782 hasil
Menampilkan 1–20 · 1,04 detik · RSS
Systems Science & Control Engineering
Scopus
ISSN 2164-2583 · Taylor & Francis Group · 782 artikel di indeks
-
Artikel Jurnal
A comprehensive survey of game-theoretic approaches for networked systems
Networked systems composed of heterogeneous and distributed agents – such as sensors, actuators, robots, and vehicles – play a critical role in modern infrastructures, including smart grids, industrial automation, and intelligent transportation systems. However, resource constraints, dynamic…
-
Artikel Jurnal
Forecasting financial distress of Chinese new energy listed companies using a novel hybrid model of Lasso-CCSM-VNWOA-GBDT
Effective forecasting the financial distress of energy enterprises can promote risk management and financial sustainability. Previous studies lack discussion of this topic in the emerging energy industry and ignore the sample imbalance problem and information screening. Therefore, the main work of…
-
Artikel Jurnal
Structured stabilization of superlinear neutral stochastic systems by delay feedback control
This paper investigates the stabilization problem for a class of nonlinear hybrid neutral stochastic differential equations (NSDEs) with different structural modes, employing a delay feedback control strategy. A key innovation lies in the consideration of non-differentiable delay functions, which…
-
Artikel Jurnal
Deep learning in auditory attention decoding: A systematic review
Auditory attention decoding (AAD) utilizes electroencephalography (EEG) to detect an individual's attentional focus in noisy, multi-speaker environments, serving as a cornerstone for next-generation neuro-steered hearing aids. Although deep learning has recently surpassed traditional linear models…
-
Artikel Jurnal
Angular speed control of torque motor based on fractional order ADRC
This study addresses the limitations inherent in the traditional Extended State Observer (ESO) within the Active Disturbance Rejection Control (ADRC) framework, specifically targeting issues such as large observation errors, low accuracy, and significant overshoot in estimating the total angular…
-
Artikel Jurnal
Dynamic performance analysis of attitude control for statically unstable aircraft
The key to the flight control of statically unstable aircraft (SUA) is to maintain attitude stability; however, some SUA use large boosters during the boost section to obtain a relatively high initial energy, which causes the centre of gravity biased to shift backwards and the projectile to exhibit…
-
Artikel Jurnal
Artificial intelligence in modern mechatronic systems: technologies, applications, and future research directions
Artificial Intelligence (AI) has emerged as a defining force in the evolution of modern mechatronic systems, transforming traditional electromechanical integration into intelligent, autonomous, and data-driven technologies. This review provides a comprehensive examination of AI-enabled advances…
-
Artikel Jurnal
Hybrid state-of-charge estimation for lithium-ion batteries: a structured survey
Accurate state-of-charge (SOC) estimation is essential for the safe, efficient, and long-term operation of lithium-ion batteries in electric vehicles and stationary energy storage systems. However, the inherent nonlinearities, temperature dependence, aging effects, and cell-to-cell variations make…
-
Artikel Jurnal
Data augmentation strategies for GAN-based medical image analysis: an empirical review
Medical image generation using artificial intelligence, especially Generative Adversarial Networks (GANs), has become a powerful solution to address challenges of limited data, class imbalance, and privacy restrictions in clinical imaging. While several GAN-based strategies have been proposed…
-
Artikel Jurnal
AARE-SAC: Adversarially adaptive reward-enhanced soft actor-critic for robust autonomous driving in adversarial environments
Robust autonomous driving under adversarial disturbances remains a fundamental challenge, as conventional deep reinforcement learning (DRL) frameworks exhibit fragile convergence and limited resilience to distributional shifts. This study presents the Adversarially Adaptive Reward-Enhanced Soft…
-
Artikel Jurnal
Hierarchical learning-based swarm optimization for control system design of three-phase rectifier circuits
Nowadays, evolutionary algorithms have been widely applied to design and estimate the parameters of power electronic systems. However, for closed-loop control systems, selecting and balancing the weights of performance indicators remains challenging for evaluating the whole performance of…
-
Artikel Jurnal
Digital twin-enabled real-time parameter estimation of a wheeled mobile robot
This paper presents a real-time parameter estimation framework for wheeled mobile robots (WMR) using a digital twin architecture based on the Wide-Array of Nonlinear Dynamics Approximation (WyNDA). A WyNDA-based adaptive observer is applied to perform static and time-varying parameter estimation…
-
Artikel Jurnal
Hybrid Sand Cat-Aquila optimization for enhanced intrusion detection in wireless networks
With the rapid adoption of wireless technologies and interconnected devices in wireless sensor networks, there has been a huge increase in security issues being brought forward to the Intrusion Detection System (IDS). Traditional IDS face difficulties with high-dimensional wireless traffic…
-
Artikel Jurnal
Machine learning models for predicting sucrose extraction as a basis for advanced control of sugarcane milling
Sugarcane milling efficiency is governed by a complex interaction between raw material properties, mechanical energy input and process dynamics. This study proposes a data-driven framework to predict sucrose extraction efficiency in an industrial milling tandem using Near-Infrared (NIR)…
-
Artikel Jurnal
A hybrid quantum–classical learning architecture for noise-aware inference in distributed systems
This paper presents Q-INTEL, a hybrid quantum–classical architecture for noise-aware inference in distributed cyber-physical systems. It integrates classical feature processing, variational quantum circuits (VQCs), classical optimisation, and edge–cloud orchestration within a five-layer pipeline…
-
Artikel Jurnal
UAV collision avoidance using Average Sub-Gradient method
This paper presents a novel obstacle avoidance strategy for unmanned aerial vehicles (UAVs) by integrating an Average Sub-Gradient method into an Integral Sliding Mode Control framework. The proposed approach ensures that the UAV converges to a desired sliding surface while simultaneously avoiding…
-
Artikel Jurnal
Lightweight neural networks with enhanced feature extraction for suspicious human activity detection using radar micro-Doppler signatures
The proposed models are presented with their respective architectures and computational flow algorithms, demonstrating notable improvements in detection accuracy for highly sensitive suspicious human activities (SHA) detection. Their classification performance is comprehensively evaluated through…
-
Artikel Jurnal
A comparative evaluation of explainable AI techniques across CNN and vision transformer architectures for mango leaf disease detection
Early and accurate disease diagnosis in mango leaves is essential for minimizing crop loss and supporting sustainable agriculture. Although deep learning models using convolutional neural networks (CNNs) and vision transformers (ViTs) achieve high diagnostic accuracy, their lack of interpretability…
-
Artikel Jurnal
Novel integration of 50 kW photovoltaic systems in microgrids using quantum slime mould optimization for enhanced power output and efficiency
This paper presents the integration of a 50 kW grid-connected photovoltaic (PV) system with a quantum slime mold optimization (QSMO)-based maximum power point tracking (MPPT) algorithm to enhance power extraction, tracking stability and grid integration under varying irradiance conditions. A…
-
Artikel Jurnal
Closing the loop: experimental validation of a predictive multi-timescale controller for hybrid battery-hydrogen storage systems
This research explores the effect of higher penetration of variable renewables on energy fluctuations at various time scales and the necessity of energy storage systems for balancing power supply. This paper presents an experimentally verified predictive multi-timescale control method for a hybrid…