Intelligent and Autonomous Aerospace Systems

Aerospace engineers provide their research and practicing colleagues an exposition on the latest innovative methods and approaches to aerospace systems that can react to the environment and learn from experience. In sections on flight control, propulsion and health management, and planning and multi-agent systems, they consider such topics as the neural network-based optimal control of an unmanned helicopter, the intelligent constrained optimal control of aerospace vehicles with model uncertainties, integrated systems health management for intelligent systems, genetic fuzzy controller for a gas-turbine fuel system, motion planning under uncertainty, and protocol utilization in intelligent systems to facilitate exploration missions. Annotation c2012 Book News, Inc., Portland, OR (booknews.com)