Three-stage CE iterative re-design scenario for eliminating uncertainty during the product's life-cycle

摘要

In this paper, we propose a closed-loop control system re-design scenario allowing for uncertainty inherent in design information. The proposed scenario serves the purpose of eliminating the design uncertainty during the product's life-cycle in order to make the system as well suited to actual operating conditions as possible. The scenario consists of three basic stages, namely, non-optimality detection, optimal system identification, and system modification, which may be launched and repeated iteratively. The main goal of the paper is to find how these stages can be performed at the reduced computational expenditure. First, we formulate the statistical orthogonality principle for non-optimality detection. Second, we construct the auxiliary performance index for optimal system identification. Third, we specify the modification stage. Finally, we show some simulation results to validate the scenario.