🎯 Sliding Mode Control (SMC) with Event-Triggered Updates is one of the most powerful robust control techniques used to stabilize nonlinear systems. In this video, we apply it to Maglev and Inverted Pendulum systems under false-data injection (FDI) attacks, showcasing resilience, robustness, and efficiency in a cyber-physical environment.
🔋 What’s inside this video?
Introduction to Maglev and Inverted Pendulum dynamics
Sliding Mode Control theory and event-triggered update mechanism
Simulation of Maglev & inverted pendulum systems under data injection attacks
Comparative performance with/without event-triggered updates
Insights for thesis writing, IEEE-style publications, and research projects
🌍 Who should watch this video?
This is designed for PhD/MSc students, researchers, and engineers in:
Control Systems Engineering
Cyber-Physical Systems Security
Nonlinear and Robust Control (SMC, Adaptive, Event-Triggered)
MATLAB/Simulink-based Research Projects
Academic thesis/dissertation development
📊 Applications include:
✅ Maglev transport & levitation control
✅ Robotics & inverted pendulum stabilization
✅ Smart grid & renewable energy systems security
✅ Defense against cyber-attacks on critical control infrastructure
📦 Get Project Files / Assignment Help
🌐 Website: www.matlabprojectscode.com
📱 WhatsApp: https://wa.me/+918300015425
📧 Email: matlabprojectscode@gmail.com
👉 Don’t forget to Like 👍 | Share 🔄 | Subscribe 🔔 for more research-level MATLAB/Simulink, control systems, and cyber-security projects.
#SlidingModeControl #Maglev #InvertedPendulum #EventTriggeredControl #CyberSecurity
Two-Area Load Frequency Control (LFC) using Grey Wolf Fuzzy-PID Controller | MATLAB Simulink Simulation This video presents the modeling and simulation of a Two-Area Power System Load Frequency Control (LFC) using an intelligent hybrid controller — the Grey Wolf Optimization (GWO) tuned Fuzzy-PID Controller implemented in MATLAB/Simulink. The proposed controller improves dynamic performance, frequency stability, and tie-line power oscillation damping compared to conventional PID and Fuzzy controllers. 👨💻 Project Support 🌐 www.matlabprojectscode.com 📧 matlabprojectscode@gmail.com 📱 WhatsApp: +91 8300015425 🔍 Topics Covered Modeling of two-area interconnected thermal power system Governor, turbine, and tie-line power flow representation Fuzzy logic controller for adaptive gain tuning Grey Wolf Optimization (GWO) algorithm for optimal PID parameter selection Simulation of load disturbances and system response Comparison of PID, Fuzzy-PID, and GWO-Fuzzy-PID controllers Performa...
Comments
Post a Comment