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32 articles for “state space models”
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State Space Modeling and Robust Wind Power Generation System
Abstract: AbstractAs producing power from renewable energy is increasing, facing new problems emerging from this phenomenon is becoming a good challenge for power system engineers. One of these problems is the dynamic and transient stability of such systems when they are connected to a power network. In this paper, a variable speed cage machine wind generation system is considered as the case study. The concept of power system stabilizer, which has …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 2, 2017 · pp. 24–39 Read article
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Design and Simulation of Discrete Time Optimal Speed Control for an Induction Motor Taking Core Loss and Stray Load Losses into Account
Abstract: Generally, the core loss and stray load loss are neglected in the mathematical model of induction motor (IM) to design the decoupling torque and flux control strategy. In order to precisely control the torque and flux, core loss and stray load loss, which are generally neglected, should be considered in the mathematical model of IM to design the controller. Some of literatures have shown how the detuning can be done …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 46–56 Read article
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Design and Simulation of Speed Control of DC Motor and DC Voltage Control of Two Quadrant Chopper
Abstract: The DC motors are most suitable for wide range speed control and hence it is used in many adjustable speed drives. The DC motors are generally fed by chopper circuit for improved performance. In order to get smooth and precise control over the speed of DC motor, many different types of controllers have already been introduced. In this paper, two discrete-time multi-input and multi-output optimal controllers, one for control of …
Published in Trends in Electrical Engineering · Vol. 4, Issue 3, 2014 · pp. 26–34 Read article
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Dynamic Analysis of the Proposed Bi-directional Converter for Charging and Discharging Operation
Abstract: AbstractThis paper proposes a fifth order bi-directional converter configuration with low current ripple on either side as well as good voltage conversion range having only three switches. This converter is implemented for load power levelling between a DC grid and secondary batteries. A comparative study of proposed topology with widely used bi-directional converter configurations is made and relative merits and demerits are pointed out. With state-space and discrete-time modelling techniques, …
Published in Journal of Semiconductor Devices and Circuits · Vol. 4, Issue 2, 2017 · pp. 41–51 Read article
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 3, 2021 · pp. 1–11 Read article
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Developing a Model in Matlab/Simulink Environment for Induction Motor Considering Core Loss and Stray Load Loss
Abstract: This paper focuses on a Matlab/Simulink model of a squirrel-cage induction motor with consideration of core loss and stray load loss. This model is based on some mathematical expressions and also described through an equivalent circuit including core loss and stray load loss. The model of induction motor has been developed based on the state space equations in a synchronously rotating reference frame, where core loss and stray load losses …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 1–12 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Investigations on the impact of modulation formats and weather conditions in FSO link employing polarization division multiplexing and coherent detection-orthogonal frequency division multiplexing
Abstract: Free space optics (FSO) is a communication system where free space acts as medium between transceivers and they should be in line-of-sight for successful transmission of optical signal. Medium can be air, outer space, or vacuum. This system can be used for communication purpose in hours and in lesser economy. There are many advantages of FSO like high bandwidth and no spectrum license. The transmission in FSO is dependent on …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 2, 2020 · pp. 17–25 Read article
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Pathloss and Coverage Analysis of FM Signals for Terrestrial Communication Design over Akure, Nigeria
Abstract: Accurate analysis of Free Space Loss (FSL) of electromagnetic radiations plays significant roles in the design and planning of terrestrial communication system at radio wave and microwave frequencies. Hence, it remains important to continuously evaluate the dependence of radio waves signal strength on the properties of the propagating medium. This work employed drive test technique and free space loss analysis of some Frequency-Modulated (FM) channels in Akure, Ondo State, Nigeria, …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 2, 2023 · pp. 8–21 Read article
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Fuzzy Logic and Energy Model based Speed and Direct Torque Control of SVPWM Inverter Fed Induction Motor
Abstract: This paper presents speed and direct torque controllers based on fuzzy logic for a space-vector modulated pulse width modulated inverter fed induction motor. The direct torque control has been designed by decoupling the torque and flux based on the energy model of induction motor. The designed direct torque control system can be accomplished by using constant switching frequency with space vector modulated pulse-width modulated inverter. In order to control the …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 11–21 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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Appliance Scheduling Optimization For Demand Response Using Schedulling Algorithm
Abstract: The exploration concentrates on the test of the power utilization the board in keen networks. It centers around various effects of interest reaction running in the savvy matrix connecting with buyers to take part. The principle obligation of the interest reaction framework is planning the activity of machines of customers to accomplish an organization wide advanced execution. Each taking an interest power purchaser, who claims a bunch of home machines, …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 2, 2021 · pp. 10–16 Read article
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Machine Learning for Soil Moisture Detection: Introduction, Approaches and Challenges
Abstract: The demand for agricultural is increasing day by day as the population of the world is increasing. So, it becomes necessary for us to increase the production of agricultural products. Traditional ways of agriculture cannot meet such requirements. Nowadays, machine learning based technologies are being used to develop models for agriculture. Machine learning-based applications are very fast and produce high-quality results. It includes recurrent neural networks (RNN), convolution neural networks …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 88–96 Read article
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Electrified Skateboard Simulation Using QSS Toolbox
Abstract: AbstractThe proposed aim of Electrified Skateboard is to scale down the conversion of existing vehicles running on the Internal Combustion Engine (ICE) to Battery Electric Vehicles (BEV) using Retrofitting Techniques. This approach is specifically aimed at the conversion of vehicles on a small scale. It is an interdisciplinary research model that is designed to keep in view of upcoming E-Mobility and Renewable Energy markets. Governments and Companies around the world …
Published in Journal of Microelectronics and Solid State Devices · Vol. 7, Issue 1, 2020 · pp. 18–25 Read article
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Reliability-Aware Mathematical Model for Radiation-Hardened Satellite Communication Systems
Abstract: Satellite communication systems operate in radiation environments in which total ionizing dose (TID), displacement damage, and single-event effects (SEE) can progressively degrade electronic, optoelectronic, and communication components and can ultimately reduce link availability and mission reliability. This paper develops a Reliability-Aware Radiation-Hardened Satellite Communication Model (R-RHSCM) that mathematically couples the orbital radiation environment, accumulated radiation dose, component degradation, communication-link performance, single-event failure probability, redundancy, thermal effects, and adaptive mitigation. The …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article