ObRO is a min-max robust optimization formulation under objective functional uncertainty with an alternating algorithm proven to converge to a semi-global saddle point via operator theory, a numerically consistent piecewise linear approximation, and an application to battery charging scheduling.
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The authors formulate robust optimization problems to synthesize controllers that maximize resilience to disturbances or minimize control effort while satisfying temporal logic specifications, providing exact solutions for linear systems and scenario-based probabilistic guarantees for nonlinear ones
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Robust Optimization Under Objective Functional Uncertainty
ObRO is a min-max robust optimization formulation under objective functional uncertainty with an alternating algorithm proven to converge to a semi-global saddle point via operator theory, a numerically consistent piecewise linear approximation, and an application to battery charging scheduling.
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Resilient and Effort-Optimal Controller Synthesis under Temporal Logic Specifications
The authors formulate robust optimization problems to synthesize controllers that maximize resilience to disturbances or minimize control effort while satisfying temporal logic specifications, providing exact solutions for linear systems and scenario-based probabilistic guarantees for nonlinear ones