Automation and Control Engineering

New and Published Books

1-10 of 46 results in Automation and Control Engineering

1. Optimal and Robust Scheduling for Networked Control Systems

   By Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber

   Series: Automation and Control Engineering

   Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available...

   Published March 25th 2013 by CRC Press
2. Advances in Missile Guidance, Control, and Estimation

   Edited by S.N. Balakrishnan, Antonios Tsourdos, B.A. White

   Series: Automation and Control Engineering

   Stringent demands on modern guided weapon systems require new approaches to guidance, control, and estimation. There are requirements for pinpoint accuracy, low cost per round, easy upgrade paths, enhanced performance in counter-measure environments, and the ability to track low-observable targets....

   Published September 4th 2012 by CRC Press
3. End to End Adaptive Congestion Control in TCP/IP Networks

   By Christos N. Houmkozlis, George A. Rovithakis

   Series: Automation and Control Engineering

   This book provides an adaptive control theory perspective on designing congestion controls for packet-switching networks. Relevant to a wide range of disciplines and industries, including the music industry, computers, image trading, and virtual groups, the text extensively discusses source...

   Published April 23rd 2012 by CRC Press
4. Quantitative Process Control Theory

   By Weidong Zhang

   Series: Automation and Control Engineering

   Quantitative Process Control Theory explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering...

   Published December 1st 2011 by CRC Press
5. Classical Feedback Control

   With MATLAB® and Simulink®, Second Edition

   By Boris Lurie, Paul Enright

   Series: Automation and Control Engineering

   This second edition textbook describes the design and implementation of high-performance feedback controllers for engineering systems. It emphasizes the frequency-domain design and methods based on Bode integrals, loop shaping, and nonlinear dynamic compensation. The authors include many problems...

   Published October 4th 2011 by CRC Press
6. Intelligent Diagnosis and Prognosis of Industrial Networked Systems

   By Chee Khiang Pang, Frank L. Lewis, Tong Heng Lee, Zhao Yang Dong

   Series: Automation and Control Engineering

   In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines,...

   Published June 21st 2011 by CRC Press
7. Computational Intelligence in Control Engineering

   By Robert E. King

   Series: Automation and Control Engineering

   Presenting the theoretical and practical developments of an autonomous decision-making methodology, this work describes the strides made by intelligent systems and soft computing for the control of industrial systems. It uses practical examples of qualitative control techniques tested in industry...

   Published December 19th 2010 by CRC Press
8. Synchronization and Control of Multiagent Systems

   By Dong Sun

   Series: Automation and Control Engineering

   Multiple intelligent agent systems are commonly used in research requiring complex behavior. Synchronization control provides an advantage in solving the problem of multi-agent coordination. This book focuses on the use of synchronization control to coordinate the group behavior of multiple agents....

   Published November 7th 2010 by CRC Press
9. Subspace Learning of Neural Networks

   By Jian Cheng, Zhang Yi, Jiliu Zhou

   Series: Automation and Control Engineering

   Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality...

   Published September 28th 2010 by CRC Press
10. Reliable Control and Filtering of Linear Systems with Adaptive Mechanisms

    By Guang-Hong Yang, Dan Ye

    Series: Automation and Control Engineering

    More and more, the advanced technological systems of today rely on sophisticated control systems designed to assure greater levels of safe operation while optimizing performance. Rather than assuming always perfect conditions, these systems require adaptive approaches capable of coping with...

    Published July 14th 2010 by CRC Press