Robust tracking control of aerial robots via a simple learning strategy-based feedback linearization
To facilitate accurate tracking in unknown/uncertain environments, this paper proposes a simple learning (SL) strategy for feedback linearization control (FLC) of aerial robots subject to uncertainties. The SL strategy minimizes a cost function defined based on the closed-loop error dynamics of the...
Main Authors: | Mehndiratta, Mohit, Kayacan, Erkan, Reyhanoglu, Mahmut, Kayacan, Erdal |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145877 |
Similar Items
-
Can deep models help a robot to tune its controller? : A step closer to self-tuning model predictive controllers
by: Mehndiratta, Mohit, et al.
Published: (2022) -
A constrained instantaneous learning approach for aerial package delivery robots : onboard implementation and experimental results
by: Mehndiratta, Mohit, et al.
Published: (2020) -
Numerical investigation of Gaussian filters with a combined type Bayesian filter for nonlinear state estimation
by: Mehndiratta, Mohit, et al.
Published: (2018) -
Receding horizon-based fault-tolerant control of QuadPlus : an over-actuated quadrotor
by: Mehndiratta, Mohit, et al.
Published: (2022) -
Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters
by: Mehndiratta, Mohit, et al.
Published: (2020)