Adaptive super twisting observer‐based prescribed time integral sliding mode tracking control of uncertain robotic manipulators

H Shen, T Song, L Fang, H Wang… - International Journal of …, 2024 - Wiley Online Library
A novel integral sliding mode control (ISMC) strategy combined with an adaptive super
twisting observer (ASTO) for an uncertain robotic manipulator tracking control system is …

Fuzzy Adaptive Whale Optimization Control Algorithm for Trajectory Tracking of a Cable-Driven Parallel Robot

B Zhou, Y Wang, B Zi, W Zhu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper proposes a fuzzy proportion integration differentiation (PID) control strategy
based on an adaptive whale optimization algorithm (FPID-AWOA) for trajectory tracking of a …

Evolutionary Semi-Vectorial Bilevel Optimization in the mechanical and control design of systems

A Rodríguez-Molina, JA Mejía-de-Dios… - … Applications of Artificial …, 2024 - Elsevier
Many applications require mechanical systems to meet several performance specifications,
achieved through the suitable design of their mechanisms and controllers. The mechanical …

Adaptive robust control for fuzzy underactuated mechanical systems: A Stackelberg game-theoretic optimization approach

Y Xian, J Ma, K Huang, X Chen, W Wang… - Information …, 2024 - Elsevier
This article proposes a Stackelberg game-theoretic optimization approach for adaptive
robust controller design of fuzzy underactuated mechanical systems (UMSs). As a commonly …

Learning-enabled output-feedback-MPC-based synchronization tracking control of multiaxis motion systems

YW Wang, T Yan, WA Zhang, M Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The unknown and time-varying model parameters and measurement noises impose great
influence on the high-precision synchronization tracking control performance of multiaxis …

Adaptive Robust Control for Fuzzy Mechanical Systems in Confined Spaces: Nash Game Optimization Design

Y Xian, K Huang, Z Zhu, S Zhen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A confined space is an area in an industrial facility that has limited access and allows only
restricted movement due to physical constraints. Confined spaces often require special …

Robust control for affine nonlinear systems under the reinforcement learning framework

W Guo, W Qin, X Lan, J Liu, Z Zhang - Neurocomputing, 2024 - Elsevier
This article investigates the robust control problem of affine nonlinear systems with both
additive and multiplicative uncertainty. Different from existing actor-critic (AC) algorithms for …

Cooperative game-theoretic optimization of adaptive robust constraint-following control for fuzzy mechanical systems under inequality constraints

Z Zhu, H Zhao, Y Xian, H Sun, YH Chen, J Ma - Nonlinear Dynamics, 2024 - Springer
For servo mechanical systems, it is typically desirable to consider a series of equality and
inequality constraints in the control analysis. While constraint-following control strategies …

Robust adaptive decoupled-like sliding mode controller design based on iterative learning for overhead cranes

Z Zheng, W Xu - Transactions of the Institute of Measurement …, 2024 - journals.sagepub.com
This paper proposes a novel model-free controller, considering the overhead crane systems
cannot be accurately modeled and affected by external disturbances. The suggested …

Safe Bayesian Optimization for High-Dimensional Control Systems via Additive Gaussian Processes

H Wang, X Li, A Bhaumik, P Vadakkepat - arXiv preprint arXiv:2408.16307, 2024 - arxiv.org
Controller tuning and optimization have been among the most fundamental problems in
robotics and mechatronic systems. The traditional methodology is usually model-based, but …