Search
32 articles for “state space models”
-
Mathematical Analysis and Stability Analysis of Coupled Orbital–Attitude Dynamics for Autonomous Spacecraft under Perturbative Forces
Abstract: Autonomous spacecraft operating in Earth orbit are subjected to coupled translational and rotational dynamics influenced by gravitational and environmental perturbations. Accurate mathematical characterization of these interactions is essential for trajectory prediction, attitude stabilization, autonomous navigation, and mission reliability. This study develops a nonlinear mathematical framework for coupled orbital–attitude dynamics of an autonomous spacecraft under perturbative forces. The translational dynamics are formulated using the two-body gravitational model augmented by the second …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
-
Control of a Three Phase Grid-Connected Photovoltaic System with Maximum Power Point Tracking
Abstract: The power output of a photovoltaic system is greatly dependent on environmental conditions such as solar irradiation and ambient temperature. Due to the nonlinear nature of these conditions, the power output of the PV system is nonlinear. As a result, interfacing its output to the electrical grid is not possible. In order to achieve a grid connected photovoltaic (PV) system, controlled maximum power point tracking techniques are needed to obtain …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 52–64 Read article
-
Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
-
Reaching Conditions for Discrete-time Sliding Mode Control: Analysis and Design
Abstract: Sliding mode control (SMC) is a robust control method widely used in engineering due to its ability to handle uncertainties and disturbances effectively. In discrete-time sliding mode control (DSMC), system trajectories are constrained to sliding surfaces in the state space, leading to improved performance and stability. This paper provides an overview of DSMC, focusing on its applications, advantages, and limitations. It discusses the use of DSMC in various engineering fields …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
-
Historical Reflection on the Imperative of Security Sector Reform (SSR) in A Democratic Society
Abstract: The end of Cold War heralded “Hot Peace” into the international system. Before then, people thought that the conclusion of the Cold War would bring about a lasting peace on a global scale. However, this noble aspiration was not 1a be s- September-il, amply and—brutally demonstrated besides, the increasing wave of terrorism. Global democratization efforts brought about the end of the Cold War. People all across the world took advantage …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 09–18 Read article
-
Bridging Traditional Ayurvedic Pedagogy and Competency-Based Education: A Contemporary Perspective
Abstract: Mentoring plays a pivotal part in education. It has deep roots in both the traditional practitioner- Shishya Parampara of Ayurveda and ultramodern faculty- grounded medical education. The National Medical Commission and the National Commission for Indian System of Medicine have stated that structured mentorship programs are essential to guide scholars from newcomers to interpreters. This composition looks at how these traditions connect. It explains the purpose and limits of mentoring. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 15, Issue 2, 2026 Read article
-
Predictors of Low Birth Weight in Tigrai Regional State, Northern Ethiopia: Hospital Based Case Control Study
Abstract: Background: Low birth weight is a serious public health crisis to neonatal survival, about 20.6 million such infants born each year and the developing world inhabits 96.5% of them and little is documented about the predictors of low birth weight in Ethiopia. Therefore, this study is intended to identify the determinants of low birth weight in governmental hospitals of Tigrai national state, Ethiopia.Method: A case-control study was carried out at …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 1, 2017 · pp. 23–32 Read article
-
Detection of Driver Emotion Using Deep Learning
Abstract: High level Driver-Help Frameworks (ADASs) are utilized for expanding security in the auto space, yet momentum ADASs quite work without considering drivers' states, e.g., whether she/he is genuinely able to drive. Feelings are a significant way of behaving of people and may emerge in driving circumstances. Uncontrolled feelings can prompt unsafe impacts. To control and decrease the adverse consequence of conduct. In this paper we will distinguish the driver’s conduct. …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 01–06 Read article
-
Workplace Violence against Women (WPVAW): The Experience among Healthcare Providers in Nigeria
Abstract: Background: Across the world today, the workplace just like any other public space a woman could find herself has become a place where the woman folk get abused by all categories of people they come in contact with, be it colleagues, service consumers, their relations amongst others.Aim: The study was aimed at assessing the prevalence of workplace violence against women, severity and perpetrators of abuse among healthcare providers in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 1, 2018 · pp. 42–46 Read article
-
From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris
Abstract: Marine trash endangers ecosystems, so efficient detection is critical. This article describes a novel strategy for improving detection accuracy by integrating YOLOv7 instance segmentation with attention processes. Three models are evaluated: lightweight coordinate attention, the convolutional block attention module (CBAM) for spatial-channel focus, and the bottle neck transformer, which relies on self-attention. On an annotated satellite image dataset, CBAM has the greatest F1 scores in box recognition (77%) and mask …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 1–9 Read article
-
Quantum-Fuzzy Tensor Operators for Multi-Qubit Conjunction, Disjunction, and Symmetry-Preserving State Discrimination
Abstract: The integration of fuzzy logic and quantum information theory raises a fundamental mathematical question: how can degrees of truth be encoded in multi-qubit amplitudes while preserving the unitary dynamics and symmetry structure of quantum state spaces? This paper develops a tensor-operator framework for implementing quantum-fuzzy logical operations on finite qubit registers. Fuzzy truth values are represented by normalized quantum amplitude pairs, enabling logical information to be embedded directly into quantum …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 16–21 Read article
-
AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article