Results 41 to 50 of about 50,277 (117)
Privacy‐Preserving Data‐Driven Distributed MPC for Heterogeneous Nonlinear Multi‐Agent Systems
International Journal of Robust and Nonlinear Control, EarlyView.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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Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems
International Journal of Robust and Nonlinear Control, EarlyView.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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Schur Convexity of Generalized Heronian Means Involving Two Parameters
Journal of Inequalities and Applications, 2009 The Schur convexity and Schur-geometric convexity of generalized Heronian means involving two parameters are studied, the main result is then used to obtain several interesting and significantly inequalities for generalized Heronian means.
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Refinements of Inequalities among Difference of Means
International Journal of Mathematics and Mathematical Sciences, 2012 In this paper, for the difference of famous means discussed by Taneja in 2005, we study the Schur-geometric convexity in (0, ∞) × (0, ∞) of the difference between them. Moreover some inequalities related to the difference of those means are obtained.
Huan-Nan Shi, Da-Mao Li, Jian Zhang
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Schur convex functions on the spectra of graphs
Discrete Mathematics, 1983 AbstractMajorization on the spectra of graphs is shown to be preserved under several operations, including addition, multiplication and complementation of graphs. The graph obtained by the removal of k disjoint edges from the complete graph on n vertices is shown to minimize all Schur-convex functions defined on the (Kirchoff) spectra of graphs, over ...
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Schur convexity of Bonferroni harmonic mean [PDF]
The Journal of Analysis, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sreenivasa Reddy Perla, S. Padmanabhan
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The role of identification in data‐driven policy iteration: A system theoretic study
International Journal of Robust and Nonlinear Control, EarlyView.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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Optimization of Schur-convex functions [PDF]
Mathematical Inequalities & Applications, 1998 The author shows that Schur-convex functions share some important properties with convex functions: in particular, basic properties of convex functions about extreme values that have been used widely in theoretical and applied mathematics. Examples of Schur-convex functions are constructed and some inequalities for them are established, including as ...
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A Randomized Algorithm for Simultaneously Diagonalizing Symmetric Matrices by Congruence
Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.ABSTRACT A family of symmetric matrices A1,…,Ad$$ {A}_1,\dots, {A}_d $$ is simultaneously diagonalizable by congruence (SDC), also called nonorthogonal joint diagonalization, if there is an invertible matrix X$$ X $$ such that every XTAkX$$ {X}^T{A}_kX $$ is diagonal. In this work, a novel randomized SDC (RSDC) algorithm is proposed that reduces SDC to
Haoze He, Daniel Kressner
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Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.ABSTRACT Vector extrapolation techniques can be highly effective when used to accelerate the convergence of fixed‐point iterative methods, such as the Picard method. In this study, we investigate the numerical solution of nonlinear problems. Specifically, we address the nonlinear eigenvalue Bratu problem and the Monge–Ampère equation using a multigrid ...
Abdellatif Mouhssine +2 more
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