Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm

A Mohammadi, H Asadi, S Mohamed… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Driving simulators are effective tools for training, virtual prototy**, and safety assessment
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …

A new robust adaptive mixing control for trajectory tracking with improved forward flight of a tilt-rotor UAV

DN Cardoso, S Esteban, GV Raffo - ISA transactions, 2021 - Elsevier
A new robust adaptive mixing control (RAMC) is proposed in order to accomplish trajectory
tracking of a tilt-rotor unmanned aerial vehicle (UAV) configuration. This kind of system is a …

Design of Flight Control System for a Novel Tilt‐Rotor UAV

Z Chen, H Jia - Complexity, 2020 - Wiley Online Library
This paper presents the control system design process of a novel tilt‐rotor unmanned aerial
vehicle (TRUAV). First, a new configuration scheme with the tilting rotors is designed. Then …

A model-driven multivariable controller for vapor compression refrigeration systems

LC Schurt, CJL Hermes, AT Neto - international journal of refrigeration, 2009 - Elsevier
A model-driven controller for vapor compression refrigeration systems is presented herein.
Mathematical sub-models were developed for each of the system components: heat …

Process control: an overview and personal perspective

DG Fisher - The Canadian Journal of Chemical Engineering, 1991 - Wiley Online Library
This paper presents an overview and personnal perspective on recent developments and
current practice in computer process model. The basic concepts behind conventional …

Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization

K Hassani, WS Lee - Applied Soft Computing, 2016 - Elsevier
A novel and generic multi-objective design paradigm is proposed which utilizes quantum-
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …

Biogeography based optimal state feedback controller for frequency regulation of a smart microgrid

S Mishra, G Mallesham… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Development of “Q” and “R” matrices for designing a Linear Quadratic Regulator (LQR) is
still a research challenge. The theory says they should belong to the group of positive …

Suspended load path tracking control using a tilt-rotor UAV based on zonotopic state estimation

BS Rego, GV Raffo - Journal of the Franklin Institute, 2019 - Elsevier
This work addresses the problem of path tracking control of a suspended load using a tilt-
rotor UAV. The main challenge in controlling this kind of system arises from the dynamic …

Optimal feedback control design using genetic algorithm in multimachine power system

I Robandi, K Nishimori, R Nishimura… - International journal of …, 2001 - Elsevier
This paper introduces an application of genetic algorithm (GA) to design weighting matrices
Q and R elements in Linear Quadratic Regulator (LQR) optimization process. The weighting …

Algebraic approach for selecting the weighting matrices of linear quadratic regulator

EV Kumar, J Jerome, K Srikanth - … international conference on …, 2014 - ieeexplore.ieee.org
This paper proposes an algebraic approach for selecting the weighting matrices of linear
quadratic regulator (LQR) for trajectory tracking application. One of the important problems …