Mechatronic Systems Simulation Modeling And Control

Sustainable and Resilient Critical Infrastructure Systems: Simulation, Modeling, and Intelligent Engineering (Repost)

Kasthurirangan Gopalakrishnan, Srinivas Peeta, "Sustainable and Resilient Critical Infrastructure Systems: Simulation, Modeling, and Intelligent Engineering"
2010 | pages: 272 | ISBN: 3642114040 | PDF | 6,2 mb
Applied Methods and Techniques for Mechatronic Systems: Modelling, Identification and Control [Repost]

Lei Liu, Quanmin Zhu, Lei Cheng, Yongji Wang, Dongya Zhao - Applied Methods and Techniques for Mechatronic Systems: Modelling, Identification and Control
Published: 2013-12-31 | ISBN: 3642363849 | PDF | 300 pages | 18 MB
Applied Methods and Techniques for Mechatronic Systems: Modelling, Identification and Control

Applied Methods and Techniques for Mechatronic Systems: Modelling, Identification and Control By Lei Liu, Quanmin Zhu, Lei Cheng, Yongji Wang, Dongya Zhao
2014 | 443 Pages | ISBN: 3642363849 | PDF | 18 MB
Sustainable and Resilient Critical Infrastructure Systems: Simulation, Modeling, and Intelligent Engineering

Kasthurirangan Gopalakrishnan, Srinivas Peeta, "Sustainable and Resilient Critical Infrastructure Systems: Simulation, Modeling, and Intelligent Engineering"
Springer | 2010 | ISBN: 3642114040 | 300 pages | PDF | 6,2 MB

Multibody Mechatronic Systems  eBooks & eLearning

Posted by AvaxGenius at Sept. 30, 2017
Multibody Mechatronic Systems

Multibody Mechatronic Systems: Proceedings of the MUSME Conference held in Florianópolis, Brazil, October 24-28, 2017 By João Carlos Mendes Carvalho, Daniel Martins, Roberto Simoni, Henrique Simas
English | PDF | 2017 (2018 Edition) | 569 Pages | ISBN : 3319675664 | 67.87 MB

These are the Proceedings of the 6th International Symposium on Multibody Systems and Mechatronics (MUSME 2017) which was held in Florianópolis, Brazil, October 24-28, 2017.
Electric and Hybrid Vehicles: Technologies, Modeling and Control - A Mechatronic Approach

Electric and Hybrid Vehicles: Technologies, Modeling and Control - A Mechatronic Approach by Amir Khajepour and M. Saber Fallah
English | 2014 | ISBN: 1118341511 | 432 pages | PDF | 7 MB

Multibody Mechatronic Systems  eBooks & eLearning

Posted by Underaglassmoon at March 8, 2015
Multibody Mechatronic Systems

Multibody Mechatronic Systems: Proceedings of the MUSME Conference held in Huatulco, Mexico, October 21-24, 2014
Springer | Machinery, Dynamics, Mechanical Engineering | Aug. 20 2014 | ISBN-10: 3319098578 | 581 pages | pdf | 38.43 mb

This volume contains the Proceedings of MUSME 2014, held at Huatulco in Oaxaca, Mexico, October 2014.

Hybrid Electric Vehicle System Modeling and Control  eBooks & eLearning

Posted by roxul at Aug. 22, 2017
Hybrid Electric Vehicle System Modeling and Control

Wei Liu, "Hybrid Electric Vehicle System Modeling and Control"
English | ISBN: 1119279321 | 2017 | 584 pages | True PDF | 33 MB

Connected Vehicle Systems: Communication, Data, and Control  eBooks & eLearning

Posted by ksveta6 at Aug. 18, 2017
Connected Vehicle Systems: Communication, Data, and Control

Connected Vehicle Systems: Communication, Data, and Control by Yunpeng Wang, Daxin Tian, Zhengguo Sheng, Wang Jian
2017 | ISBN: 1138035874 | English | 298 pages | PDF | 7 MB

Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control

Type-2 Fuzzy Logic: Uncertain Systems’ Modeling and Control By Dr. Rómulo Antão
English | PDF | 2017 | 136 Pages | ISBN : 9811046328 | 4.6 MB

This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets.