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54 articles for “non-linear optimization”
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Numerical Simulation of Multiple Objective Power Flow Optimization in IEEE-30 Bus System Using Improved Particle Swarm Optimization
Abstract: OPF algorithms are an important research topic for the management and orchestration of profitable power structures. Perfect Power Flow is used to limit the objective work. This goal cap can be a single goal or various aim limits. In this study, we have carried out a perfect energy stream to limit the cost of fuel while fulfilling limitations, such as the tension and the electricity yields of the generator, which …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 23–28 Read article
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Seismic Retrofitting of Floating Column Building with Fluid Viscous Dampers and Structural Bracings by using Fast Non-linear Time History Analysis
Abstract: In some of the building structures, even in the newly constructed one, floating columns are used to achieve an aesthetic view or to satisfy the space requirement criteria of building areas like reception lobbies, parking spaces, conference rooms in malls etc. With the use of proper design considerations, buildings built with floating columns, which otherwise are not advised by the codes, can withstand vertical loads, i.e., gravity loads and live …
Published in Journal of Offshore Structure and Technology Read article
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Numerical Simulation of Hybrid GSA Based Optimal Power Flow for Multi Objective Optimization Strategy
Abstract: Restricted nonlinear optimization in electric power systems engineering is a topic of Optimal Power Flow (OPF) that has been extensively investigated. It has been a long and remarkable history for the OPF, which was founded in the 1960s, of research and publication. Newcomers to OPF research face a challenging undertaking since there is so much information available and because OPF's popularity within the electric power systems community has prompted authors …
Published in Journal of Instrumentation Technology & Innovations · Vol. 11, Issue 3, 2021 · pp. 24–32 Read article
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Optimized Companding Technique using Firefly Algorithm for PAPR Reduction in OFDM System
Abstract: AbstractThe current trends in wireless industry are based on multi-carrier transmission technique such as Orthogonal Frequency Division Multiplexing (OFDM) which provides high data rates and is highly immune to frequency selective fading. However, OFDM is handicapped with a major problem of high peak-to-average power ratio (PAPR), which gives rise to non-linear distortion, inter-symbol interference and out-of-band radiation. Several PAPR reduction techniques have been devised over the last few decades in …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 2, 2015 · pp. 8–14 Read article
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Review on Improving the Fuel Efficiency of a Hydraulic Excavator using various Optimization methods
Abstract: Due to global warming & rising energy cost, it has become the need of society to develop new techniques for pollutant emission & reduction of fuel consumption. This paper provides a comprehensive review of recent research on the energy-saving technology for minimizing the specific fuel consumption up to a certain level. The development, application and performance of hybrid hydraulic excavation system were analysed. These developed model system can be optimized …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 7–12 Read article
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Controlling of Level Process in Non-Linear System Using Variable Frequency Drive
Abstract: Abstract—The objective of this paper is to investigate the Model Predictive Control (MPC) strategy, analyze and compare the control effects with Proportional-Integral-Derivative (PID) control strategy in maintaining a level of spherical tank system using VFD. An advanced control method, MPC has been widely used and well received in a wide variety of applications in process control, it utilizes an explicit process model to predict the future response of a process …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 24–33 Read article
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Genetic Algorithm Based Simulation for IEEE-30 Bus System Multi-Objective Power Flow Design
Abstract: In order to control and orchestrate profitable power structures, OPF algorithms are a critical area of research. Perfect Power Flow is utilised to keep objective work to a minimum. This goal restriction might be a single goal or a set of goals. In this work, we used a perfect energy stream to reduce the cost of fuel while meeting constraints such as generator tension and electrical yields, which are used …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 9–15 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Optimization of Helical Spring Weight using Meta-heuristic Algorithms
Abstract: Optimization is the act of obtaining the best results under given circumstances. A mathematical theory of optimization is highly in use and is being applied to design where design function can be expressed mathematically. Many techniques like Linear Programming, Branch & Bound technique, Dynamic Programming methods are available to solve optimization problems. But these conventional Methods suffer from certain drawbacks like sticking at suboptimal solution, inefficiency in handling problems having …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 21–28 Read article
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Delay Analysis for VLSI Interconnect’s Circuits
Abstract: This research work has been comprised of three parts. The first part deals with the implementation and estimation for the delay of an inverter and study of the influence of the delay variations with the increased size of the inverter. In this modern era of VLSI integrated circuits, interconnect’s delay majorly influences the device delay. The second phase of the work emphasizes on the realization of the interconnect delay and …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 3, 2015 · pp. 25–32 Read article
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Performance Investigation on Boost Converter with Non-Isolated Coupled Inductor Using PSO-DFFP Controller with Stand-Alone PV System
Abstract: The stand-alone PV system with a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller based Boost converter is designed with coupled inductor has been simulated. The steady state / dynamic performance of the proposed system have been analyzed using MATLAB simulation. The proposed controller has been developed to decrease ripple and improve the efficiency of the system. However, the linear controllers are influenced by the system parameters of …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 32–49 Read article
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Levels of Some Essential and Non-Essential Metals in Selected Cereals Marketed at Holeta City, Ethiopia
Abstract: Cereals are the most commonly and widely used sources of food in Ethiopia; hence determining the nutrient contents has a vital importance for the health of consumers. In the present study, the concentration of metals (Na, K, Fe, Cu, Mn, Zn, Ni, Cd, Co, Pb, and Ag) were determined in three cereal types (maize, sorghum and barely) using FAAS and flame photometry. The optimized wet digestion involving both, concentrated HNO3 …
Published in Research and Reviews: A Journal of Toxicology · Vol. 6, Issue 3, 2016 · pp. 19–24 Read article
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LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis
Abstract: The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant. Classical Proportional-Integral-Derivative (PID) controllers, while widely employed in industrial practice, exhibit fundamental performance limitations when applied to such systems, primarily due to their inability to account for multivariable coupling, process noise, and the absence of a systematic optimization framework. This paper presents …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 31–43 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
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“FORCE-DISPLACEMENT TRADE OFF” OF RCC BUILDING LOCATED AT VARIOUS SEISMIC ZONES AND SITE CONDITION ADOPTING TIME-HISTORY ANALYSIS
Abstract: Earthquake-resistant or aseismic design are considered to protect buildings to some or greater extent from earthquakes. The force-displacement trade off of structures located in various seismic zones are different in nature depending on intensity of earthquake. No structure can be fully immune to damage from earthquake, the vulnerability can be reduced for safety and durability. The force-displacement behavior of a particular structure can be modified to withstand seismic occurrence preventing …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 14–32 Read article
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Control System Design and Performance Analysis of PID and IMC controllers for Continuous Stirred Tank Reactor (CSTR)
Abstract: The Continuous Stirred Tank Reactors (CSTRs) are one of the most important parts of chemical process industries and sewage treatment plants. They also have various other miscellaneous applications. So, they are very important from industrial point of view, economic point of view and environmental point of view. The CSTRs have complex non-linear dynamic characteristics. In this paper, mathematical model is developed followed by SIMULINK model. The temperature control of the …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 1, 2019 · pp. 16–22 Read article
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Renewable Solar Energy Prediction in India : 2025-2030
Abstract: As India endeavors to realize its objective of achieving 500 GW of renewable energy capacity by the year 2030, the precise forecasting of solar power generation is rendered increasingly essential. This scholarly article conducts a comprehensive review of the utilization of machine learning (ML) methodologies in the prediction of solar energy across diverse Indian states, underscoring their potential to address the complexities associated with the variability of solar irradiance. Conventional …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Application of Compressive Sensing for Sampling and Reconstruction of MRI Images
Abstract: In recent years, a new theory of compressive sensing has evolved which asserts that super resolved signals and images can be recovered with far fewer samples than that demanded by the Nyquist sampling theorem. It is required that the signal being sensed has a low information-rate meaning that it is sparse in original or some transform domain. Former approaches capture the complete signal and process it to extract the information. …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 42–48 Read article
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Inverse Model for Predicting Thermal Abnormality of the Transient Process Triggered by Defective Electronics Element
Abstract: The paper presents a model for predicting thermal abnormalities in Printed Circuit Boards (PCBs) by approximating the thermal process of electric elements with heating from point sources. Circuit board heat sources are defined as point and non-point. The point heat source is a small electronic heating element that can be approximated as having originated from one point on the circuit board. A non-point source is one with heat distributed over …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 24–31 Read article