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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Adaptive Backstepping Control for a Class of Nonlinear Systems With Unknown Time Delay
IEEE Access, 2020 In this paper, an adaptive backstepping control scheme is proposed for a class of nonlinear systems with unknown time delay. The unknown time delay in the system depends on all system states, which will inevitably destroy the triangular structure of the ...
Feng Qian +3 more
doaj +1 more source
Journal of Marine Science and Engineering, 2022 The force tracking control of deep-sea hydraulic manipulator systems with long transmission pipelines is disposed via fuzzy adaptive backstepping control based on an extended state observer in this paper.
Yanzhuang Chen +3 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Cogent Engineering, 2018 This paper was aimed at using an adaptive control to develop a backstepping method for a special class of nonlinear systems, which requires no information on the upper bound of parametric uncertainty or disturbance.
Malek Ghanavati +4 more
doaj +1 more source
Improved Nonlinear Robust Adaptive Backstepping Controller Design for Generator Excitation Systems
IEEE Access, 2019 An improved robust adaptive backstepping sliding mode control based on error compensation (RABSMCEC) method with a κ-class function is proposed for the single machine infinite bus (SMIB) system with the excitation control.
Qingyu Su, Fei Dong, Jian Li
doaj +1 more source
Target Tracking Using Adaptive Gain Backstepping Control
IFAC Proceedings Volumes, 2010 A particular recent series of research studies on the problem of tracking/pursuiting moving targets has followed an approach based on artificial potentials and sliding mode control. In this paper we revisit this approach, and in an effort to suppress some input applicability issues in terms of high amplitude and chattering, we develop a backstepping ...
Fidan, B., Gazi V.
openaire +3 more sources
Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems
Asian Journal of Control, EarlyView.Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal +2 more
wiley +1 more source
Control and State Estimation of the One-Phase Stefan Problem via Backstepping Design
, 2017 This paper develops a control and estimation design for the one-phase Stefan problem. The Stefan problem represents a liquid-solid phase transition as time evolution of a temperature profile in a liquid-solid material and its moving interface.
Diagne, Mamadou +2 more
core +1 more source
Backstepping adaptive control of time-varying plants
Systems & Control Letters, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giri, F., Rabeh, A., Ikhouane, F.
openaire +2 more sources