RIS phase-shift optimization aligns aggregate channels for physical-layer group key generation, with active RIS outperforming passive by >4x KGR in numerical results.
Title resolution pending
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
verdicts
UNVERDICTED 5representative citing papers
Presents generalized performance analysis conditions for cone-preserving switched systems and novel ℓ1 conditions for positive switched systems with constrained switching, plus a numerical example.
KernelSOS is shown to be competitive on robot localization and to improve solution quality in high-dimensional trajectory optimization when paired with local solvers.
Small adversarial perturbations to training data can destabilize data-driven LQR controllers, and the paper proposes DGSM attacks plus regularization and robust control defenses.
A stochastic OPF formulation for distribution grids that incorporates state estimation uncertainty via linear power flow approximations and a tractable transformation of stochastic voltage constraints.
citing papers explorer
-
Physical Layer Group Key Generation With the Aid of Reconfigurable Intelligent Surfaces
RIS phase-shift optimization aligns aggregate channels for physical-layer group key generation, with active RIS outperforming passive by >4x KGR in numerical results.
-
Performance analysis for cone-preserving switched systems with constrained switching
Presents generalized performance analysis conditions for cone-preserving switched systems and novel ℓ1 conditions for positive switched systems with constrained switching, plus a numerical example.
-
Sampling-Based Global Optimal Control and Estimation via Semidefinite Programming
KernelSOS is shown to be competitive on robot localization and to improve solution quality in high-dimensional trajectory optimization when paired with local solvers.
-
Adversarial Destabilization Attacks to Direct Data-Driven Control
Small adversarial perturbations to training data can destabilize data-driven LQR controllers, and the paper proposes DGSM attacks plus regularization and robust control defenses.
-
Stochastic Optimal Power Flow in Distribution Grids under Uncertainty from State Estimation
A stochastic OPF formulation for distribution grids that incorporates state estimation uncertainty via linear power flow approximations and a tractable transformation of stochastic voltage constraints.