Third Edition. — Prentice-Hall, 1991. — 653 p.
Background and preview
Highlights of classical control theory
State variables and the state space description
Fundamentals of matrix algebra
Vectors and linear vector spaces
Simultaneous linear equations
Eigenvalues and eigenvectors
Functions of square matrices and the cayley-hamilton theorem
Analysis of continuous- and discrete-time linear state equations
Stability
Controllability and observability for linear systems
The relationship between state variable and transfer function descriptions of systems
Design of linear feedback control systems
An introduction to optimal control theory
An introduction to nonlinear control systems
Answers to problems