Dynamic Optimization Applications
Dynamic optimization is a decision making process with differential and algebraic equation mathematical models to formulate smart policies on the basis of predictions of future outcomes. A broad range of tools and techniques are available for this type of analysis.
Below are a representative applications that are both simple in nature and fast to compute. The purpose of this compilation is to demonstrate how to set up, solve, and analyze the problems. Comment sections are available at the bottom of each page to discuss alternative strategies.
- Aircraft Control
- Batch Reactor
- Brachistochrone
- Bryson-Denham Problem
- Oil Shale Pyrolysis
- Rocket Launch
Dynamic optimization course content is available at https://apmonitor.com/do. There are similar optimal control problem solutions listed under the benchmarks and more benchmarks pages.