Exploring Adaptive Filters & System Identification — My First Winter Project in Electrical Engineering This winter, I had the opportunity to dive into the world of adaptive filters and system identification, powerful tools widely used in signal processing, communication systems, audio engineering, biomedical devices, and control systems. These techniques enable systems to learn and adapt in real time, making them essential in applications like noise/echo cancellation, channel equalization, and predictive modeling. Under the guidance of Prof.Nithin George, our team — Me(Pushkar kamble), @Mayank chaudhari and Shivansh Kapur , worked on understanding the fundamentals and dynamics of adaptive filters, with a focus on the LMS (Least Mean Squares) algorithm. Prof.Nithin George shared a research paper with us that introduced concepts such as: 1.Adaptive filters & echo cancellation 2.System identification 3.Recursive Least Squares (RLS) Regularization 4.Third-order tensor decomposition 5.Nearest Kronecker product While the paper covered advanced techniques, our project mainly focused on building a strong foundation on understanding what filters are, how they are developed, and how adaptive filters update themselves over time. 📌 What we did Built intuition for adaptive filter frameworks Developed simulations to perform system identification Implemented code to test how filters adapt over iterations Analyzed how the LMS algorithm updates filter weights Observed how the error between desired and predicted output decreases over time (shown in the simulation result below) Our results showed that LMS is highly effective for adaptive system identification, offering simplicity, stability, and good convergence behavior. This was our first hands-on project in electrical engineering, and it has strengthened our interest in signal processing and intelligent systems. Grateful for the learning, mentorship, and teamwork throughout this journey. Excited to explore more in this domain! Below is the image of the simulation of an adaptive filter which we have created. #AdaptiveFilters #SystemIdentification #LMSAlgorithm #SignalProcessing #ElectricalEngineering #LearningJourney #Research #TeamWork
Adaptive Filters & System Identification with LMS Algorithm
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[PDF] Nonlinear and Adaptive Control with Applications Alessandro Astolfi PhD, Dimitrios Karagiannis PhD, Romeo Ortega PhD (auth.) https://lnkd.in/eB7cS9fc Nonlinear and Adaptive Control with Applications provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms are delivered for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes. These algorithms cater for nonlinear systems with both parametric and dynamic uncertainties. This innovative strategy is illustrated with several examples and case studies from real applications. Power converters, electrical machines, mechanical systems, autonomous aircraft and computer vision are among the practical systems dealt with. Researchers working on adaptive and nonlinear control theory or on control applications will find this monograph of conspicuous interest while graduate students in control systems and control engineers working with electrical, mechanical or electromechanical systems can also gain much insight and assistance from the methods and algorithms detailed. digzon #simple #Engineering #AlessandroAstolfiPhD #DimitriosKaragiannisPhD #RomeoOrtegaPhDauth. https://lnkd.in/eQEVupMG
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Special Thanks to Piotr Demidowicz, Piotr Fiszer, Saad Ahmed from Texas Instruments and the team from FORVIA HELLA for all the support provided in bringing this project to life. The two-phase interleaved buck–boost DC–DC converter was developed as an educational and experimental platform intended to support hands-on learning and in-depth investigation of modern power electronics and digital control systems. The platform enables the study and practical implementation of the following key topics: 1. Analog sensing and digital data acquisition - Voltage sensing and measurement techniques - Current sensing and measurement techniques - Power and efficiency evaluation - Temperature sensing and monitoring 2. Step Up / Step Down DCDC Convertor transfer function behavior in dependancy of: - Duty cycle - Switching Frequency - Dead time (deadband) - Interleaving phase shift 3. Plant identification and frequency response analysis - Frequency response measurement using a Vector Network Analyzer (VNA) - Digital Signal Processing (DSP)-based frequency response analysis, including C2000 Software Frequency Response Analyzer (SFRA) techniques 4. Digital control loop design and validation a. Classic control strategies - Constant voltage regulation - Constant Current regulation - Constant Power control b. Advanced control techniques - Adaptive Control methods - Predictive Control methods 5. Hardware-in-the-Loop (HIL) and Model-Based Design using MathWorks - System modeling and simulation using MATLAB - Control design, verification, and implementation using Simulink This educational platform will offer students of Universitatea Politehnica din Timişoara a comprehensive environment for experimental learning and research in the areas of power electronics, data acquisition systems, digital signal processing, and closed-loop control theory. #DCDC #DSP #C2000 #DigitalControl https://lnkd.in/dV_XbNN5
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PDF Nonlinear and Adaptive Control with Applications Alessandro Astolfi PhD, Dimitrios Karagiannis PhD, Romeo Ortega PhD (auth.) https://lnkd.in/ezHUSTU7 Nonlinear and Adaptive Control with Applications provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms are delivered for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems. The methods proposed lead to modular schemes. These algorithms cater for nonlinear systems with both parametric and dynamic uncertainties. This innovative strategy is illustrated with several examples and case studies from real applications. Power converters, electrical machines, mechanical systems, autonomous aircraft and computer vision are among the practical systems dealt with. Researchers working on adaptive and nonlinear control theory or on control applications will find this monograph of conspicuous interest while graduate students in control systems and control engineers working with electrical, mechanical or electromechanical systems can also gain much insight and assistance from the methods and algorithms detailed. digzon #simple #Engineering #AlessandroAstolfiPhD #DimitriosKaragiannisPhD #RomeoOrtegaPhDauth. https://lnkd.in/eWyjiCNs
