Amanual T.

I am a dedicated researcher specializing in electrical engineering, with a focus on system control engineering. My expertise lies in leveraging advanced technical computing software to tackle complex problems, develop innovative solutions, and perform rigorous testing. I am proficient in MATLAB, PLC programming, system modeling, and analysis. My skills also extend to developing robust computer algorithms and models to address a wide array of technical challenges. Technical Skills: Linear Control: - Proportional-Integral-Derivative Control (PID) - Linear Quadratic Regulator (LQR) - Model Predictive Control (MPC) Nonlinear Control: - Continuous and Discontinuous Control - Sliding Mode Control - Nonlinear Model Predictive Control (NLMPC) Optimal Control: - Linear Quadratic Regulator (LQR) / Linear Quadratic Gaussian (LQG) Control - Model Predictive Control (MPC) - Reinforcement Learning - Extremum Seeking Control - H-Infinity Synthesis Optimization Algorithms: - Particle Swarm Optimization (PSO) - Bacterial Foraging Optimization (BFO) - Genetic Algorithms (GA) - Custom Algorithm Development Intelligent Control: - Neural Networks - Deep Learning Plant Experience: - Robotics - Unmanned Aerial Vehicles (UAVs) - Induction Motors - Brushless DC Motors - Electric Vehicles - Photovoltaic (PV)