Linear Optimal Control: H2 and H�� Methods is a reader-friendly book that features recent research results on robustness, H�� control, and ��m- synthesis. Linear Optimal Control combines these new results with previous work on optimal control to form a complete picture of control system design and analysis. A comprehensive book, Linear Optimal Control covers the analysis of control systems, H2 (linear quadratic Gaussian), and H�� to a degree not found in many texts. Its logical organization and its focus on establishing a solid grounding in the basics be fore tackling mathematical subtleties make Linear Optimal Control an ideal teaching text.

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Jeffrey B. Burl is a Professor of Electrical Engineering at Michigan Technological University, where he is conducting research in several areas including image-based control systems for aerospace vehicles, automotive control, and robust multivariable control theory and applications. He has worked on the control of the international space station, missile autopilot design, and numerous other control projects. He is currently working on collision avoidance for general aviation. Dr. Burl has published papers in the IEEE Transactions on Signal Processing, the AIAA Journal of Guidance, Control, and Dynamics, and other journals. He is currently an Associate Editor for the International Journal of Modeling and Simulation, and a Senior Member of the IEEE and the AIAA.

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