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We have the pleasure of inviting you to the public PhD defense of Xian Wu, entitled "Robust Acoustic Monitoring of Rotating Machinery: Advanced Methodologies in Source Separation, Data-Efficient Learning, and Physics-Informed Signal Processing". 📅 Date: Wednesday, 14 January 2026 📍 Location: Aula J. Van Der Eecken (HOGC 02.28), Hogenheuvelcollege, Naamsestraat 69, 3000 Leuven ⏰ Time: 17:00 Listening to industrial machinery to diagnose developing faults is a powerful, non-invasive approach to predictive maintenance. However, its real-world application is severely limited by a fundamental problem: the faint acoustic signature of an early-stage fault is typically drowned out by the overwhelming noise of a factory environment. Overcoming this challenge to prevent costly downtime and ensure operational safety is the primary target of this dissertation. This research introduces a versatile toolkit of intelligent signal processing and machine learning techniques to solve this issue. The core innovation is a multi-pronged approach. This includes a novel deep learning framework that can computationally separate interfering sound sources with high precision, resolving ambiguities that confound traditional methods. To overcome the practical scarcity of real-world fault data, this work also pioneers a strategy using simulations to effectively train diagnostic models. Finally, it introduces physics-informed methods specifically tuned to exploit the unique, repetitive signatures characteristic of faults in rotating machinery. By integrating these strategies, this thesis delivers a suite of validated tools that make acoustic monitoring significantly more robust and practical. This work provides a clearer path toward reliable, non-contact diagnostic systems that can operate effectively in complex industrial settings, ultimately leading to safer and more efficient machine operation. #LMSD #KULeuven #FlandersMake KU Leuven Flanders Make KU Leuven Faculty of Engineering Science KU Leuven Faculty of Engineering Technology KU Leuven Department of Mechanical Engineering/Departement Werktuigkunde
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#researchpaper #researchers #article #online #submissionsopen #RegisterNow #Register #Papersubmission #opencall #event #applynow #free #CallForPapers #callforsubmissions #submission #Submit #SubmitYourPaper #submitnow #deadline #phdstudent #phdresearch #research #ResearchScholar Mechatronics and Applications: An International Journal (MECHATROJ) Webpage URL: https://lnkd.in/fkNw35p Scope & Topics Mechatronics and Applications: An International Journal (MECHATROJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Mechatronics and Applications. The journal focuses on all technical and practical aspects of Mechatronics Engineering Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in mechanical design, computing, control systems, microprocessors, electronics and intelligent machines and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Mechatronics and applications. Topics of interest include, but are not limited to the following. Topics of interest include, but are not limited to, the following Automotive systems Autonomous systems Biomedical Engineering Control and Automation Design, Modeling and Simulation of Mechatronic systems Electrical Machines, Drives & Power Electronics Engineering and Automation Intelligent control Machine Design Manufacturing Engineering Measurement and Diagnostics Mechatronic Education Real-time Systems Robotics Signal Processing Paper Submission Authors are invited to submit papers for this journal through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Submission Deadline: January 12, 2026 Contact us: mechatrojjournal@airccse.com (or) mechatroj@aircconline.com (or) mechatrojjournal1821@gmail.com Submission URL: https://lnkd.in/fkX5-sA
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We are proud to share this new Northwestern Engineering feature highlighting the work of NUANCE Director Vinayak Dravid and Roberto dos Reis, Research Assistant Professor and Scientific Officer in the Dravid Group. This research showcases how advanced imaging and nanoscale characterization are enabling new insights into complex thermoelectric materials that were previously hidden from view. At NUANCE, we’re excited to support and accelerate discoveries like this by providing access to world-class instrumentation, interdisciplinary expertise, and collaborative infrastructure. McCormick School of Engineering 🔗 Read the full story: https://lnkd.in/gVZ-p9ip #NUANCE #NorthwesternEngineering #AdvancedImaging #ElectronMicroscopy #MaterialsScience #InterdisciplinaryResearch
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From Transistors to Robots: A Deep Dive into Electronic Engineering. Electronic Engineering is a dynamic field focused on the design, development, testing, and application of electronic circuits, devices, and systems. This fascinating field ranges from tiny transistors to complex, revolutionary products—such as self-driving vehicles, humanoid robots, smart cities, battery management systems, biomedical devices, and satellites. It often combines core electrical concepts with other engineering disciplines to create the technology we rely on every day. In short, it is a major player in shaping the big picture of our modern world. To understand the scope of the industry, here are some of the primary sub-fields of electronic engineering: ● Analog & Digital Electronics: Dealing with continuous signals, amplifiers, and linear circuits (Analog) versus discrete signals, logic gates, and digital systems (Digital). ● Power Electronics: Managing the efficient conversion and control of electrical power. ● Embedded Systems: Integrating hardware and software to perform specialized, dedicated tasks. ● Microelectronics: The design and manufacturing of integrated circuits (ICs) and microchips. ● Signal Processing: Analyzing, modifying, and synthesizing signals (spanning audio, video, and data). ● Telecommunications: Focusing on wireless communication andnetworking. ● Robotics: Combining electronics, mechanics, software, and control theory to build automated systems. Mathematics is the true language of this field. To succeed, electronic engineers need a strong foundation in mathematics, physics, and statistics: ● Mathematics: Calculus, linear algebra, and differential equations. ● Physics: Electromagnetism, quantum mechanics, thermodynamics, and fluid mechanics. ● Statistics & Probability: Essential for analyzing sensor data and training AI models. There are many more core subjects, focus areas, and practical skills required for the field, which you can see detailed in the attached mind map. Personally, this is my favorite engineering category. In the upcoming blogs, we will take a deep dive into electronics, starting with a closer look at Embedded Systems in the next post. — Avishka Dilshan ProjectElectron | BluePrint 003 #Electrical #Electronic #Engineering #STEM #DailyLearning
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