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MORE ON A PARTIALLY OBSERVED STOCHASTIC OPTIMAL FEEDBACK CONTROL PROBLEM
Teo el at. (1989) proposed and numerically solved a feedback control problem for a partially observed linear system with Poisson process noise. In this paper, we suggest a modified control structure and show that the modification leads to a superior control scheme. The discussion is illustrated with...
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Published in: | Engineering optimization 1990-07, Vol.16 (1), p.1-13 |
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container_title | Engineering optimization |
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creator | BROWN, TIMOTHY C. PALLANT, DIANA L. |
description | Teo el at. (1989) proposed and numerically solved a feedback control problem for a partially observed linear system with Poisson process noise. In this paper, we suggest a modified control structure and show that the modification leads to a superior control scheme. The discussion is illustrated with examples which show the benefits of the modifications and extensions. The paper also demonstrates the benefits of martingale stochastic calculus. |
doi_str_mv | 10.1080/03052159008941161 |
format | article |
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(1989) proposed and numerically solved a feedback control problem for a partially observed linear system with Poisson process noise. In this paper, we suggest a modified control structure and show that the modification leads to a superior control scheme. The discussion is illustrated with examples which show the benefits of the modifications and extensions. The paper also demonstrates the benefits of martingale stochastic calculus.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control</subject><subject>Control theory. 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(1989) proposed and numerically solved a feedback control problem for a partially observed linear system with Poisson process noise. In this paper, we suggest a modified control structure and show that the modification leads to a superior control scheme. The discussion is illustrated with examples which show the benefits of the modifications and extensions. The paper also demonstrates the benefits of martingale stochastic calculus.</abstract><cop>Amsterdam</cop><pub>Taylor & Francis Group</pub><doi>10.1080/03052159008941161</doi><tpages>13</tpages></addata></record> |
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subjects | Applied sciences Computer science control theory systems Control Control theory. Systems Exact sciences and technology feedback martingales Optimal control point processes stochastic calculus |
title | MORE ON A PARTIALLY OBSERVED STOCHASTIC OPTIMAL FEEDBACK CONTROL PROBLEM |
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