Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

This paper proposes the Virtual Reference Feedback Tuning (VRFT) of a combination of two
control algorithms, Active Disturbance Rejection Control (ADRC) as a representative data …

This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …

Model-Free Adaptive Control (MFAC) is a control strategy that eliminates the need for prior
knowledge of the system model by leveraging online data to learn the system dynamics and …

This paper presents the application of the tensor product (TP)‐based model transformation
approach to produce Tower CRrane (TCR) systems models. The modeling approach starts …

In this article, a data-driven control strategy with prescribed performance is proposed to
address the distributed bipartite consensus problem for unknown nonlinear multiagent …

A novel mix of two data-driven algorithms is proposed in this paper. The mix of the
algorithms aims to exploit the main advantage of data-driven Virtual Reference Feedback …

Conventionally, researchers have favored the model-based control scheme for controlling
gantry crane systems. However, this method necessitates a substantial investment of time …

This paper is focused on data-driven fault-tolerant control for nonlinear systems with output
saturation. A modified observer with measurement output is built to approximate sensor fault …

As a flexible transportation equipment, the dual ship-mounted crane (DSMC) systems are
widely used to transport cargos/goods under complex marine and harbor environments …