Results 21 to 30 of about 4,128,546 (309)

Adaptive Robust Vehicle Motion Control for Future Over-Actuated Vehicles

open access: yesMachines, 2019
Many challenges still need to be overcome in the context of autonomous vehicles. These vehicles would be over-actuated and are expected to perform coupled maneuvers.
Moad Kissai   +4 more
doaj   +1 more source

Unified control of DC-DC buck converter using dynamic adaptive controller for battery operated devices

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2016
The  objective  of  this  paper  is  improving  the  dynamic  response  of  DC-DC  converter  system  with  internal  parameter  uncertainties.  The  methodology  of  sliding  mode  control  in  existing  works  is  based  on  Proportional  Integral ...
Kanimozhi Kannabiran   +1 more
doaj   +1 more source

Self-Scheduled LPV Control of Asymmetric Variable-Span Morphing UAV

open access: yesSensors, 2023
In this study, a novel framework for the flight control of a morphing unmanned aerial vehicle (UAV) based on linear parameter-varying (LPV) methods is proposed.
Jihoon Lee   +3 more
doaj   +1 more source

A Survey on Gain-Scheduled Control and Filtering for Parameter-Varying Systems

open access: yesDiscrete Dynamics in Nature and Society, 2014
This paper presents an overview of the recent developments in the gain-scheduled control and filtering problems for the parameter-varying systems. First of all, we recall several important algorithms suitable for gain-scheduling method including gain ...
Guoliang Wei   +3 more
doaj   +1 more source

A Modified Gain Schedulling Controller by Considering the Sparseness Property of UAV Quadrotors

open access: yesJournal of Mechatronics, Electrical Power, and Vehicular Technology, 2015
This work presented the gain scheduling based LQR for Quadrotor systems. From the original nonlinear model, the system is always controllable and observable in various equilibrium points.
M Qodar Abdurrohman   +7 more
doaj   +1 more source

Robust Gain-Scheduled PID Control: A Parameter Dependent BMI Solution

open access: yesCybernetics and Information Technologies, 2020
In control practices, problems of parametric or time-varying uncertainties must be dealt with. Robust control based on norm theory and convex and non-convex optimization algorithms is a powerful tool to solve these problems in theory, but it is employed ...
Shao Pengyuan, Wu Jin, Ma Songhui
doaj   +1 more source

Data‐driven safe gain‐scheduling control

open access: yesAsian Journal of Control, 2023
AbstractData‐based safe gain‐scheduling controllers are presented for discrete‐time linear parameter‐varying systems (LPV) with polytopic models. First, ‐contractivity conditions are provided under which the safety and stability of the LPV systems are unified through Minkowski functions of the safe sets. Then, a data‐based representation of the closed‐
Amir Modares   +2 more
openaire   +2 more sources

Gain-scheduling model predictive control of a Fresnel collector field

open access: yesControl Engineering Practice, 2019
Model predictive control strategies have been applied successfully when controlling solar plants. If the control algorithm uses a linear model associated only to an operating point, when the plant is working far from the design conditions, the ...
A. Gallego   +3 more
semanticscholar   +1 more source

A gain-scheduling control strategy and short-term path optimization with genetic algorithm for autonomous navigation of a sailboat robot

open access: yesInternational Journal of Advanced Robotic Systems, 2019
The development of a navigation system for autonomous robotic sailing is a particularly challenging task since the sailboat robot uses unpredictable wind forces for its propulsion besides working in a highly nonlinear and harsh environment, the water ...
D. H. Dos Santos   +1 more
semanticscholar   +1 more source

A software environment for gain scheduled controller design [PDF]

open access: yesModeling, Identification and Control, 1998
Recent theoretical developments have improved the understanding of gain scheduled control and suggested new methods for design, analysis and implementation of such nonlinear control systems.
Tor A. Johansen, K. J. Hunt, H. Fritz
doaj   +1 more source

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