Master the fundamentals of control systems with a comprehensive course designed for both engineering students and professionals. Learn classical and modern control theory with hands-on experience using MATLAB. This course is tailored to take you from the basics to advanced control concepts, ensuring a deep understanding of control systems that are integral to industries such as aerospace, automotive, and robotics.
Course Breakdown
Introduction to Control Systems
Learn the basics of control theory, including feedback mechanisms, open and closed-loop systems, and performance measures.Second Order Systems and Higher Order Systems
Understand how higher-order systems behave, focusing on system response and stability.System Response and Block Diagrams
Delve into the relationship between input and output in control systems, exploring block diagram representation and reduction.Advanced Control Methods
Study root-locus, bode plots, and Nyquist criteria for control system stability and performance analysis.Modern Control Approaches with MATLAB
Gain hands-on experience with MATLAB to design and simulate control systems using state-space and digital control techniques.
5 Major Takeaways
Deep understanding of control systems
Explore both classical and modern control theories in-depth.Proficiency in MATLAB for control systems
Apply MATLAB tools to analyze and design control systems.Knowledge of key control concepts
Master topics like system response, root-locus, and bode plots.Real-world application of control systems
Learn how to implement control systems in practical engineering scenarios.Advanced concepts in state-space and optimal control
Explore the cutting-edge techniques in control system research.
Who Should Take This Course?
- Engineering students aiming to strengthen their understanding of control systems.
- Practicing engineers who want to upgrade their knowledge in modern control theory.
- Anyone interested in learning about control systems and their applications.
What You Will Learn
- Comprehensive knowledge of classical and modern control systems.
- Key concepts like system response, root-locus, bode plots, and nyquist.
- How to utilize MATLAB for control system analysis and design.
- Advanced topics such as state-space, digital control, and optimal control.
- Practical problem-solving skills for real-world control systems applications.
Requirements
- Background in dynamics and differential equations recommended.
- Basic knowledge of physics is helpful for a smooth learning experience.
This course includes:
- 22 hours on-demand video
- 4 articles
- 37 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion