In this paper, we present an overview of adaptive control by contrasting model‐based
approaches with data‐driven approaches. Indeed, we propose to classify adaptive …

The strategy for energy management (EM) of a hybrid electric vehicle (HEV) has a
considerable impact on the vehicle fuel economy. One well-known EM strategy is the …

Based on the equivalent consumption minimization strategy (ECMS), a novel real-time
energy management (EM) strategy for parallel hybrid electric vehicles (HEVs) is introduced …

This paper presents the theoretical results on sliding mode control (SMC) of neural networks
via continuous or periodic sampling event-triggered algorithm. Firstly, SMC with continuous …

This brief proposes an adaptive sliding mode control law for an underactuated vessel via
parameter estimation to follow a desired path. An adaptive continuous PI sliding mode …

A microscopic fuel consumption model with respect to comprehensive fuel consumption key
impact factors that can reflect dynamic engine operations and various real-world driving …

The problem of nonaffine time-varying nonlinear control systems is addressed in this paper
through an adaptive state-space neuro-fuzzy control scheme. It combines an eight-layered …

Sliding mode control (SMC) is a robust and computationally efficient solution for tracking
control problems of highly nonlinear systems with a great deal of uncertainty. High frequency …

This work presents a hybrid position/force control of robots aimed at handling applications
using multi-task and sliding mode ideas. The proposed robot control is based on a novel …

Sliding mode control (SMC) is a robust and computationally efficient model-based controller
design technique for highly nonlinear systems, in the presence of model and external …