Advances in State and Parameter Estimation : Theory and Practice (Hardcover)

1. Introduction? 2.?Least Squares and Maximum Likelihood Methods? 3. Kalman Filtering Methods? 4. Filtering-cum Data Fusion with State Delay and Missing Measurements? 5.?Gaussian Sum extended Kalman filter with Lyapunov Stability Analysis? 6.?Gaussian sum information filter with Lyapunov stability analysis? 7.?Image-centroid tracking with square root Kalman filters? 8.?Image centroid tracking with fuzzy logic-augmented filters? 9.?Image centroid tracking-cum-fusion using new factorization filtering algorithms? 10.?H-Infinity fuzzification filtering and target tracking (TT)? 11.?H-Infinity based observer? 12.?Deterministic Nonlinear estimators-observers and stability results? 13.?Hybrid Global H-Infinity Filter? 14.?Neural networks for parameter estimation with Lyapunov stability analyses? ?15.?Interactive Multiple Modelling for Target Tracking with New Algorithms? 16.?Machine Learning for Estimation? Appendix A? Appendix B? Appendix C