About the Book In the aerospace sciences, computational intelligence techniques are now key tools in addressing many problems. Such techniques have progressed along with increases in computing power, allowing numerical simulation to gradually replace experimental testing in many areas of engineering, and leading to an increasing use of nature-inspired numerical optimization methods to handle complex real world multidisciplinary design problems. Computational Intelligence in Aerospace Sciences introduces the fundamental concepts and methods used in single and multiobjective optimization, game theory, and uncertainty quantification before detailing techniques across four main areas: robotics multidisciplinary design aerodynamics space It provides practitioners with an overview of different computational intelligence techniques with aerospace applications, and aids newcomers to this field of research who are looking for fundamental information with advanced examples. ABOUT THE EDITORS Massimiliano Vasile is a Professor in the University of Strathclyde Department of Mechanical and Aerospace Engineering. He was previously a Research Fellow for the Advanced Concepts Team of ESA on new methods for Space Mission Analysis and Design and Trajectory Optimization. He was a Lecturer at Politecnico di Milano and a Senior Lecturer at the University of Glasgow. He is a Member of AIAA, IEEE, the IAF Space Power Committee and AIRO. He holds a Ph.D. in Aerospace Engineering from Politecnico di Milano. Victor M. Becerra is a Professor of Automatic Control in the School of Systems Engineering at the University of Reading. He was previously a Research Fellow in the Control Engineering Research Centre at City University, London. He is an Associate Editor of the International Journal of Modelling, Identification and Control and co-authored the book Strategies for Feedback Linearisation. He is a Senior Member of the AIAA and IEEE and a Fellow of the IET. He studied electrical engineering at Simon Bolivar University, Venezuela before receiving his Ph.D. in Control Engineering from City University, London.
Path Planning Algorithms in 2-D and 3-D Obstacle-Rich Environments
01.01.2014
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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