Adaptive fuzzy control of nonlinear systems with predefined time and accuracy

Q Wang, J Cao, H Liu - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
In this article, an adaptive fuzzy predefined time and accuracy tracking control scheme is
proposed for strict-feedback nonlinear systems. A sufficient condition that can be used to …

Survey of advanced nonlinear control strategies for UAVs: Integration of sensors and hybrid techniques

N Abbas, Z Abbas, S Zafar, N Ahmad, X Liu, SS Khan… - Sensors, 2024 - mdpi.com
This survey paper explores advanced nonlinear control strategies for Unmanned Aerial
Vehicles (UAVs), including systems such as the Twin Rotor MIMO system (TRMS) and …

Observer-based command filtered adaptive fuzzy control for fractional-order MIMO nonlinear systems with unknown dead zones

X Zhang, W Zhang, J Cao, H Liu - Expert Systems with Applications, 2024 - Elsevier
In order to cope with the explosion of complexity problem in backstep** control, a
commonly used method is to use a filter, which will bring filter error and impair control …

Adaptive neural network backstep** control of fractional-order nonlinear systems with actuator faults

H Liu, Y Pan, J Cao, H Wang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Backstep** control for fractional-order nonlinear systems (FONSs) requires the analytic
calculation of fractional derivatives of certain complicated stabilizing functions, which …

Predefined time fuzzy adaptive control of switched fractional-order nonlinear systems with input saturation

L Ding, W Sun - International Journal of Network Dynamics and …, 2023 - sciltp.com
This article investigates the predefined-time fuzzy adaptive tracking control problem for a
class of nonlinear switched fractional-order systems with input saturation and external …

Adaptive fuzzy backstep** dynamic surface control of strict-feedback fractional-order uncertain nonlinear systems

Z Ma, H Ma - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This paper presents a novel adaptive fuzzy backstep** dynamic surface control (DSC)
scheme for a class of single-input single-output strict-feedback fractional-order uncertain …

Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction

J Li, J Wang, H Peng, L Zhang, Y Hu, H Su - Neurocomputing, 2020 - Elsevier
The accuracy of trajectory tracking and stable operation with heavy load are the main
challenges of parallel mechanism for wheel-legged robots, especially in complex road …

Force sensorless admittance control with neural learning for robots with actuator saturation

G Peng, C Yang, W He… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we present a sensorless admittance control scheme for robotic manipulators to
interact with unknown environments in the presence of actuator saturation. The external …

Adaptive fractional fuzzy integral sliding mode control for PMSM model

P Mani, R Rajan, L Shanmugam… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper aims to address the stabilization problem of permanent magnet synchronous
motor (PMSM) based wind energy conversion system (WECS) through a novel adaptive …

Command filter-based adaptive fuzzy finite-time tracking control for uncertain fractional-order nonlinear systems

X You, S Dian, K Liu, B Guo, G **ang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we focus on the issue of adaptive fuzzy finite-time tracking control for a class of
uncertain fractional-order nonlinear systems with external disturbance. A new finite-time …