Optimal Control and Estimation
MAE 546

Robert Stengel

Princeton University
School of Engineering and Applied Science
Department of Mechanical and Aerospace Engineering
Spring 2017
Tuesday and Thursday, 3-4:20 pm
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.

The course is offered as 24 collaborative seminars. Class discussions are based on seminar slides and conducted primarily by students, all of whom will have reviewed the slides and done the assigned reading. New material, including recent technical papers, will be introduced and discussed. Project-oriented assignments will be suggested and critiqued through the term. The course will be graded on seminar participation and a final paper.

MAE 546 Syllabus

2017 Seminar 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 may be useful for reference include:

key words: optimization, optimal control, probability theory, statistics, optimal state estimation, control systems, nonlinear control, adaptive control.
Last updated May 24, 2017.
Copyright 2017 by Robert F. Stengel. All rights reserved.