ABSTRACT
R.D. Harbor, R.G. Jacquot, J.E. McInroy, D.P. Atherton ........................................................... 11-1
12 Navigation Systems M. Kayton .............................................................................................. 12-1
13 Environmental Effects K. Blades, B. Allenby, M.M. Blazek ................................................. 13-1
14 Robotics T.A. Lasky, T.C. Hsia, H.E. Jenkins, M.L. Nagurka, T.R. Kurfess,
N.G. Odrey ................................................................................................................................... 14-1
15 Aerospace Systems C.R. Spitzer, D.A. Martinec, C.T. Leondes, V. Tuzlukov,
W-S. Yoon, Y.D. Kim ................................................................................................................... 15-1
16 Embedded Systems G. Martin, L. Lavagno, H. Hansson, M. Nolin, T. Nolte,
K. Thramboulidis ......................................................................................................................... 16-1
17 Welding and Bonding G.E. Cook, R. Crawford, D.R. DeLapp, A.M. Strauss..................... 17-1
18 Human-Computer Interaction E.P. Rozanski, A.R. Haake................................................. 18-1
19 Decision Diagram Technique S.N. Yanushkevich, V.P. Shmerko ........................................ 19-1
20 Vehicular Systems L.S. Boehmer ............................................................................................ 20-1
William L. Brogan
Gordon K.F. Lee
Andrew P. Sage
Hitay O
¨
zbay
Charles L. Phillips
Royce D. Harbor
Raymond G. Jacquot
John E. McInroy
Derek P. Atherton
A naive trial-and-error approach to the design of a control system might consist of constructing a controller,
installing it into the system to be controlled, performing tests, and then modifying the controller until
satisfactory performance is achieved. This approach could be dangerous and uneconomical, if not impossible.
A more rational approach to control system design uses mathematical models. A model is a mathematical
description of system behavior, as influenced by input variables or initial conditions. The model is a stand-in
for the actual system during the control system design stage. It is used to predict performance; to carry out
stability, sensitivity, and trade-off studies; and answer various ‘‘what-if ’’ questions in a safe and efficient
manner. Of course, the validation of the model, and all conclusions derived from it, must ultimately be based
upon test results with the physical hardware.
