There are lots of great material on State Estimation: Theory and Applications subject in the internet, buts its always a challenge to figure out a ready list of top books on State Estimation: Theory and Applications that one can refer to immediately. Even though online materials are good, but nothing can beat the depth of coverage that a book can offer. Hence, we researched the list of State Estimation: Theory and Applications books which are used by students worldwide and came up with top 10 Book Recommendations on State Estimation: Theory and Applications subject. These books can be used as a great starting point for anyone studying State Estimation: Theory and Applications and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these State Estimation: Theory and Applications books are also in the best-seller lists in Amazon website. We have added a brief description of these best books and have also included direct links to Amazon site (as affiliate). This allows anyone to directly visit the site and order printed copies of these best books.
Here is the full list of best reference books on State Estimation: Theory and Applications.
|1. “Discrete-Time Stochastic Systems: Estimation and Control” by Torsten Soderstrom
Book Review: This book gives an introduction to stochastic dynamic systems and also covers concepts related to its estimation and control. The book provides computer derivations for key results and also covers both state space methods and polynomial approach methods along with the similarities and differences between them. The book also provides an introduction to nonlinear aspects and analyzes them. The book also explains complex valued data processes that are used in signal processing and communication problems.
|2. “Beyond the Kalman Filter: Particle Filters for Tracking Applications” by Ristic Branko, Sanjeev Arulampalam, and Neil Gordon
Book Review: This book explains all the advancements made in particle filter theory and discusses its releveance to surveillance systems and also carries out examination of defense related applications of particle filters to nonlinear and non-Gaussian problems. The book also provides accurate and reliable nonlinear filter designs and also carries out the performance prediction of these designs. The book also carries out detection and tracking through blind Doppler zone, radar tracking, passive ranging of targets, range only tracking and extended object tracking.
|3. “Stochastic Models, Estimation and Control Vol. I” by Peter S. Maybeck
Book Review: This book contains various topics on deterministic system moels, probability theory, static models, stochastic processes, linear dynamic system models, optimal filtering, linear system models, design and performance analysis of kalman filters, square root filtering and many more. The book also carries out detection and tracking through blind Doppler zone, radar tracking, passive ranging of targets, range only tracking and extended object tracking.
|4. “Stochastic Processes and Filtering Theory” by A. H. Jazwinski|
|5. “Foundations of Nanomechanics: From Solid-State Theory to Device Applications” by Andrew N Cleland|
|6. “Solitary Waves in Dispersive Complex Media: Theory, Simulation, Applications” by Belashov Vasily Y.|
|7. “State, Anarchy and Collective Decisions” by Coram Alex|
|8. “Soft Computing: State of the Art Theory and Novel Applications” by Ronald R Yager|
|9. “Handbook of Finite State Based Models and Applications” by Wang|
|10. “Coherent States and Applications in Mathematical Physics” by Didier Robert|
If any more book needs to be added to the list of best books on State Estimation: Theory and Applications Subject, please let us know.
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