Optimization of Measurement Subsystems in Stochastic Control Processes

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  • 不規則パラメータを持つ制御プロセスにおける観測の最適化

Abstract

Observation subsystems must be optimized together with plant control strategy in general stochastic optimal control processes. However, even if the problem is limited to the optimization problem of plant control strategy only, it is very difficult to solve. Therefore, a practical observation subsystem must be optimized for a control process in which the feedback loop is closed by a feasible plant control strategy.<br>In this paper, from the above point of view, we consider the optimization problem of an observation subsystem mainly for linear control processes in which the feedback loop is closed by two typical plant control strategies. One is a direct feedback strategy, and in this case it is shown that the optimal observation control strategy can be obtained independetly of previously observed information and also that the computation procedure is comparatively simple. The other is an indirect feedback strategy (i.e., the plant control strategy with filter). In this case it is difficult to obtain the exact solution, but we introduce a suboptimal strategy which can be considered useful in many cases. It is shown in the example that good observation does not always result in good performance, even if the observation cost is not considered, when plant control strategy is not optimal.

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