Detection and tracking of moving cloud services from video using saliency map model

S Kamble, DKJ Saini, V Kumar, AK Gautam… - Journal of Discrete …, 2022 - Taylor & Francis
In cloud computing, the services are observed in the video stream and clustering their pixels
is the initial task in service detection. Tracking is the practice to observe or tracking the …

History makes the future: Iterative learning control for high-speed trains

S Gao, Q Song, H Jiang, D Shen - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
With the development of high-speed rail transportation, the automatic train operation (ATO)
of high-speed trains (HSTs) has attracted considerable attention in the fields of both …

Neural network compensator-based robust iterative learning control scheme for mobile robots nonlinear systems with disturbances and uncertain parameters

Z Chen, Y Hou, R Huang, Q Cheng - Applied Mathematics and …, 2024 - Elsevier
Aiming at the problem of trajectory tracking control for mobile robot nonlinear systems with
non-repetitive uncertain parameters, we propose a novel neural network compensator …

Autonomous drone racing: time-optimal spatial iterative learning control within a virtual tube

S Lv, Y Gao, J Che, Q Quan - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
It is often necessary for drones to complete delivery, photography, and rescue in the shortest
time to increase efficiency. Many autonomous drone races provide platforms to pursue …

An improved fast error convergence topology for PDα-type fractional-order ILC

S Riaz, H Lin, M Mahsud, D Afzal, A Alsinai… - Journal of …, 2021 - Taylor & Francis
The monotonic convergence of the PD α-type fractional-order iterative learning control
algorithm is considered for a class of fractional-order linear systems. First, a theoretical …

Data-Based Norm-Optimal Iterative Learning Control via Gaussian Process Regression

J Zhang, D Meng - SIAM Journal on Control and Optimization, 2025 - SIAM
Norm-optimal iterative learning control (NOILC) is effective for repetitive systems in
achieving the monotonic decrease of the tracking error with respect to a specified trajectory …

Adaptive iterative learning unified operation control for high-speed train considering electrical structure model and temperature compensation

Y Yang, X Liu, C Wang, D Huang - Nonlinear Dynamics, 2024 - Springer
In high-speed train operation control, the traction/braking force usually cannot be directly
adjusted due to the nonlinear relationship with the motor armature current. In this paper …

Interval compression‐based model‐free control algorithm for reducing actuator execution frequency

Y Zhou, J Chang, W Chen, H Dai - IET Control Theory & …, 2024 - Wiley Online Library
The complexity of real‐world systems poses challenges to model‐based control, sparking
significant interest in model‐free control methods. By depending exclusively on the system's …

High level browser security in cloud computing services from cross site scripting attacks

M Malik, M Kumar, V Kumar, AK Gautam… - Journal of Discrete …, 2022 - Taylor & Francis
Getting the public cloud is truly hard for associations. Therefore, IT divisions are searching
for a cloud-passed on a security plan that gives satisfactory end-customer security. An …

An Iterative Method for Computing Controlled Reach-Avoid Sets

D Ren, T Wu, B Xue - 2024 American Control Conference …, 2024 - ieeexplore.ieee.org
This paper focuses on addressing the problem of computing controlled reach-avoid sets for
continuous-time systems modeled by polynomial ordinary differential equations with control …