Periodic Event-Triggered Model Predictive Control for Networked Nonlinear Uncertain Systems With Disturbances
This article investigates the event-triggered model predictive control (MPC) problem for a
class of networked nonlinear uncertain systems subject to time-varying disturbances …
class of networked nonlinear uncertain systems subject to time-varying disturbances …
Safety-Critical Generalized Predictive Control for Speed Regulation of PMSM Drives Based on Dynamic Robust Control Barrier Function
The speed regulation of a permanent magnet synchronous motor (PMSM) with a
noncascade structure involves interactions between safety constraints and control …
noncascade structure involves interactions between safety constraints and control …
Adaptive fuzzy fixed-time tracking control for high-order nonlinear delayed systems with mismatched disturbances
X Yu, W Zhao, J Xia, X Chen, H Shen - Journal of the Franklin Institute, 2023 - Elsevier
The fixed-time tracking control issue is investigated for a class of high-order nonlinear
delayed systems subject to mismatched disturbances in this paper. Wherein, the fuzzy logic …
delayed systems subject to mismatched disturbances in this paper. Wherein, the fuzzy logic …
[HTML][HTML] An intelligent optimization algorithm with novel fitness function for high-performance PMSM FOC
Z You, Y Bian, Y Zhang, L Chen - Alexandria Engineering Journal, 2025 - Elsevier
This paper proposes an advanced intelligent optimization algorithm (IO-FOC) with a novel
fitness function to improve the dynamic response and steady-state performance of field …
fitness function to improve the dynamic response and steady-state performance of field …
Composite Generalized Dynamic Predictive Control with Self-Tuning Horizon for Wide-Range Speed Regulation of PMSM Drives
This article proposes and investigates a novel composite generalized dynamic predictive
control (GDPC) approach for wide-range speed regulation of permanent magnet …
control (GDPC) approach for wide-range speed regulation of permanent magnet …
Adaptive Horizon Seeking for Generalized Predictive Control via Deep Reinforcement Learning With Application to DC/DC Converters
For enhancing the capacity to optimize the control performance of the generalized predictive
control (GPC) method, this paper proposes an adaptive horizon mechanism design …
control (GPC) method, this paper proposes an adaptive horizon mechanism design …
Barrier-Function-Based Adaptive Fast-Terminal Sliding-Mode Control for a PMSM Speed-Regulation System
X Che, Z Ma, X Qi, W Li, H Niu, C Yan - Electronics, 2024 - mdpi.com
Barrier-function-based adaptive fast-terminal sliding-mode control approaches have been
devised to enhance the precision of speed regulation of permanent magnet synchronous …
devised to enhance the precision of speed regulation of permanent magnet synchronous …
Optimized Trajectory Tracking for Robot Manipulators with Uncertain Dynamics: A Composite Position Predictive Control Approach
This study addresses the trajectory tracking control challenges of robot manipulators with
uncertain dynamics. The aim is to achieve precise and smooth trajectory regulation through …
uncertain dynamics. The aim is to achieve precise and smooth trajectory regulation through …
Robust generalised predictive position control for chain‐type rotary shell magazine with disturbance observer
G Zhou, L Qian, Q Zou, L Sun… - IET Electric Power …, 2024 - Wiley Online Library
The realisation of fast position tracking control and strong robust control of the chain‐type
rotary shell magazine in the complex systems such as the large calibre howitzer has been …
rotary shell magazine in the complex systems such as the large calibre howitzer has been …
Safety-Critical Generalized Predictive Control for PMSM Drives Based on Control Barrier Function
This paper presents a novel safety-critical generalized predictive control (SCGPC) strategy
for speed regulation of permanent synchronous motor (PMSM) drives with a non-cascade …
for speed regulation of permanent synchronous motor (PMSM) drives with a non-cascade …