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Content Provider | IEEE Xplore Digital Library |
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Author | Aganovic, Z. Gajic, Z. Shen, X. |
Copyright Year | 1994 |
Description | Author affiliation: Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA (Aganovic, Z.; Gajic, Z.) |
Abstract | In this paper the algebraic regulator and filter Riccati equations of weakly coupled discrete-time stochastic linear control systems are completely and exactly decomposed into reduced-order continuous-time algebraic Riccati equations corresponding to the subsystems. That is the exact solution of the global discrete algebraic Riccati equation is found in terms of the reduced-order subsystem nonsymmetric continuous-time algebraic Riccati equations. In addition, the optimal global Kalman filter is decomposed into local optimal filters both driven by the system measurements and the system optimal control inputs. As a result, the optimal linear-quadratic Gaussian control problem for weakly coupled linear discrete systems takes the complete decomposition and parallelism between subsystem filters and controllers.< |
Starting Page | 1 |
Ending Page | 6 |
File Size | 466242 |
Page Count | 6 |
File Format | |
ISBN | 0780319680 |
DOI | 10.1109/CDC.1994.411056 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1994-12-14 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Optimal control Nonlinear filters Filtering Stochastic systems Riccati equations Control systems Regulators Communication system control Eigenvalues and eigenfunctions Parallel processing |
Content Type | Text |
Resource Type | Article |
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