Suitable for advanced undergraduates and graduate students, this overview introduces theoretical and practical aspects of adaptive control. It presents an excellent perspective on techniques and an active knowledge of key approaches, offering a well-developed sense of when to use adaptive techniques and when other methods are more appropriate. 1995 edition. Reprint of the Addison-Wesley, Reading Massachusetts, 1995 second edition.
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.
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.
Introduction to Stochastic Control Theory by Karl J. Åström Exploration of stochastic control theory in terms of analysis, parametric optimization, and optimal stochastic control. Limited to linear systems with quadratic criteria; covers discrete time and continuous time systems. 1970 edition.
