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Quantized neural adaptive finite-time preassigned performance control for interconnected nonlinear systems
In this article, the issue of neural adaptive decentralized finite-time prescribed performance
(FTPP) control is investigated for interconnected nonlinear time-delay systems. First, to …
(FTPP) control is investigated for interconnected nonlinear time-delay systems. First, to …
Observer-Based Neural Control of N-Link Flexible-Joint Robots
H Ma, H Ren, Q Zhou, H Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article concentrates on the adaptive neural control approach of-link flexible-joint
electrically driven robots. The presented control method only needs to know the position and …
electrically driven robots. The presented control method only needs to know the position and …
Adaptive finite-time backstep** control tracker for quadrotor UAV with model uncertainty and external disturbance
In this study, for the purpose of finite-time tracking control of quad-rotor Unmanned Aerial
Vehicle (UAV) system under modeling uncertainties and external disturbances, an adaptive …
Vehicle (UAV) system under modeling uncertainties and external disturbances, an adaptive …
Observer-based command filtered adaptive fuzzy control for fractional-order MIMO nonlinear systems with unknown dead zones
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 …
commonly used method is to use a filter, which will bring filter error and impair control …
Fault detection and performance recovery design with deferred actuator replacement via a low-computation method
In this paper, for a class of uncertain nonlinear systems, a low-computation design scheme
for fault detection and performance recovery based on deferred replacement actuators is …
for fault detection and performance recovery based on deferred replacement actuators is …
[HTML][HTML] Composite learning sliding mode synchronization of chaotic fractional-order neural networks
Z Han, S Li, H Liu - Journal of Advanced Research, 2020 - Elsevier
In this work, a sliding mode control (SMC) method and a composite learning SMC (CLSMC)
method are proposed to solve the synchronization problem of chaotic fractional-order neural …
method are proposed to solve the synchronization problem of chaotic fractional-order neural …
Robust fixed-time tracking control for underactuated AUVs based on fixed-time disturbance observer
S An, L Wang, Y He - Ocean Engineering, 2022 - Elsevier
This paper investigates the fixed-time trajectory tracking control problem of underactuated
autonomous underwater vehicles (AUVs) subject to external disturbances. The …
autonomous underwater vehicles (AUVs) subject to external disturbances. The …
Command filter-based adaptive fuzzy finite-time tracking control for uncertain fractional-order nonlinear systems
X You, S Dian, K Liu, B Guo, G ** control of fractional-order nonlinear systems
Fractional-order nonlinear systems have been widely studied, and their optimal control
problems have been difficult to be solved. In this article, an event-triggered fuzzy …
problems have been difficult to be solved. In this article, an event-triggered fuzzy …