Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks

A Rahideh, AH Bajodah, MH Shaheed - Engineering Applications of …, 2012 - Elsevier
This paper investigates the development and experimental implementation of an adaptive
dynamic nonlinear model inversion control law for a Twin Rotor MIMO System (TRMS) using …

Prediction of transportation costs using trapezoidal neutrosophic fuzzy analytic hierarchy process and artificial neural networks

A Singh, A Das, UK Bera, GM Lee - IEEE Access, 2021 - ieeexplore.ieee.org
Transportation is one of the critical functions in any business, and its cost depends on many
constraints, including driver behavior, weather, distance, and demand in the market. This …

Input shaping enhanced active disturbance rejection control for a twin rotor multi-input multi-output system (TRMS)

X Yang, J Cui, D Lao, D Li, J Chen - ISA transactions, 2016 - Elsevier
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 …

Robust adaptive fuzzy control of twin rotor MIMO system

M Jahed, M Farrokhi - Soft Computing, 2013 - Springer
This paper considers designing an adaptive fuzzy controller to position the yaw and pitch
angles of a twin rotor MIMO system (TRMS) in two degrees of freedom. The goal of the …

Adaptive feedback linearization control for twin rotor multiple-input multiple-output system

NV Chi - International Journal of Control, Automation and …, 2017 - Springer
This paper deals with the tracking problem of a twin rotor multiple-input multiple-output
system (TRMS) described by an Euler-Lagrange forced model with constant uncertain …

Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system

SF Toha, MO Tokhi - 2009 Third UKSim European Symposium …, 2009 - ieeexplore.ieee.org
A dynamic control system design has been a great demand in the control engineering
community, with many applications particularly in the field of flight control. This paper …

Stabilizing global mean surface temperature: A feedback control perspective

A Jarvis, D Leedal, CJ Taylor, P Young - Environmental Modelling & …, 2009 - Elsevier
In this paper, we develop a discrete time, state variable feedback control regime to analyze
the closed-loop properties associated with stabilizing the global mean surface temperature …

PID and inverse-model-based control of a twin rotor system

SF Toha, MO Tokhi - Robotica, 2011 - cambridge.org
The use of active control techniques has intensified in various control applications,
particularly in the field of aircraft systems. This paper presents an investigation into the …

Model predictive control of a nonlinear laboratory twin rotor aero-dynamical system

DA Duţescu, MB Radac… - 2017 IEEE 15th …, 2017 - ieeexplore.ieee.org
Model predictive control (MPC) represents a powerful technique for controlling a system that
has an accurate mathematical model for describing its behavior. MPC implies solving an …

Neural network based adaptive nonlinear model inversion control of a twin rotor system in real time

A Rahideh, MH Shaheed… - 2008 7th IEEE …, 2008 - ieeexplore.ieee.org
A real time adaptive nonlinear model inversion controller is implemented on a twin rotor
multi-input-multi-output system (TRMS) using artificial neural networks. The TRMS is an …