Search and Classification Using Multiple Autonomous Vehicles
Decision-Making and Sensor Management
Lecture Notes in Control and Information Sciences
Academic researchers and graduate students from aerospace, robotics, mechanical or electrical engineering backgrounds interested in multi-agent coordination and control, in detection and estimation or in Bayes filtration will find this text of interest.
Islam I. Hussein's research areas include nonlinear and evolutionary dynamics, control and optimization, detection and estimation, risk-based decision-making, sensor/communication networks, and agent-based systems. He is an assistant professor in the Mechanical Engineering Department at Worcester Polytechnic Institute. From 2005 to 2006, he held a postdoctoral research associate position at the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He was awarded the Ph.D. degree in Aerospace Engineering in 2005 and the M.Sc. degrees in Aerospace Engineering and Applied Mathematics in 2002 from the University of Michigan.
From the reviews:
“In the present book, real-time, decision-making strategies are investigated for domain search and object classification using multiple autonomous vehicle systems under limited sensory resources. … The book may serve as a tool for students, scientists and engineers from academia and industry experienced in these attractive areas. It can be also a source for courses, which can be part of the academic program of Electrical, Control and Computer Science Departments.” (Clementina Mladenova, Zentralblatt MATH, Vol. 1244, 2012)
“Two notable features of the book are that it is rather terse and that it provides a diversity of cases whose differences are left for the reader to monitor. … As an overview of the subject, the book is certainly valuable.” (A. F. Gualtierotti, Mathematical Reviews, January, 2013)