Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
Q and R elements in Linear Quadratic Regulator (LQR) optimization process. The weighting …
Algebraic approach for selecting the weighting matrices of linear quadratic regulator
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 …
quadratic regulator (LQR) for trajectory tracking application. One of the important problems …