[HTML][HTML] Tutorial and review on the state-dependent Riccati equation
SR Nekoo - Journal of Applied Nonlinear Dynamics, 2019 - lhscientificpublishing.com
This paper presents an extensive tutorial and a complete review on the state-dependent
Riccati equation (SDRE). The review covers contributions from the beginning to (near the …
Riccati equation (SDRE). The review covers contributions from the beginning to (near the …
[HTML][HTML] Robust optimal adaptive trajectory tracking control of quadrotor helicopter
This paper focuses on robust optimal adaptive control strategy to deal with tracking problem
of a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties …
of a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties …
Trajectory tracking of under-actuated quadcopter using Lyapunov-based optimum adaptive controller
In this article, optimum adaptive sliding mode controller (ASMC) optimized by particle swarm
optimization (PSO) algorithm is designed to solve the trajectory tracking control problems of …
optimization (PSO) algorithm is designed to solve the trajectory tracking control problems of …
[HTML][HTML] Quadcopter neural controller for take-off and landing in windy environments
This paper proposes the design of a quadcopter neural controller based on Reinforcement
Learning (RL) for controlling the complete maneuvers of landing and take-off, even in …
Learning (RL) for controlling the complete maneuvers of landing and take-off, even in …
Spacecraft quaternion based attitude input-output feedback linearization control using reaction wheels
M Navabi, MR Hosseini - 2017 8th International conference on …, 2017 - ieeexplore.ieee.org
The aim of this paper is attitude control of spacecraft utilizing nonlinear control feedback
linearization. Input-output linearization is a technique of feedback linearization theory. In this …
linearization. Input-output linearization is a technique of feedback linearization theory. In this …
Development of control algorithm for a quadcopter
A Tagay, A Omar, MH Ali - Procedia Computer Science, 2021 - Elsevier
Nowadays, drones are popular with their multipurpose functioning. They can be applied in
different environments, especially those that are harmful and can cause health hazards to …
different environments, especially those that are harmful and can cause health hazards to …
Deep learning based system identification of quadcopter unmanned aerial vehicle
BP Amiruddin, E Iskandar, A Fatoni… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Acquiring the systems' model is a significant stride of controller design and development.
Nevertheless, it is arduous sometimes to estimate a real-world system model such as a …
Nevertheless, it is arduous sometimes to estimate a real-world system model such as a …
Optimized thrust allocation of variable-pitch propellers quadrotor control: A comparative study on flip maneuver
Variable-pitch propellers quadrotors possess nonlinear algebraic relations between
force/moment of the system and thrust factors of the rotor dynamics. The nonlinear relations …
force/moment of the system and thrust factors of the rotor dynamics. The nonlinear relations …
Evaluation of control techniques for quadcopter UAV attitude tracking
This paper evaluates the performance of six controllers used for the attitude tracking of the
quadcopter. The evaluation is done by testing the tracking performance and robustness of …
quadcopter. The evaluation is done by testing the tracking performance and robustness of …
Design an omnidirectional autonomous mobile robot based on non‐linear optimal control to track a specified path
This paper explores two non‐linear control techniques for designing an effective control
system for an omnidirectional autonomous mobile robot with four Mecanum wheels. Due to …
system for an omnidirectional autonomous mobile robot with four Mecanum wheels. Due to …