Abstract: Highlights•The global self-optimizing control problem is formulated and solved using the polynomial chaos-based approach.•The active-set change problem of self-optimizing control is handed by chance constraints.•A systematic solution strategy is presented to obtain the optimal global controlled variables.•Three case studies are investigated and solved with tractable numerical optimizations.
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