Applications of adaptive state estimation theory

Two main areas of application of adaptive state estimation theory are presented. Following a review of the basic estimation approach, its application to both the control of nonlinear plants and to the problem of tracking maneuvering targets is presented. Results are brought together from these two areas of investigation to provide insight into the wide range of possible applications of the general estimation method.

[1]  R. Howard System Analysis of Semi-Markov Processes , 1964, IEEE Transactions on Military Electronics.

[2]  D. Magill Optimal adaptive estimation of sampled stochastic processes , 1965 .

[3]  David Middleton,et al.  Simultaneous optimum detection and estimation of signals in noise , 1968, IEEE Trans. Inf. Theory.

[4]  Jayant G. Deshpande,et al.  Adaptive control of linear stochastic systems , 1973 .

[5]  J. C. Hassab Passive tracking of a moving source by a single observer in shallow water , 1976 .

[6]  H. Van Landingham,et al.  Digital Control of High Performance Aircraft Using Adaptive Estimation Techniques , 1977, IEEE Transactions on Aerospace and Electronic Systems.

[7]  H. F. Vanlandingham,et al.  Digital Set Point Control of Nonlinear Stochastic Systems , 1978, IEEE Transactions on Industrial Electronics and Control Instrumentation.

[8]  R. Moose,et al.  Modeling and Estimation for Tracking Maneuvering Targets , 1979, IEEE Transactions on Aerospace and Electronic Systems.