Terminal sliding mode control–an overview
Sliding mode control (SMC) has been a very popular control technology due to its simplicity
and robustness against uncertainties and disturbances since its inception more than 60 …
and robustness against uncertainties and disturbances since its inception more than 60 …
Auv trajectory tracking models and control strategies: A review
D Li, L Du - Journal of Marine Science and Engineering, 2021 - mdpi.com
Autonomous underwater vehicles (AUVs) have been widely used to perform underwater
tasks. Due to the environmental disturbances, underactuated problems, system constraints …
tasks. Due to the environmental disturbances, underactuated problems, system constraints …
Extended state observer-based integral sliding mode control for an underwater robot with unknown disturbances and uncertain nonlinearities
This paper develops a novel integral sliding mode controller (ISMC) for a general type of
underwater robots based on multiple-input and multiple-output extended-state-observer …
underwater robots based on multiple-input and multiple-output extended-state-observer …
Adaptive neural control of underactuated surface vessels with prescribed performance guarantees
This paper presents adaptive neural tracking control of underactuated surface vessels with
modeling uncertainties and time-varying external disturbances, where the tracking errors …
modeling uncertainties and time-varying external disturbances, where the tracking errors …
Survey on fuzzy-logic-based guidance and control of marine surface vehicles and underwater vehicles
Fuzzy logic control, due to its simple control structure, easy and cost-effective design, has
been successfully employed to the application of guidance and control in robotic fields. This …
been successfully employed to the application of guidance and control in robotic fields. This …
A learning-based stable servo control strategy using broad learning system applied for microrobotic control
As the controller parameter adjustment process is simplified significantly by using learning
algorithms, the studies about learning-based control attract a lot of interest in recent years …
algorithms, the studies about learning-based control attract a lot of interest in recent years …
Adaptive sliding-mode attitude control for autonomous underwater vehicles with input nonlinearities
R Cui, X Zhang, D Cui - Ocean Engineering, 2016 - Elsevier
In this paper, we consider attitude control for autonomous underwater vehicles (AUVs) with
input nonlinearities and unknown disturbances taken into account. The dynamics model in …
input nonlinearities and unknown disturbances taken into account. The dynamics model in …
An adaptive neural sliding mode control with ESO for uncertain nonlinear systems
J Wang, P Zhu, B He, G Deng, C Zhang… - International journal of …, 2021 - Springer
An adaptive neural sliding mode control with ESO for uncertain nonlinear systems is
proposed to improve the stability of the control system. Any control system inevitably exists …
proposed to improve the stability of the control system. Any control system inevitably exists …
Adaptive optimal tracking control of an underactuated surface vessel using actor–critic reinforcement learning
L Chen, SL Dai, C Dong - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
In this article, we present an adaptive reinforcement learning optimal tracking control
(RLOTC) algorithm for an underactuated surface vessel subject to modeling uncertainties …
(RLOTC) algorithm for an underactuated surface vessel subject to modeling uncertainties …
The parameter estimation algorithms based on the dynamical response measurement data
L Xu - Advances in Mechanical Engineering, 2017 - journals.sagepub.com
This article studies the parameter estimation to the system response from the discrete
measurement data. By constructing the dynamical rolling cost functions and using the …
measurement data. By constructing the dynamical rolling cost functions and using the …