A new synthesis workflow converts finite-horizon minimum-time optimality into a cooling-demand VPC architecture and safety requirements into near-boundary tuning rules, matching nominal NMPC performance while showing zero temperature-limit violations under mismatch and faults where the NMPC benchmar
Multi-stage nonlinear model predictive control applied to a semi-batch polymerization reactor under uncertainty
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Optimizing trajectory-trees in belief space improves performance in partially observable robotic planning by capturing observation-dependent contingencies, shown via PO-MPC with D-AuLa optimization and PO-LGP extending LGP.
citing papers explorer
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A Theory-Guided Advanced Regulatory Control Synthesis for Cooling-Limited Exothermic Semi-Batch Reactors
A new synthesis workflow converts finite-horizon minimum-time optimality into a cooling-demand VPC architecture and safety requirements into near-boundary tuning rules, matching nominal NMPC performance while showing zero temperature-limit violations under mismatch and faults where the NMPC benchmar
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Optimizing Trajectory-Trees in Belief Space: An Application from Model Predictive Control to Task and Motion Planning
Optimizing trajectory-trees in belief space improves performance in partially observable robotic planning by capturing observation-dependent contingencies, shown via PO-MPC with D-AuLa optimization and PO-LGP extending LGP.