Soft Computing for Intelligent Control and Mobile Robotics (Studies in Computational Intelligence)

Soft Computing for Intelligent Control and Mobile Robotics (Studies in Computational Intelligence)

Language: English

Pages: 484

ISBN: 3642155332

Format: PDF / Kindle (mobi) / ePub


This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The prudent combination of SC techniques can produce powerful hybrid intelligent systems that are capable of solving real-world problems. This is illustrated in this book with a wide range of applications, with particular emphasis in intelligent control and mobile robotics. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theory and algorithms, which are basically papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of intelligent control, which are basically papers using bio-inspired techniques, like evolutionary algorithms and neural networks, for achieving intelligent control of non-linear plants. The third part contains papers with the theme of optimization of fuzzy controllers, which basically consider the application of bio-inspired optimization methods to automate the de-sign process of optimal type-1 and type-2 fuzzy controllers. The fourth part contains papers that deal with the application of SC techniques in times series prediction and intelligent agents. The fifth part contains papers with the theme of computer vision and robotics, which are papers considering soft computing methods for applications related to vision and robotics.

High-Speed Circuit Board Signal Integrity

China in and beyond the Headlines

Peculiar Institution: America's Death Penalty in an Age of Abolition

Legionary: The Roman Soldier's (Unofficial) Manual

The Book: A Global History

Keeping Bees in Towns and Cities

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

M.: E-Learning in Context. Laidlaw College, Auckland, New Zealand. E-Primer Series (2008) 2. Seibel, C.: An Examination of Teaching and Learning Online. University of Saskatchenwan, Canada. Occasional papers in Educational Technology (2008) 3. Ally, M.: Foundations od educational theory for online learning. In: The theory and practice of online learning, vol. 1(1), pp. 15–44. AU Press, Canada (2008) 4. Felder, R.: Matters of style. Department of Chemical Engineering North Carolina State

our final conflicts number was 162, this improves the quality of solution against the human expert who takes 1 week in order to achieve a schedule design solution without a proper conflict check . this 162 conflicts means 162 non-regular students in the whole career who could have a conflict in theirs schedule, in a deeper study this career have 9 semester so it is possible to find the exact number of conflicts per semester, this number is 162/9 = 18 and each semester have near 6 subjects so the

Network. In: Proceedings of the IEEE International Symposium on Industrial Electronics, ISIE, Vigo, Spain, June 2007, pp. 251–256. IEEE Inc., New York (2007) 11. Sage, A.P.: Optimum Systems Control. In: Library of Congress Catalog Number, pp. 68–20862. Prentice-Hall Inc., Englewood Cliffs (1968) 12. Baruch, I.S., Mariaca-Gaspar, C.R.: A Levenberg-Marquardt Learning Applied for Recurrent Neural Identification and Control of a Wastewater Treatment Bioprocess. International Journal of Intelligent

Individuals are characterized by state variables: identity number, age, sex, identity of the area where the individual and social life. The players have recently entered the process of additional state variable weight, which affects their behavior. The Complaint players who have not known his first game as minors, 1-game played, as initiates, and all others as completed. Apart from this, social rank is the main attribute which tells the difference between the complete key (experts) and

32 64 128 TIME IN MINUTES Core1 1.01 1.30 1.58 3.30 Core2 1.01 1.31 1.59 3.31 Core3 1.02 1.23 2.00 3.32 Core4 1.05 1.26 2.01 3.30 In table 9, we can appreciate the simulation results in parallel mode for the Griewank’s function. In Table 10, we show the time of execution of the method for this test function. Table 9. Experimental results with FPSO+FGA for the Griewank’s function V 16 32 64 128 BEST VALUE AVERAGE 0.0345 (Core1) 0.1045 (Core1) 0.9981 (Core1) 1.5567 (Core1) WORST VALUE

Download sample

Download