Siouris G.M. An engineering approach to optimal control and estimation theory

Wiley, 1996. — 424 p. — ISBN10: 0471121266; ISBN13: 9780471121268.This combined text and reference deals with the design of modern control systems. It is the first book in this rapidly growing field to approach optimal control and optimal estimation from a strictly pragmatic standpoint. Sidestepping the realm of theoretical mathematics, An Engineering Approach to Optimal Control and Estimation Theory offers realistic and workable solutions that can be put to immediate use by electrical and mechanical engineers in aerospace and in many other applications.The book presents systematic, accessible coverage of all important topics, including:
All basic mathematics needed to apply subsequent information
A historical perspective on the evolution of modern control and estimation theory
All major concepts relevant to the design of modern control systems--from the Kalman filter, to linear regulators, to decentralized Kalman filters
Practical examples useful in applying the principles under discussion
Problems at the end of each chapter
Carefully selected references from the vast number of books published on this subject
Appendixes reviewing matrix algebra that is central to modern control theory, as well as matrix subroutines, useful to both students and practicing engineersIn its highly-organized overview of all areas, the book examines the design of modern optimal controllers requiring the selection of a performance criterion, demonstrates optimization of linear systems with bounded controls and limited control effort, and considers nonlinearities and their effect on various types of signals.
An Engineering Approach to Optimal Control and Estimation Theory is an invaluable, self-contained reference for practicing engineers, a useful text for graduate students and qualified senior undergraduates, and an important resource for anyone interested in the future of modern control technology.