An essential core text for advanced undergraduate and graduate courses in digital control, this volume develops theoretical foundations and explains how control systems work in real industrial situations. After development of theoretical foundations, it moves into the real world with detailed reviews of 5 commercially available distributed control systems. 1992 edition. Unabridged republication of the second edition published by Prentice Hall International (UK) Ltd., London, 1992.
Optimal Control Theory: An Introduction by Donald E. Kirk Upper-level undergraduate text introduces aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for trajectory optimization. Numerous figures, tables. Solution guide available upon request. 1970 edition.
Optimal Control and Estimation by Robert F. Stengel Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.
Control System Design: An Introduction to State-Space Methods by Bernard Friedland Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.
Adaptive Filtering Prediction and Control by Graham C Goodwin, Kwai Sang Sin This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizing theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition.
