In this article, the event-triggered saturation-tolerant control problem of nonlinear multiagent
systems (MASs) is investigated based on the finite-time fuzzy composite learning approach …

This letter presents innovative data-driven model predictive control methods for unknown
linear time-invariant systems. Two distinct approaches, both utilizing only input and state …

Three-level T-type converters are necessary interfaces for distributed energy resources to
interact with the public grid. Naturally, designing a control strategy, featuring superior …

This paper introduces a data-driven approach to address the long-standing challenge of
modeling complex tensegrity systems. The proposed approach focuses on approximating …

In this article, the time-varying formation control problem for heterogeneous TS fuzzy
multiagent systems (MASs) is investigated from the perspective of settling time. A leader …

This article develops a method to address the observer-based fuzzy control for a class of
discrete-time nonlinear networked control systems under multichannel attacks, in which …

The objective was to investigate the impacts of the robot's dynamic affective expressions in
task-related scenarios on human–robot collaboration (HRC) and performance in human …

A Fuzzy Sliding Mode (FSM) tracking approach is proposed via Interval Type-2 (IT-2) Takagi-
Sugeno Fuzzy Model (T-SFM) to complete Formation and Containment (F-and-C) tasks for …

In this paper, the problem of direct data-driven control is studied for a class of discrete-time
switched systems with input saturation. For unknown switched systems, a data-driven …

In this paper, we introduce a decentralized algorithm for pursuing an evader with identical
motion capabilities in environments with obstacles. Initially, we propose the Safe Pursuit …