High Performance Control
by T.T. Tay, I.M.Y. Mareels, J.B. Moore
Publisher: Birkhauser 1997
Number of pages: 362
Using the tools of optimal control, robust control and adaptive control, the authors develop the theory and practice of high performance control in a real world environment. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems.
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by Derek Atherton - BookBoon
The book is concerned with the effects of nonlinearity in feedback control systems and techniques which can be used to design feedback loops containing nonlinear elements. The material is of an introductory nature but hopefully gives an overview.
by Esteban Tlelo-Cuautle - InTech
This book presents a collection of major developments in chaos systems covering aspects on chaotic behavioral modeling and simulation, control and synchronization of chaos systems, and applications like secure communications.
by Tao Zheng - InTech
Model Predictive Control refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request to complicated process plants, MPC has been accepted in many practical fields.
by Hugh Jack
Dynamic System Modeling and Control introduces the basic concepts of system modeling with differential equations. Supplemental materials at the end of this book include a writing guide, summary of math topics, and a table of useful engineering units.