Includes bibliographical references and index.

Part 1 Introduction: a motivating example; classical control theory; state-space control theory; sampling and reconstructing an analogue signal; digital control theory; example. Part 2 Linear algebra and matrix theory: the vector space; linear independence, bases and subspaces; matrices; matrix subspaces and projections; eigenvalues and eigenvectors; the singular value decomposition; linear equations. Part 3 State space and transfer function models: transforms and transfer systems; state-space models; solving the state equations; state-space description of interconnected systems; models of example systems. Part 4 Discretizing an analogue compensator: numerical integration; stability of discretized systems; selection of sampling interval; problems; computer exercise. Part 5 Discrete-time models of analogue plants: ZOH equivalent models for analogue systems; simpling a system with time delay; the ZOH pole-mapping formula. (Part contents).

Aimed at senior-level engineering students, this book covers such topics as: linear algebra and matrix theory; state space and transfer function models; discretizing an analogue compensator; discrete-time models of analogue plants; designing regulators with state feedback; and tracking systems.