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Automatika
ISSN 1848-3380 · Taylor & Francis Group · 383 artikel di indeks
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Artikel Jurnal
Stability of the zero solution of fuzzy delay differential equations via Lyapunov functions
This study considers the problem of how to guarantee the stability of systems whose behaviour is influenced by time delays and fuzzy parameters. We focus on fuzzy delay differential equations (FDDEs) and a framework based on Lyapunov-Krasovskii functionals. We derive delay – and fuzziness-dependent…
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Artikel Jurnal
KSOM-WLN vs. PID-CLIK: intelligent and conventional approaches for trajectory tracking control of spatial robotic manipulator
This paper presents a comparative study between intelligent and conventional control strategies for accurate 3D trajectory tracking with joint limit avoidance in spatial robotic manipulators. The proposed intelligent approach integrates a Kohonen Self-Organizing Map (KSOM) neural network with a…
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Artikel Jurnal
ResViT HybridNet: a fusion of ResNet50 and Vision Transformer for banana leaf disease identification
Banana leaf diseases such as Cordana, Sigatoka, and Pestalotiopsis significantly reduce crop yield and quality, necessitating accurate and early detection for effective management. This study proposes ResViT HybridNet, a novel deep learning framework that integrates ResNet50 for spatial feature…
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Artikel Jurnal
Ellipsoidal set-membership estimation of systems with logarithmic quantized control input
For networked control systems with logarithmic quantization, the state estimation is important. Different from the traditional state estimation methods where the uncertainties are assumed to have known probability distributions, the set-membership estimation method used in this paper only supposes…
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Artikel Jurnal
A hybrid model-assisted LADRC framework for underactuated non-minimum-phase control: implementation on a single-link inverted pendulum
This paper proposes a novel switching control strategy based on model-assisted linear active disturbance rejection control (MA-LADRC) to address control accuracy reduction in underactuated, non-minimum-phase systems under uncertainties. By incorporating partial model information into the LADRC…
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Artikel Jurnal
Investigation of mechanical shock and vibration hazards in Indian stone miners operating EMVs
This study investigates the ISO 2631-1 and ISO 2631-5 standards to determine the effects of whole-body vibration on Indian stone miners. The research can significantly help predict health risks for Earth-Moving Vehicle (EMV) drivers. At the operator–seat interface of EMV operators, a riaxial…
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Artikel Jurnal
New-level generation module using reduced current conducting devices for cascaded multilevel inverter topology
Multilevel inverters (MLI) have become the frontier in high-power medium voltage systems because of their unique property of generating sinusoidal voltage through smaller voltage increments. It articulates in propelling the output voltage in the shape of a sinusoid using small steps, thereby…
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Artikel Jurnal
Optimizing medical service robot selection with spherical fuzzy rough MAUT approach
Multicriteria decision-making (MCDM) models are valuable for handling complex problems with various criteria and choices. Conventional MCDM lacks a generic paradigm for many real-world situations, like group choices and ambiguous preferences, and only considers crisp decision problems. Therefore…
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Artikel Jurnal
Predicting the outcomes of 9-pin bowling matches
Sports analytics and prediction play an increasingly important role in modern sports by providing insights that enhance performance, strategy, and decision-making. Bowling is a precision sport in which players roll a ball along a lane to knock down pins. The sport comprises multiple disciplines…
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Artikel Jurnal
DeiT-GAN: a segmentation-driven transformer framework for multi-class chest X-ray disease classification
Chest diseases pose a significant health challenges and requires earlier diagnosis. Chest X-ray (CXRs) images are globally utilized due to their accessibility and cost-effectiveness, but physical intervention is time-consuming and error-prone. Recent improvements in Artificial Intelligence (AI)…
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Artikel Jurnal
Application of advanced fault-tolerant control techniques in the design of modern electric vehicles for increased reliability: a review
Considering the increasing demand for environmentally friendly and economically viable transportation options, this in-depth analysis of fault-tolerant control (FTC) in the context of electric vehicles (EVs) covers all the latest developments and applications in the field. Maintaining vehicle…
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Artikel Jurnal
Research on turbine speed control method based on flow characteristics of governing valve
Studies show that there are inherent lower rotor time constants at high-parameter and large-capacity thermal power units, which lead to poor rotational speed stability under traditional control methods in complicated power grid structures and operating conditions. Moreover, it is prone to induce…
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Artikel Jurnal
An enhanced Informed RRT* algorithm for path planning
Path planning is essential for enabling mobile robots to navigate in complex environments effectively. This paper proposes an enhanced Informed Rapidly-exploring Random Tree (RRT*) algorithm that reduces path planning time and generates shorter paths. The algorithm incorporates a greedy expansion…
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Artikel Jurnal
DCapsNet: a robust multi-feature deep capsule network for speech emotion recognition
With the continuous advancements in artificial intelligence, speech emotion recognition (SER) systems have garnered widespread attention. They have found applications across various fields, including mobile services, psychological assessment, healthcare, and autonomous vehicles. This research…
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Artikel Jurnal
Enhancing autonomous navigation systems through reinforcement learning
Conventional cleaning and waste-collecting robots face significant challenges when operating in dynamic and unpredictable environments. Traditional obstacle-avoidance algorithms often fail to account for moving objects, while existing learning-based navigation techniques demand extensive datasets…
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Artikel Jurnal
Event-triggered adaptive prescribed performance flight-path angle control for aircraft with input deadzone
In this work, we study the tracking control problem for the longitudinal motion of aircraft in the presence of uncertainties and input nonlinearity. Prescribed performance control strategy is utilized to obtain the preset transient and steady-state performance, while the unknown input deadzone is…
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Artikel Jurnal
Dynamic loading effects on the fatigue mechanism, and crack propagation in rolling element bearings using density estimation: a signal processing analysis
Bearings play a crucial role in supporting the rotating shaft and withstanding different kinds of loading. Thus, failure in the bearing not only halts shaft operation but also affects machine functioning as a whole. To better understand fatigue behaviour and increase machinery reliability, crack…
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Artikel Jurnal
An Improved MPC-PSO controller for the performance enhancement of a mobile robot in tracking a dynamic target
A mobile robot tracking a moving target is a challenging research area for real-time implementation. The proposed work uses a hybrid controller with an error dynamic model to provide improved error convergence. The Model Predictive Controller – Particle Swarm Optimization (IMPC-PSO)-based…
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Artikel Jurnal
Event-triggered neural adaptive cooperative control of multiple trains based on minimum learning parameters
This paper investigates the challenges of event-triggered trajectory tracking control for multiple high-speed train nonlinear systems subject to model uncertainty. First, a neural network-based minimum learning parameter (MLP) method is proposed for multi-train nonlinear systems with model…
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Artikel Jurnal
Revolutionizing scalp disease detection using integrating SCSAEN classifier with secretary bird optimization for enhanced diagnostic precision
Automated recognition of scalp-related disorders is challenging because fine-grained similarities among conditions are often obscured by lighting variations, skin-tone diversity, and image noise. Traditional examination relies heavily on clinical expertise and may produce inconsistencies in complex…