Improved sliding mode control for a robotic manipulator with input deadzone and deferred constraint
Y Zhang, L Kong, S Zhang, X Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, neural network (NN)-based sliding mode control schemes are proposed for an
n-link robotic manipulator with system uncertainties, input deadzone, and external …
n-link robotic manipulator with system uncertainties, input deadzone, and external …
Barrier function adaptive nonsingular terminal sliding mode control approach for quad-rotor unmanned aerial vehicles
This paper proposes a barrier function adaptive non-singular terminal sliding mode
controller for a six-degrees-of-freedom (6DoF) quad-rotor in the existence of matched …
controller for a six-degrees-of-freedom (6DoF) quad-rotor in the existence of matched …
Barrier function-based backstepping fractional-order sliding mode control for quad-rotor unmanned aerial vehicle under external disturbances
The main control objective for the quad-rotor system is the attitude and position tracking
control which is accomplished in this article using the backstepping fractional-order sliding …
control which is accomplished in this article using the backstepping fractional-order sliding …
Finite-time convergence of perturbed nonlinear systems using adaptive barrier-function nonsingular sliding mode control with experimental validation
In this study, an adaptive barrier procedure is combined with nonsingular sliding mode
control (SMC) technique at the aim of the fast stabilization of nonlinear system with external …
control (SMC) technique at the aim of the fast stabilization of nonlinear system with external …
A Barrier-Function-Based Second-Order Sliding Mode Control With Optimal Reaching for Full-State and Input-Constrained Nonlinear Systems
A Mousavi, AHD Markazi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article considers the design of a minimum-time second-order sliding mode control
(SOSMC) method for a class of full-state and input-constrained nonlinear systems. In this …
(SOSMC) method for a class of full-state and input-constrained nonlinear systems. In this …
Barrier function-based prescribed performance trajectory tracking control of wheelchair upper-limb exoskeleton robot under actuator fault and external disturbance …
This paper presents an innovative control strategy for the trajectory tracking of wheelchair
upper-limb exoskeleton robots, integrating sliding mode control with a barrier function-based …
upper-limb exoskeleton robots, integrating sliding mode control with a barrier function-based …
Unit sliding mode control for disturbed crowd dynamics system based on integral barrier Lyapunov function
W Qin - IEEE Access, 2020 - ieeexplore.ieee.org
This paper presents a new tracking controller for a crowd dynamics system. The crowd
dynamics are described by a continuum model in the macro-scale. An appropriate control …
dynamics are described by a continuum model in the macro-scale. An appropriate control …
A new control method for leader–follower consensus problem of uncertain constrained nonlinear multi-agent systems
A Mousavi, AHD Markazi - Journal of the Franklin Institute, 2024 - Elsevier
Abstract The design of Adaptive Fuzzy Sliding-Mode Control (AFSMC) is discussed in this
study for the distributed leader–follower consensus problem of nonlinear uncertain multi …
study for the distributed leader–follower consensus problem of nonlinear uncertain multi …
Design and validation of disturbance rejection dynamic inverse control for a tailless aircraft in wind tunnel
This paper focuses on the design of a disturbance rejection controller for a tailless aircraft
based on the technique of nonlinear dynamic inversion (NDI). The tailless aircraft model …
based on the technique of nonlinear dynamic inversion (NDI). The tailless aircraft model …
A reinforcement learning‐based approach for near‐optimal sliding‐mode control of output‐constrained uncertain nonlinear systems
A Mousavi, AH Davaie‐Markazi… - International Journal of …, 2023 - Wiley Online Library
This study presents a near‐optimal learning‐based approach for sliding‐mode control of
uncertain nonsquare nonlinear systems subject to output constraints. To achieve a …
uncertain nonsquare nonlinear systems subject to output constraints. To achieve a …