Fundamentals in Modeling And Control of Mobile Manipulators

Fundamentals in Modeling and Control of Mobile Manipulators (repost)

Fundamentals in Modeling and Control of Mobile Manipulators (Automation and Control Engineering) by Zhijun Li and Shuzhi Sam Ge
English | ISBN: 1466580410 | 2013 | PDF | 295 pages | 8,3 MB
Fundamentals in Modeling and Control of Mobile Manipulators (repost)

Fundamentals in Modeling and Control of Mobile Manipulators (Automation and Control Engineering) by Zhijun Li and Shuzhi Sam Ge
English | ISBN: 1466580410 | 2013 | PDF | 295 pages | 8,3 MB
Fundamentals in Modeling and Control of Mobile Manipulators

Zhijun Li, Shuzhi Sam Ge, "Fundamentals in Modeling and Control of Mobile Manipulators"
ISBN: 1466580410 | 2013 | PDF | 295 pages | 8 MB
Efficient Modeling and Control of Large-Scale Systems (Repost)

Efficient Modeling and Control of Large-Scale Systems
Publisher: Springer | ISBN: 1441957561 | edition 2010 | PDF | 180 pages | 3,4 mb

Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system’s order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering. Modeling of these systems often result in very high-order models imposing great challenges to the analysis, design and control problems.

Cells and Robots: Modeling and Control of Large-Size Agent Populations  eBooks & eLearning

Posted by johinson at May 8, 2010
Cells and Robots: Modeling and Control of Large-Size Agent Populations

Dejan Lj. Milutinovic, Pedro U. Lima, «Cells and Robots: Modeling and Control of Large-Size Agent Populations»
Springer | ISBN: 3540719814 | 2007 | PDF | 124 pages | 6.04 MB

Cells and Robots is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study concerning a large-size robotic population scenario. Under this scenario, we also formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem. Simultaneous consideration of cell and robotic populations is of mutual benefit for Biology and Robotics, as well as for the general understanding of multi-agent system dynamics.

Efficient Modeling and Control of Large-Scale Systems [Repost]  eBooks & eLearning

Posted by tanas.olesya at July 21, 2016
Efficient Modeling and Control of Large-Scale Systems [Repost]

Efficient Modeling and Control of Large-Scale Systems by Javad Mohammadpour
English | 9 July 2010 | ISBN: 1441957561 | 356 Pages | PDF | 3 MB

Complexity and dynamic order of controlled engineering systems is constantly increasing. Complex large scale systems (where "large" reflects the system's order and not necessarily its physical size) appear in many engineering fields, such as micro-electromechanics, manufacturing, aerospace, civil engineering and power engineering.
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Repost)

Dejan Lj. Milutinovic, Pedro U. Lima, "Cells and Robots: Modeling and Control of Large-Size Agent Populations"
2007 | pages: 133 | ISBN: 3540719814 | PDF | 6 mb

Modeling and Control of Engines and Drivelines  

Posted by interes at Jan. 24, 2016
Modeling and Control of Engines and Drivelines

Modeling and Control of Engines and Drivelines (Automotive Series) by Lars Eriksson and Lars Nielsen
English | 2014 | ISBN: 1118479998 | 588 pages | PDF | 48,2 MB

Submodularity in Dynamics and Control of Networked Systems  

Posted by Underaglassmoon at Dec. 25, 2015
Submodularity in Dynamics and Control of Networked Systems

Submodularity in Dynamics and Control of Networked Systems
Springer | Control Engineering | January 20, 2016 | ISBN-10: 3319269755 | 210 pages | pdf | 4.5 mb

by Andrew Clark (Author), Basel Alomair (Author), Linda Bushnell (Author), Radha Poovendran (Author), John Baillieul (Foreword)
Addresses key design criteria for networked systems within a unifying analytical framework
Introduces submodular functions and optimization, developing them to be scalable for large-scale systems and applying them to control theory
Illustrates the approach with application-based case studies
Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks

Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks by Ilya Shmulevich, Edward R. Dougherty
2009 | ISBN: 0898716926 | English | 281 pages | PDF | 2 MB