Advanced Pid Control Astrom

PID Control: New Identification and Design Methods (Repost)  

Posted by leonardo78 at Dec. 13, 2015
PID Control: New Identification and Design Methods (Repost)

PID Control: New Identification and Design Methods
Publisher: Springer | 2005 | ISBN: 1852337028 | 544 pages | PDF | 5,1 MB

The robustness and simplicity of proportional-integral-derivative (PID) controllers has ensured their continued and widespread use in industry. New techniques have been developed to allow PID controllers to match the performance of more advanced controller designs where the advanced training and computing power necessary make such designs impractical. To the industrial engineer having to implement such new techniques, the academic work in the field has previously appeared fragmented and rather incoherent.

Process Identification and PID Control (repost)  eBooks & eLearning

Posted by fdts at Aug. 5, 2016
Process Identification and PID Control (repost)

Process Identification and PID Control
by Su Whan Sung, Jietae Lee, In-Beum Lee
English | 2009 | ISBN: 0470824107 | 352 pages | PDF | 2.12 MB

Practical PID Control [Repost]  

Posted by tanas.olesya at Feb. 6, 2016
Practical PID Control [Repost]

Practical PID Control (Advances in Industrial Control) by Antonio Visioli
English | 11 Oct. 2006 | ISBN: 1846285852 | 320 Pages | PDF | 10 MB

This book focuses on those functionalities that can provide significant improvements in Proportional-integral-derivative (PID) performance in combination with parameter tuning.
Advanced Motion Control and Sensing for Intelligent Vehicles [Repost]

Li Li, Fei-Yue Wang - Advanced Motion Control and Sensing for Intelligent Vehicles
Published: 2007-07-02 | ISBN: 0387444076, 144194270X | PDF | 448 pages | 33.56 MB

PID Control for Multivariable Processes (Repost)  

Posted by step778 at Jan. 29, 2015
PID Control for Multivariable Processes (Repost)

Qing-Guo Wang, Zhen Ye, Wen-Jian Cai, Chang-Chieh Hang, "PID Control for Multivariable Processes"
2008 | pages: 261 | ISBN: 3540784810 | PDF | 6,8 mb
Advanced Process Control and Simulation for Chemical Engineers (repost)

Advanced Process Control and Simulation for Chemical Engineers by Hossein Ghanadzadeh Gilani, Katia Ghanadzadeh Samper and Reza Khodaparast Haghi
English | 2013 | ISBN: 1926895320 | 224 pages | PDF | 9 MB

Today, cyberspace is where new forms of criminality are being exploited; and cyberspace has become the economic and military battlefield where conflicts of all kinds are played out.
Advanced H Control: Towards Nonsmooth Theory and Applications

Yury V Orlov, Luis T. Aguilar, "Advanced H Control: Towards Nonsmooth Theory and Applications"
English | ISBN: 1493902911 | 2014 | 253 pages | PDF | 3 MB
Advanced Process Control and Simulation for Chemical Engineers

Advanced Process Control and Simulation for Chemical Engineers by Hossein Ghanadzadeh Gilani, Katia Ghanadzadeh Samper and Reza Khodaparast Haghi
English | 2013 | ISBN: 1926895320 | 224 pages | PDF | 9 MB

Today, cyberspace is where new forms of criminality are being exploited; and cyberspace has become the economic and military battlefield where conflicts of all kinds are played out.

Advanced Motion Control and Sensing for Intelligent Vehicles (Repost)  

Posted by Specialselection at Sept. 20, 2013
Advanced Motion Control and Sensing for Intelligent Vehicles (Repost)

Li Li, Fei-Yue Wang, "Advanced Motion Control and Sensing for Intelligent Vehicles"
English | 2007-01-01 | ISBN: 0387444076 | 458 pages | PDF | 33.6 mb

Valery D. Yurkevich, Advances in PID Control  

Posted by Direktor69 at March 11, 2013
 Valery D. Yurkevich, Advances in PID Control

Valery D. Yurkevich, Advances in PID Control
ISBN: 9789533072678 | edition 2011 | PDF | 286 pages | 12 mb

Since the foundation and up to the current state-of-the-art in control engineering, the problems of PID control steadily attract great attention of numerous researchers and remain inexhaustible source of new ideas for process of control system design and industrial applications. PID control effectiveness is usually caused by the nature of dynamical processes, conditioned that the majority of the industrial dynamical processes are well described by simple dynamic model of the first or second order. The efficacy of PID controllers vastly falls in case of complicated dynamics, nonlinearities, and varying parameters of the plant.