Dynamic Optimization

Course #AE4850

Est.imated Completion Time: 3 months

Overview

This course develops basic measures of performance of a dynamic system with methods to target a set of conditions and optimize the performance. Topics include an overview of the Guidance, Navigation and Control System, state-space models, performance measures, problem of Bolza, the Maximum Principle, and transversality conditions. A significant focus of the course will be in practical methods and numerical techniques for solving boundary value problems. Computational methods will be used to solve a wide range of problems in dynamic optimization arising in combat systems such as rapid vehicle reorientation and targeting problems. Applications include UxVs, autonomous systems, aerospace vehicles and robotic systems. Where appropriate, the course will illustrate systems aspects of mission design and operations.

Included in degrees & certificates

299
569

Prerequisites

MA2121
SS3500
AE3815

Learning Outcomes

At the completion of the course students will be able to:

Understand the principles of astrodynamic optimization.
Acquire working knowledge of practical tools used in industry.
Exploit MATLAB-based tools for solving problems in dynamic optimization.

Offerings database access

Asset Publisher

Application Deadlines

08 Jul 2024

Fall Quarter applications due