nonsymmetric actuator dead-zone. By …

This paper studies the problem of decentralized adaptive neural backstepping control for a
class of high-order stochastic nonlinear systems with unknown strongly interconnected …

This paper focuses on an adaptive decentralized prescribed performance control problem
for a class of large‐scale stochastic nonlinear systems with asymmetric input saturation and …