This article presents a hybrid metaheuristic optimization algorithm that combines particle
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …

Evolving systems unfolds from the interaction and cooperation between systems with
adaptive structures, and recursive methods of machine learning. They construct models and …

This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm,
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …

This paper investigates the finite-time adaptive fuzzy control problem for a class of multi-
input and multi-output (MIMO) nonlinear nonstrict feedback systems. During the control …

This article investigates an adaptive practical fixed-time control strategy for the output
tracking control of a class of strict feedback nonlinear systems. By utilizing a backstepping …

Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …

The adaptive fuzzy finite-time tracking control problem of a class of switched nonlinear
systems is investigated in this study. Fuzzy logic systems are introduced to handle the …

This article applies an incremental online identification algorithm to develop a set of evolving
fuzzy models (FMs) that characterize the nonlinear finger dynamics of the human hand for …

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 article focuses on an adaptive fuzzy dynamic event-triggered tracking control for
nonlinear time-delay systems with unmodeled dynamics via a command filter method. Fuzzy …