Results 41 to 50 of about 5,359,615 (162)
ABSTRACT The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close, for analyzing the performance and robustness of uncertain ...
Abdelhafid Zenati, Nabil Aouf
wiley +1 more source
Schur-convex functions and isoperimetric inequalities [PDF]
In this paper, we establish some analytic inequalities for Schur-convex functions that are made of solutions of a second order nonlinear differential equation. We apply these analytic inequalities to obtain some geometric inequalities.
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On Riemann–Liouville Integral via Strongly Modified (h,m)-Convex Functions
The generalization of strongly convex and strongly m-convex functions is presented in this paper. We began by proving the properties of a strongly modified (h,m)-convex function. The Schur inequality and the Hermite–Hadamard (H-H) inequalities are proved
Ali N. A. Koam +5 more
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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
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Schur-convexity of the complete symmetric function [PDF]
This paper investigates Schur-convexity of the complete symmetric function cr(x) = ∑ i1+...+in=r x i1 1 ...x in n and the function φr(x) = cr(x) cr−1(x) , where i1, ..., in are non-negative integers and r 1. Some inequalities, including Ky Fan type inequality, are established by use of the theory of majorization.
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Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems
ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
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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
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This paper considers design optimization for an active reconfigurable intelligent surface (active RIS)-aided cognitive multigroup multicast communication system.
Qingbao Zhou +5 more
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ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
Schur-Convexity for a Class of Symmetric Functions and Its Applications
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei-Feng Xia, Yu-Ming Chu
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