Chandrasekhar algorithms for linear time varying distributed systems

DOI10.1016/0020-0255(79)90037-9zbMath0451.93034OpenAlexW2061387521MaRDI QIDQ1148277

John S. Baras, Demetrios G. Lainiotis

Publication date: 1979

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(79)90037-9

zbMATH Keywords

quadratic controlChandrasekhar algorithms

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Control/observation systems governed by partial differential equations (93C20) Linear systems in control theory (93C05) Existence theories for optimal control problems involving partial differential equations (49J20)

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Cites Work

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• Discrete Riccati-equation solutions: generalized partitioned algorithms
• Stochastic optimization theory in Hilbert spaces. I
• A unifying framework for linear estimation: Generalized partitioned algorithms
• Estimation: A brief survey
• Stochastic differential equations in Hilbert space
• Optimal linear filtering theory and radiative transfer: Comparisons and interconnections
• A New Algorithm for Optimal Filtering of Discrete-Time Stationary Processes
• Optimal Filtering of Continuous-Time Stationary Processes by Means of the Backward Innovation Process
• A Survey of Infinite-Dimensional Filtering
• Generalized Chandrasekhar algorithms: Time-varying models
• Some new algorithms for recursive estimation in constant linear systems
• Partitioned Ricatti solutions and integration-free doubling algorithms
• Some New Analytic and Computational Results for Operator Riccati Equations

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