• Corpus ID: 118245029

Sufficient Conditions for Feasibility and Optimality of Real-Time Optimization Schemes - I. Theoretical Foundations

@article{Bunin2013SufficientCF,
  title={Sufficient Conditions for Feasibility and Optimality of Real-Time Optimization Schemes - I. Theoretical Foundations},
  author={Gene A. Bunin and Gr'egory Franccois and Dominique Bonvin},
  journal={arXiv: Optimization and Control},
  year={2013}
}
The idea of iterative process optimization based on collected output measurements, or "real-time optimization" (RTO), has gained much prominence in recent decades, with many RTO algorithms being proposed, researched, and developed. While the essential goal of these schemes is to drive the process to its true optimal conditions without violating any safety-critical, or "hard", constraints, no generalized, unified approach for guaranteeing this behavior exists. In this two-part paper, we propose… 
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Sufficient Conditions for Feasibility and Optimality of Real-Time Optimization Schemes - II. Implementation Issues
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This two-part paper proposes an implementable set of conditions that can enforce these properties for any RTO algorithm and examines the practical side of the sufficient conditions for feasibility and optimality (SCFO) proposed and focuses on how they may be enforced in real application.
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