Optimal Control Applications & Methods

Papers
(The H4-Index of Optimal Control Applications & Methods is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
53
Fuzzy Adaptive Sliding‐Mode Control Optimized by an Arithmetic Optimization Algorithm for a Quadrotor Drone With Chaotic Nonlinear Dynamics49
Special issue on “Optimal design and operation of energy systems”44
Fault Detection and Fault Location in a Grid‐Connected Microgrid Using Optimized Deep Learning Neural Network43
Probabilistic Robust Damping Controller Optimization for Mitigating Subsynchronous Control Interaction in DFIG and PMSG‐Based Wind Farms36
An improved adaptive hp mesh refinement method in solving optimal control problems33
Real‐time visual tracking design for an unmanned aerial vehicle in cluttered environments28
Environment‐Adaptive Lateral Safety Control Algorithm for Four‐Wheel Independent Vehicles With Obstacle Distance Prioritization28
Optimal control problem governed by a highly nonlinear singular Volterra equation: Existence of solutions and maximum principle25
SSA‐optimized cascade optimal‐PIDN controller for multi‐area power system with RFB under deregulated environment25
Robust weighted fusion Kalman estimators for systems with uncertain noise variances, multiplicative noises, missing measurements, packets dropouts and two‐step random measurement delays24
Event‐triggered optimal control based on prescribed performance for a two‐link robotic manipulator22
20
Issue Information19
A robust optimization formulation for dynamic pricing of a web service with limited total shared capacity19
Multivariable Offset‐Free Data‐Driven Sliding Mode Predictive Control18
Shapley Effects as a Global Sensitivity Metric for Robust Design and Control18
Nonlinear analysis and dynamics of COVID‐19 mathematical model with optimal control strategies17
Fast Point‐To‐Point Transportation of the Portal Crane via Double‐Input Inversion‐Based Feedforward and Feedback Control17
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