Convergence Guarantees for Time-Inhomogeneous Uniform-Rate Discrete Diffusion Models. [PDF]
Liang Y, Lai L, Shroff N, Liang Y.
europepmc +1 more source
Privacy‐Preserving Data‐Driven Distributed MPC for Heterogeneous Nonlinear Multi‐Agent Systems
ABSTRACT Distributed model predictive control (DMPC) is a cornerstone for coordinating multi‐agent systems, yet simultaneously ensuring data privacy, handling unknown nonlinear dynamics, and managing heterogeneous constraints remains an open challenge.
Mahmood Mazare, Hossein Ramezani
wiley +1 more source
Fundamental safety-capability trade-offs in fine-tuning large language models. [PDF]
Chen PY, Shen H, Das P, Chen T.
europepmc +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
Sampled-data exponential stabilization for delayed complex valued neural networks with quantized intermittent communication. [PDF]
Li J, Wang X.
europepmc +1 more source
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe +3 more
wiley +1 more source
Emission-reduction cooperation among technologically complementary manufacturers under a carbon cap-and-trade mechanism with price competition. [PDF]
He M, Zhou Y, Qiao Y, Ding Y, Gui X.
europepmc +1 more source
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
Generative Distribution Prediction: A Unified Approach to Multimodal Learning. [PDF]
Tian X, Shen X.
europepmc +1 more source
Regional Sustainability Assessment Under Risk and Uncertainty: A Water–Energy–Food Based Framework
ABSTRACT Regional sustainability assessment requires integrated structures that can examine the interactions between Water–Energy–Food (WEF) systems, socio‐economic risk conditions, and performance outcomes under uncertainty. This study proposes a multidimensional framework that combines a suitability index, composite sustainability indicators ...
Murat Oturakci
wiley +1 more source

