Control Systems Part 2: State-Space and Digital Methods

Ready to move beyond classical control techniques? This course provides the essential next step in understanding and designing sophisticated control systems. By the end of this course, you will be able to analyze complex dynamic systems using state-space models, assess critical system properties like controllability and observability, and begin designing digital controllers for various applications. What you'll learn: * Understand how to represent dynamic systems using state-space equations. * Learn to analyze system properties including controllability and observability. * Design state-feedback controllers and state observers for desired system behavior. * Apply Z-transform techniques for analyzing discrete-time control systems. * Understand the fundamental principles of digital controller design and implementation. * Practice evaluating the stability and performance of state-space and digital control systems. The course begins with a thorough introduction to state-space modeling, progressing through detailed system analysis, controller design, and observer implementation. It then transitions into the essential principles of digital control, covering discrete-time system analysis and basic digital controller design. This course is designed for beginners who have completed a foundational course in classical control systems and are eager to expand their knowledge into more modern techniques. No prerequisites beyond basic classical control and linear algebra are required. Start your journey towards mastering modern control system design by delving into these crucial concepts.