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267 articles for “Adaptive Control Systems”
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Design And Implementation of Controllers for Quadruple Tank System
Abstract: Process industries have tightly integrated processes which are non-linear and have multiple manipulated and controlled variables. Level measurement plays an important role in many industries. In this paper, the level of the two lower tanks has to be controlled. Three different controllers have been designed and implemented by manipulating the motorised control valve. Conventional controllers may not perform well because of the variations in process dynamics and disturbances around them. …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 25–32 Read article
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Critical Review on Multifunctional Polymer Composites for Weight Reduction and AI Based Battery Thermal Management in Electric Vehicles
Abstract: The rapid growth of electric vehicles (EVs) has intensified the need for advanced materials and intelligent control systems capable of improving energy efficiency, driving range, thermal safety, and overall vehicle sustainability. This paper presents a critical review of multifunctional polymer composites and artificial intelligence-based battery thermal management systems (AI-BTMS) for next-generation EV applications. Polymer composites reinforced with carbon fibers, graphene, boron nitride, nanoclays, and carbon nanotubes offer significant advantages over …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 603–619 Read article
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Design and Implementation of an Automatic Rain Sensing Wiper System Using SEN0545 Sensor and Raspberry Pi Pico W
Abstract: This study presents the design and development of an intelligent, automatic rain-sensing wiper system designed to enhance vehicle safety. The system utilizes a SEN0545 capacitive rain sensor, integrated with internal signal processing, and a Raspberry Pi Pico W microcontroller as its central control unit. The proposed approach enables non-contact and corrosion-free rain detection, ensuring reliable performance under varying environmental conditions. Based on the detected rainfall intensity, the controller dynamically adjusts …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 16–25 Read article
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Robust Control System for Missiles in the Presence of Uncertainty and Disturbances: A Comprehensive Review
Abstract: In today's warfare and defense systems, when precise and quick maneuvering is essential for mission accomplishment, missiles play a critical role. Nonetheless, the intricacy of missile dynamics by itself, combined with external disruptions and unpredictabilities in operational circumstances, provides challenging but ambitious conditions for achieving precise trajectory tracking and robust flight control. Missiles perform in highly dynamic and uncertain environments where factors such as aerodynamic disturbances, various atmospheric conditions, and …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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Redefining Road Safety: A Comprehensive Literature Review on Computer Vision for Speed Breaker Detection in Vehicle
Abstract: This literature review focuses on the use of computer vision techniques for detecting speed breakers on roads, with the objective of improving road safety. Speed breakers play a crucial role in controlling vehicle speeds and ensuring pedestrian safety, but their sudden appearance can lead to accidents, discomfort, and damage to vehicles. The review highlights five key points derived from the analysis of existing literature. Firstly, various computer vision algorithms, including …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 52–63 Read article
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Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems
Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Sustainable Air Conditioning Technologies: Innovations and Future Prospects
Abstract: The increasing demand for air conditioning across the globe, especially in emerging economies, has placed a significant strain on energy resources and contributed to rising greenhouse gas emissions. Conventional air conditioning systems, which largely rely on vapor compression cycles and high-GWP (global warming potential) refrigerants, are energy-intensive and environmentally unsustainable. In response to these challenges, there has been a growing focus on developing sustainable air conditioning technologies that are energy-efficient, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 26–31 Read article
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A study on Controlling Artificial Heart
Abstract: The artificial heart has moved from a visionary concept to a clinically viable organreplacement technology, yet its longterm success hinges on the sophistication of its control architecture. This paper presents a comprehensive investigation of closedloop control strategies that enable an artificial heart to mimic the dynamic, beattobeat adaptability of its biological counterpart. We first construct a highfidelity cardiovascular model that integrates ventricular elastance, systemic and pulmonary vascular compliance, and realtime …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 14–23 Read article
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Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 Read article
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Fuzzy Based Power Flow Control in Grid Connected Hybrid PV-PEMFC Microgrid System
Abstract: This paper evaluates the performance of a fuzzy based power flow control of grid connected hybrid system. The hybrid system composed of a Photovoltaic (PV) array and a Proton exchange membrane fuel cell (PEMFC) is considered. The photovoltaic (PV) array normally uses a maximum power point tracking (MPPT) technique to continuously deliver the highest power to the load when there are variations in irradiation and temperature occur, which make it …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 20–29 Read article
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Lyapunov-Stable Adaptive Fractional-Order Interval Type-2 Fuzzy Control for Robust Anti-Lock Braking Under Uncertain Road Adhesion Conditions
Abstract: This paper proposes a Lyapunov-stable Adaptive Fractional-Order Interval Type-2 Fuzzy Logic Controller (FO-IT2FLC) for robust anti-lock braking system (ABS) control under nonlinear vehicle dynamics and uncertain road adhesion conditions. The proposed framework integrates fractional-order error dynamics to capture memory-dependent tire–road interaction, interval Type-2 fuzzy inference to model uncertainty via footprint-of-uncertainty representation, and a Lyapunov-based adaptive learning mechanism for real-time parameter tuning. A rigorous stability proof guarantees boundedness of all closed-loop …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 31–41 Read article
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DC Motor Speed Control Using Arduino & L298N Motor Driver
Abstract: The focus of this project is on developing a DC motor speed controller using an Arduino microcontroller and an L298N motor driver module. The goal is to create a flexible and effective system that can control the speed, direction of a DC motor through PWM signals generated by the Arduino. The project utilizes the Arduino platform for its flexibility, ease of programming, and wide availability of resources, while the L298N …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Spatiotemporal Analysis of Mean-Field Coupled Lorenz Oscillators for Applications in Electronic Network Design and Chaotic Synchronization
Abstract: This study investigates the spatiotemporal behavior of a network of 100 coupled Lorenz oscillators interacting through mean-field coupling with coupling strength κ = 0.1 and explores its relevance to electronic system design and nonlinear network architectures. While each oscillator follows classical Lorenz dynamics, the coupling mechanism enables collective behavior that resembles synchronization phenomena observed in distributed electronic and communication systems. Numerical simulations reveal rich dynamical characteristics including partial synchronization, emergent …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 1–9 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article
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Adaptive-Hysteresis Current Controller Based Shunt Active Power Line Conditioners for Power Quality Improvements
Abstract: This paper presents three-phase shunt active power line conditioners (APLC) for harmonics and reactive powercompensation due to non-linear loads in the distribution network. The compensation process proposed is asinusoidal extraction control method, which consists of positive-sequence voltage detector for regulating thesupply voltage and instantaneous reactive power (p-q) theory for fundamental extraction from the distorted linecurrent. The shunt active filter voltage source inverter’s switching pulses are generated through an adaptivehysteresiscurrent controller …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 1–13 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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A Smart Stove System for cooking food: A study
Abstract: Traditional cooking methods often suffer from inconsistencies, safety concerns, and a lack of real- time feedback, leading to suboptimal culinary results, potential hazards, and inefficient energy consumption. This paper introduces the design and implementation of an innovative Smart Stove System engineered to address these challenges comprehensively. Leveraging Internet of Things (IoT) principles, the system integrates an array of precise sensors (e.g., temperature, flame/gas detection, weight) with a sophisticated microcontroller, smart …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article