Results 31 to 40 of about 1,752 (184)

Adaptive Finite-Time Sliding Mode Backstepping Controller for Double-Integrator Systems with Mismatched Uncertainties and External Disturbances

Discrete Dynamics in Nature and Society, 2022
In this paper, a novel adaptive finite-time sliding mode backstepping (AFSMBS) control scheme is suggested to control a type of high-order double-integrator systems with mismatched disturbances and uncertainties.
Pooyan Alinaghi Hosseinabadi, Ali Soltani Sharif Abadi, Hemanshu Pota, Sundarapandian Vaidyanathan, Saad Mekhilef   +4 more
doaj   +1 more source

Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System

Journal of Applied Mathematics, 2012
A novel indirect adaptive backstepping control approach based on type-2 fuzzy system is developed for a class of nonlinear systems. This approach adopts type-2 fuzzy system instead of type-1 fuzzy system to approximate the unknown functions.
Ll Yi-Min, Yue Yang, Li Li
doaj   +1 more source

Adaptive Nonlinear Backstepping Control

, 2011
{"references": ["A. Isidori, Nonlinear Control Systems, Springer, 1989.", "J.J. Slotine and W.Li, Applied Nonlinear Control, Prentice-Hall, NJ,\n1991.", "P.D. Oliver, \"Feedback linearization of DC motors,\" IEEE Trans.\nIndustrial Electronics, vol. 38, no. 6, 1991, pp. 498-501.", "ZUO Z. LIU, FANG L. LUO and MUHAMMAD H.
Sun Lim, Bong-Seok Kim
openaire   +3 more sources

Backstepping Adaptive Fuzzy Control of Servo System With LuGre Friction

MATEC Web of Conferences, 2017
Aiming at the control problem of servo system with friction nonlinearity, we introduced the improved LuGre friction model of system. We used adaptive fuzzy system to approximate the nonlinear part and unknown parameters in system online.
Zhao Haibo, Wang Chengguang
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

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, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Comparative Study of Electric Vehicle Propulsion Systems Using Field‐Oriented Controlled Dual PMSMs With Novel Control Strategies Based on an EPS Filter and a Fuzzy Logic Regulator for Enhanced Stability and Safety

Energy Science &Engineering, EarlyView.
The growing demand for electric vehicles (EVs) has driven research into improving propulsion control systems, focusing on performance, efficiency, and safety. This study addresses a gap in advanced control systems for EV differentials and presents two solutions.
Rachad Moumni, Idriss Benlaloui, Kouider Laroussi, Amor Fezzani, Mohamed Metwally Mahmoud, Vojtech Blazek, Daniel Eutyche Mbadjoun Wapet, Ezzeddine Touti   +7 more
wiley   +1 more source

Model-Free Robust Backstepping Adaptive Cruise Control

International Journal of Aerospace Engineering, 2023
This paper studies the model-free robust adaptive cruise control problem of a vehicle with unknown nonlinear dynamics and disturbances. First, under backstepping control framework, the position tracking errors with different spacing strategies are used ...
Yanan Zhang, Jiacheng Song
doaj   +1 more source

Inertial‐Based LQG Control: A New Look at Inverted‐Pendulum Stabilization

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Linear‐quadratic Gaussian (LQG) control is a well‐established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In standard laboratory setups, sensor redundancy enables direct measurement of configuration variables using displacement sensors and rotary encoders. However, in outdoor
Daniel Engelsman, Itzik Klein
wiley   +1 more source

Robust Position Control of an Electro‐Hydraulic Actuator via Metaheuristic Optimization of a Fractional‐Order PID Controller

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this study, a robust position control strategy is presented for a two‐stage electro‐hydraulic actuator system using a fractional‐order proportional–integral–derivative (FOPID) controller tuned by Kirchhoff's law algorithm (KLA). Electro‐hydraulic systems exhibit strong nonlinearities, parameter uncertainties, and external disturbances ...
Ridvan Firat Cinar, Davut Izci, Serdar Ekinci, Mohammad Salman, Mohammad Al‐Rabayah, Ali Akdagli, Ali Yildiz, Filiz Karaomerlioglu, Gökhan Yüksek   +8 more
wiley   +1 more source

RBF NN-Based Backstepping Adaptive Control for a Class of Nonlinear Systems

MATEC Web of Conferences, 2018
There are many control methods for nonlinear systems, but some of them can not control nonlinear mismatched systems very well. Backstepping control has obvious advantages in controlling nonlinear mismatched systems.
Zhao Haibo, Wang Chengguang
doaj   +1 more source