Results 111 to 120 of about 1,719,604 (234)
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
Operator-Valued Twisted Araki-Woods Algebras. [PDF]
Kumar RR, Wirth M.
europepmc +1 more source
This two-part treatise rigorously extends the frameworks of Operational Mathematics and Meta-Operational Mathematics to the domain of tensor algebra and multilinear maps. In Part I, we systematically generalize the notion of iteration count—the number of times an operation is applied—from natural numbers to integers, rationals, reals, and complex ...
openaire +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
An innovative quantum-fuzzy paradigm for time- and context-sensitive membership: Quantive logic. [PDF]
Yerlikaya MA +4 more
europepmc +1 more source
Prospective Middle School Mathematics Teachers’ Awareness of Students’ Errors regarding the Use of Letters in Algebra and Algebraic Operations [PDF]
Rabiya Amaç +1 more
openaire +1 more source
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source
Hypercomplex neural networks: Exploring quaternion, octonion, and beyond in deep learning. [PDF]
Devadas RM +5 more
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
The Fermionic Massless Modular Hamiltonian. [PDF]
La Piana F, Morsella G.
europepmc +1 more source

