
Comprehensive exploration of advanced process control techniques, covering linearization, modeling, stability analysis, stochastic processes, and control design methods for complex industrial systems.

Explore advanced fluid dynamics simulation techniques, from governing equations to turbulence modeling and complex geometries, enhancing your computational skills for real-world applications.

Rapid overview of optimal control concepts, covering controllability, observability, LQR, and Kalman filter. Applies main approaches to simple Matlab examples for practical understanding.

Learn MATLAB basics for data analysis, control systems, and signal processing. Covers variables, operations, scripts, functions, and linear algebra in a beginner-friendly tutorial.

Explore saddle-node, transcritical, pitchfork, and Hopf bifurcations in dynamical systems. Learn how these phenomena affect phase portraits and system behavior as parameters change.

Learn ARM-based embedded system design, from architecture to practical applications. Covers microcontrollers, sensors, actuators, and IoT, with hands-on experiments using STM32F401 and Arduino boards.

Comprehensive exploration of robotics fundamentals, covering kinematics, dynamics, motion planning, control, grasping, and mobile robotics. Ideal for those seeking in-depth understanding of modern robotic systems.

Exploring deep reinforcement learning for autonomous control systems, from fusion plasma to robotics, with a focus on data-efficient methods for real-world applications.

Explore analog circuits, from op-amps and filters to oscillators and BJTs. Learn about frequency response, stability, and non-linear applications in this comprehensive course.

Comprehensive exploration of control systems, covering theory, analysis techniques, and practical problem-solving. Ideal for engineering students and professionals seeking in-depth understanding.

This course describes modern topics of Power Electronics in terms of switches, topologies and control. Moreover, the proposed course explains the application of Power Electronics in drives, Power Systems and Renewable Energy and other utility.

Explore Kalman Filter implementation on inverted pendulum using Matlab, covering theory and practical application in dynamical systems and control engineering.

The course will basically deal with the following topics: Introduction, Detroit type automation, Analysis of automated flow lines, Automated assembly systems &Orientation of parts in automatic assembly.

Learn to model electrical systems using signal flow graphs, with a focus on conversion techniques and practical problem-solving for control systems engineering.

Learn strategies for integrating online content into campus-based programs, enhancing pre-matriculation preparation and improving classroom experiences through blended learning approaches.

Explores Control Barrier Function methods for collision avoidance in multi-agent systems, comparing stability and effectiveness of different algorithms through simulations and vehicle experiments.

Exploring the intersection of robot design and planning, this seminar discusses computational approaches to simplify design processes and make formal statements about design feasibility across various robotic systems.

This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods.

Explore cutting-edge research in embodied intelligence, covering topics like experiment design, neuro-symbolic models, robot design, speech recognition, and social perception.

Comprehensive exploration of network theory, signals, and systems, covering elements, parameters, transforms, frequency response, synthesis, graph theory, impedance, filters, and Fourier series.

Comprehensive exploration of control engineering principles, from basic concepts to advanced techniques, covering system modeling, analysis, and design methods for various control applications.