Neural-network-state-observation-based adaptive inversion control method of maglev train

C Chen, J Xu, L Rong, W Ji, G Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Maglev train is a new vehicle of rail transit. The time-varying load caused by large capacity is
an important test of suspension system. If the state variable matrix and parameter matrix …

Interpretation of trajectory control and optimization for the nondense fractional system

K Jothimani, C Ravichandran, V Kumar… - International Journal of …, 2022 - Springer
In this work, we have examined the trajectory controllability of the fractional delay differential
equation with a nondense domain. The results are developed using fractional calculus …

Energy shaping dynamic tube-MPC for underactuated mechanical systems

G Bastos Jr, E Franco - Nonlinear Dynamics, 2021 - Springer
This work investigates the tracking control problem for underactuated mechanical systems.
To this end, we develop an extension of the dynamic tube Model Predictive Control (MPC) …

Robustness improvement of computationally efficient cooperative fuzzy model predictive-integral sliding mode control of nonlinear systems

M Farbood, M Veysi, M Shasadeghi, A Izadian… - IEEE …, 2021 - ieeexplore.ieee.org
This paper introduces a systematic and comprehensive method to design a constrained
fuzzy model predictive control (MPC) cooperated with integral sliding mode control (ISMC) …

Speed-command-independent parameters self-tuning and mismatch compensation for servo speed control

S Lu, S Zhang, H Chang, S Zheng, B Song - Control Engineering Practice, 2023 - Elsevier
Usually the servo system using the traditional generalized predictive control is limited by the
reference command, the expression of which is only a step signal or a ramp signal …

Robust nonlinear model predictive control with model predictive sliding mode for continuous-time systems

E Hill, SA Gadsden… - Journal of …, 2022 - asmedigitalcollection.asme.org
This paper presents a robust, tube-based nonlinear model predictive controller for
continuous-time systems with additive disturbances which cascades two sampled-data …

Finite time state tracking control based on prescribed performance for a class of constrained nonlinear systems

Y Wang, B Su, B Guo - … Journal of Robust and Nonlinear Control, 2023 - Wiley Online Library
In this article, a finite time prescribed performance controller is designed for a class of
constrained nonlinear systems with external disturbances. A homeomorphic mapping is …

Dual-mode synchronization predictive control of robotic manipulator

Z Dachang, C Aodong, D Baolin… - Journal of …, 2022 - asmedigitalcollection.asme.org
To reduce the contour error of the end-effector of a robotic manipulator during trajectory
tracking, a dual-mode synchronization predictive control is proposed. First, the dynamic …

Model predictive control‐based tracking controller for hybrid‐driven underwater legged robot

G Zhang, W Yan, R Cui, F Ma - IET Control Theory & …, 2024 - Wiley Online Library
To address the tracking problem of the hybrid‐driven underwater legged robot, a control
strategy is proposed that decomposes the whole tracking control system into two …

An error gradient and accumulation‐type event‐driven model predictive control with relative thresholds for perturbed nonlinear systems

N He, Z Xu, C Shen - IET Control Theory & Applications, 2022 - Wiley Online Library
This work investigates the event‐driven model predictive control problem for perturbed
nonlinear systems with input and state constraints. Firstly, a new event‐driven triggering …