Results 51 to 60 of about 6,682,316 (219)

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
wiley   +1 more source

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

Journal of Field Robotics, EarlyView.
ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley   +1 more source

An Empirical Study on the Evaluation of Graph‐Based Strategies for Intelligent Modeling Assistants

Software: Practice and Experience, EarlyView.
ABSTRACT Context In the context of model‐driven engineering, the proliferation of intelligent modeling assistants (IMAs) has pushed the boundaries of automation, providing modelers with relevant recommendations based on incomplete modeling artifacts as primary input.
Ilirian Ibrahimi, Claudio Di Sipio, Davide Di Ruscio, Manuel Wimmer   +3 more
wiley   +1 more source

Finding a positive semidefinite interval for a parametric matrix

Linear Algebra and its Applications, 1986
For given symmetric \(n\times n\) matrices, positive semidefinite C and E of rank one or two, real numbers ṯ\(\leq 0\), \(\bar t\geq 0\) are obtained such that the parametric matrix \(C(t)=C+tE\) is positive semidefinite if and only if \(t\in [\underline t,\bar t]\).
Caron, R.J., Gould, N.I.M.
openaire   +1 more source

Lyapunov‐Function‐Based Stability Region Estimation in Transient Stability Assessment of Inverter‐Based Resources: A Review

High Voltage, EarlyView.
ABSTRACT Electric power systems are undergoing a fundamental transition from synchronous generator (SG)‐dominated systems to inverter‐based resource (IBR)‐dominated systems. Lyapunov‐ and energy‐function‐based direct methods provide an effective way to estimate the stability region, also known as the region of attraction (ROA), and have become a ...
Yifan Zhang, Yitong Li, Hsiao‐Dong Chiang, Xiongfei Wang, Yang Wu, Jinjun Liu   +5 more
wiley   +1 more source

Moore-Penrose inverse of a hollow symmetric matrix and a predistance matrix

Special Matrices, 2016
By a hollow symmetric matrix we mean a symmetric matrix with zero diagonal elements. The notion contains those of predistance matrix and Euclidean distance matrix as its special cases.
Kurata Hiroshi, Bapat Ravindra B.
doaj   +1 more source

Graph‐Laplacian modeling of spatiotemporal effects for house price estimation

Real Estate Economics, EarlyView.
Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
wiley   +1 more source

Weakly Coupled B-Type Kadomtsev-Petviashvili Equation: Lump and Rational Solutions

Advances in Mathematical Physics, 2020
Through the method of ZN-KP hierarchy, we propose a new (3+1)-dimensional weakly coupled B-KP equation. Based on the bilinear form, we obtain the lump and rational solutions to the dimensionally reduced cases by constructing a symmetric positive ...
Na Xiong, Wen-Tao Li, Biao Li
doaj   +1 more source

Moments of MGOU processes and positive semidefinite matrix processes

Journal of Multivariate Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Minimisation of functions of a positive semidefinite matrix A subject to AX = 0

Journal of Multivariate Analysis, 1978
AbstractA common problem in multivariate analysis is that of minimising or maximising a function f of a positive semidefinite matrix A subject possibly to AX = 0. Typically A is a variance-covariance matrix. Using the theory of nearest point projections in Hilbert spaces, it is shown that the solution satisfies the equation f′(A) + M − A = 0, where A =
Calvert, Bruce, Seber, George A.F.
openaire   +2 more sources