The wind energy sector has faced remarkable growth during the last twenty years in view of
tackling the global energy consumption rise and the adverse effects of fossil fuels on …

In this paper, an intelligent Model Reference Adaptive Control (MRAC) based on a neural
network is proposed for robust tracking control of quadrotor UAV under external …

Modern multi-megawatt wind turbines are currently designed as pitch-regulated machines,
ie, machines that use the rotation of the blades (pitching) in order to adjust the aerodynamic …

The contextual bandit literature has traditionally focused on algorithms that address the
exploration–exploitation tradeoff. In particular, greedy algorithms that exploit current …

The major premise of deterministic artificial intelligence (DAI) is to assert deterministic self-
awareness statements based in either the physics of the underlying problem or system …

This study presents a control design of an angular position for the exoskeleton knee
assistance system based on a model reference adaptive control (MRAC) strategy. Three …

In this paper, we introduce a data-driven control design method that does not rely on a
model of the plant. The method is inspired by the Virtual Reference Feedback Tuning …

Modern, torque-controlled service robots can regulate contact forces when interacting with
their environment. Model Predictive Control (MPC) is a powerful method to solve the …

This paper focuses on the adaptive fixed-time quantized fault-tolerant attitude tracking
problem for hypersonic reentry vehicle (HRV). Due to the strong nonlinearity, tight coupling …

The effective online monitoring of thermal performance is the principal criterion that
determines the Loss-of-Life (LoL), ageing rate, and loading capability of the transformer. To …