Numerical Optimization and Optimal Control in MATLAB

Chemical processes require precise control and optimization to run safely and efficiently, yet setting up these mathematical models can feel overwhelming. This text-based course guides you through the core principles of numerical optimization and optimal control without complex jargon. You will transition from understanding basic chemical engineering systems to writing robust MATLAB scripts that solve real-world dynamic optimization problems. What you'll learn: 1. Learn the foundational mathematical concepts of optimal control and numerical optimization. 2. Formulate objective functions and constraints for chemical engineering processes. 3. Write structured MATLAB scripts to solve boundary value and dynamic optimization problems. 4. Apply modern numerical solvers to simulate and optimize reactor designs. 5. Analyze system sensitivity and interpret optimization results to make data-driven engineering decisions. Starting with essential definitions and governing equations, the course progresses step-by-step through numerical methods, algorithm selection, and practical scripting exercises. This course is designed for engineering students and practicing professionals new to process control, with no prior optimization experience required. Start mastering optimal control and elevate your chemical engineering design skills today.