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Algorithms and Theory in Filtering and Control
herausgegeben von Danny C. Sorensen und Roger J.-B. WetsInhaltsverzeichnis
- The duality between estimation and control from a variational viewpoint: The discrete time case.
- The conjugate process in stochastic realization theory.
- A Hamiltonian approach to the factorization of the matrix Riccati equation.
- On fast computation of superdiagonal Padé fractions.
- Stochastic control in discrete time and applications to the theory of production.
- Square-root information filtering and smoothing for precision orbit determination.
- Some numerical aspects of multivariable systems identification.
- Using the Hessenberg decomposition in control theory.
- Algorithms for the design of control systems subject to singular value inequalities.
- Collinear scaling and sequential estimation in sparse optimization algorithms.