Optimal Control and Estimation
MAE 546

Robert Stengel

Princeton University
School of Engineering and Applied Science
Department of Mechanical and Aerospace Engineering
Spring 2013
Tuesday and Thursday, 3-4:20 pm
J-201, Engineering Quadrangle

Designing control logic that commands a dynamic system to a desired output or that augments the system's stability is a common objective in many technical fields, ranging from decision-making for economic and social systems through trajectory control for robots and vehicles to the development of optimal therapeutic protocols for treating disease. If the control objective can be expressed as a quantitative criterion, then optimization of this criterion establishes a feasible design for control logic. This course addresses the theory and application of optimal control, including the effects of uncertain inputs (i.e., disturbances) and measurement error.

MAE 546 Syllabus

2013 Lecture Slides

Titles of Previous Term Papers

The primary reference for this course is OPTIMAL CONTROL AND ESTIMATION, R. F. Stengel, Dover Publications, 1994. Additional books that are useful for reference include:

key words: optimization, optimal control, probability theory, statistics, optimal state estimation, control systems, nonlinear control, adaptive control.
Last updated May 28, 2013.
Copyright 2013 by Robert F. Stengel. All rights reserved.