As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

Twin rotor systems in many ways resemble helicopters and they are multiple-input multiple-
output (MIMO) systems, highly nonlinear, and there is significant cross-coupling between …

This paper proposed an adaptive explicit nonlinear model predictive control (AENMPC)
technique using multiple estimation models with a convex combination framework [18] for a …

In this paper, a composite control based on Active Disturbance Rejection Control (ADRC)
and Input Shaping is presented for TRMS with two degrees of freedom (DOF). The control …

Cloud providers have begun to allow users to bid for surplus servers on a spot market.
These servers are allocated if a user's bid price is higher than their market price and revoked …

Coupled nonlinear systems are difficult to control due to the adverse effects of uncertainties
and coupling effects with increased sensor noise. This paper proposes an improved …

In this paper, a recurrent neural network coupled with Kalman filter is proposed to identify
dynamic terms of robotic manipulator. By cooperating some inherent characteristics of robot …

Cam-follower mechanisms are key in various mechatronic applications to convert rotary to
linear reciprocating motions. The dynamic behavior of these systems relies on the design …

The rapid expansion of the Internet and communication technologies is leading to significant
changes in both society and the economy. This development is driving the evolution of smart …

This study achieves compensation of a physical twin rotor multiple‐input and multiple‐output
system in two steps:(i) input–output decoupling its transfer function model, obtained by …