Optimal and Robust Estimation

Discover the advancements in estimation theory with Optimal and Robust Estimation by Frank L. Lewis. Published by Taylor & Francis Inc in 2007, this comprehensive second edition spans 552 pages and delves into essential topics such as the robust Kalman filter, H-infinity filtering, and discrete-time systems. This insightful book is a must-have for professionals and students in the fields of aeronautics, astronautics, and electrical engineering.

With practical examples that illustrate real-world applications of the theory, Optimal and Robust Estimation serves as an invaluable resource for mastering mathematical optimization and stochastic control theory. Enhance your understanding of probability and statistics within engineering contexts and elevate your expertise in technology and industrial arts. Whether you're a seasoned engineer or an aspiring student, this book will guide you through the complexities of robust estimation methods.