Iterative Self-Tuning Minimum Variance Control of a Nonlinear Autonomous Underwater Vehicle Maneuvering Model
This paper addresses the problem of control design for a nonlinear maneuvering model of an autonomous underwater vehicle. The control algorithm is based on an iteration technique that approximates the original nonlinear model by a sequence of linear time-varying equations equivalent to the original...
Guardado en:
Autores principales: | Maria Tomas-Rodríguez, Elías Revestido Herrero, Francisco J. Velasco |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2314af28260c48a9842f2968f2b62f8f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Data-Driven Kalman Filtering in Nonlinear Systems with Actuator and Sensor Fault Diagnosis Based on Lyapunov Stability
por: Lingling Fan, et al.
Publicado: (2021) -
A Novel Adaptive Cruise Control Strategy for Electric Vehicles Based on a Hierarchical Framework
por: Yanwu Xu, et al.
Publicado: (2021) -
Model-based adaptive feedforward compensation for disturbance caused by overturning moment in 2-dimensional shaking table systems
por: Kenta SEKI, et al.
Publicado: (2017) -
DETERMINATION OF BRACHIARIA SPP. FORAGE QUALITY BY NEAR-INFRARED SPECTROSCOPY AND PARTIAL LEAST SQUARES REGRESSION
por: MONRROY,MARIEL, et al.
Publicado: (2017) -
A Smart Landing Platform With Data-Driven Analytic Procedures for UAV Preflight Safety Diagnosis
por: Zhenyu Zhou, et al.
Publicado: (2021)