Results 91 to 100 of about 3,492,516 (198)
International Journal of Robust and Nonlinear ControlSummaryThis paper presents a synthesis method for robust, regret optimal control. The plant is modeled in discrete‐time by an uncertain linear time‐invariant (LTI) system. An optimal non‐causal controller is constructed using the nominal plant model and given full knowledge of the disturbance.
Jietian Liu, Peter Seiler 0001
openaire +4 more sources
Immunizing Conic Quadratic Optimization Problems Against Implementation Errors [PDF]
We show that the robust counterpart of a convex quadratic constraint with ellipsoidal implementation error is equivalent to a system of conic quadratic constraints.
Ben-Tal, A., Hertog, D. den
core
Optimization Based Robust Control [PDF]
, 2013 This entry describes the basic setup of linear robust control and the difficulties typically encountered when designing optimization algorithms to cope with robust stability and performance specifications.
openaire +2 more sources
Hidden Convexity in Partially Separable Optimization [PDF]
The paper identifies classes of nonconvex optimization problems whose convex relaxations have optimal solutions which at the same time are global optimal solutions of the original nonconvex problems. Such a hidden convexity property was so far limited to
Laurent, M., Ben-Tal, A., Hertog, D. den
core
Near-optimal Robust Bilevel Optimization.
CoRR, 2019 Bilevel optimization problems embed the optimality conditions of a sub-problem into the constraints of another optimization problem. We introduce the concept of near-optimality robustness for bilevel problems, protecting the upper-level solution feasibility from limited deviations at the lower level.
Besançon, Mathieu +2 more
openaire +3 more sources
Towards fair class-wise robustness: class optimal distribution adversarial training
Complex & Intelligent SystemsAdversarial training has proven to be a highly effective method for improving the robustness of deep neural networks against adversarial attacks. Nonetheless, it has been observed to exhibit a limitation in terms of robust fairness, characterized by a ...
Hongxin Zhi +4 more
doaj +1 more source
Robust Modeling Method and Robust Optimization of Energy Absorption Box
Shock and VibrationIn the design of thin-walled, energy-absorbing structures, uncertain factors can lead to deviations in the actual energy absorption performance from the design expectations.
Quanwei Che, Yanbin Sun, Tianshi Xu
doaj +1 more source
TGersing/robust-binary-optimization
<p>Improved the performance of the BnB by adding new features as described in the thesis "Algorithms for Robust Combinatorial Optimization with Budgeted Uncertainty and Fair Planning of the Out-of-Hours Service for Pharmacies". Also added
TGersing
core +1 more source
Effective Scenarios in Distributionally Robust Optimization
, 2018 Traditional stochastic optimization assumes that the probability distribution of uncertainty is known. However, in practice, the probability distribution oftentimes is not known or cannot be accurately approximated. One way to address such distributional
Bayraksan, Guzin
core +1 more source
Jixie chuandong, 2014 Aiming at the problems in the process of robust optimization design of involute gear,such as determining the dynamic load coefficient and multi-parameter nonlinear coupling,a method of dynamic load coefficient modified calculation is proposed.Through ...
周晓玲 +4 more
doaj