Results 21 to 30 of about 453 (143)
The lq/lp Hankel norms of discrete-time positive systems across switching
SICE Journal of Control, Measurement, and System Integration, 2022 In this study, we focus on the $ l_q/l_p $ Hankel norms of linear time-invariant (LTI) discrete-time positive systems across a single switching. The $ l_q/l_p $ Hankel norms are defined as the induced norms from vector-valued $ l_p $ past inputs to ...
Y. Ebihara
doaj +1 more source
Robust Interior Point Method for Quantum Key Distribution Rate Computation [PDF]
Quantum, 2022 Security proof methods for quantum key distribution, QKD, that are based on the numerical key rate calculation problem, are powerful in principle. However, the practicality of the methods are limited by computational resources and the efficiency and ...
Hao Hu +4 more
doaj +1 more source
IET Control Theory & Applications, 2021 This paper presents the computation of the non‐parametric uncertainty model for multi input multi output (MIMO) systems, which is described by normalized coprime factors (NCF) using the frequency response data of the system.
Seyed Masoud Tabibian +2 more
doaj +1 more source
Orthonormal polynomial projection quantization: an algebraic eigenenergy bounding method
Acta Polytechnica, 2022 The ability to generate tight eigenenergy bounds for low dimension bosonic or ferminonic, hermitian or non-hermitian, Schrödinger operator problems is an important objective in the computation of quantum systems.
Carlos R. Handy
doaj +1 more source
Bootstrap, Markov Chain Monte Carlo, and LP/SDP hierarchy for the lattice Ising model
Journal of High Energy Physics, 2023 Bootstrap is an idea that imposing consistency conditions on a physical system may lead to rigorous and nontrivial statements about its physical observables. In this work, we discuss the bootstrap problem for the invariant measure of the stochastic Ising
Minjae Cho, Xin Sun
doaj +1 more source
Quantum Alternating Direction Method of Multipliers for Semidefinite Programming [PDF]
QuantumSemidefinite programming (SDP) is a fundamental convex optimization problem with wide-ranging applications. However, solving large-scale instances remains computationally challenging due to the high cost of solving linear systems and performing ...
Hantao Nie, Dong An, Zaiwen Wen
doaj +1 more source
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
H. H. Chen, Ka-Leung Ho
openaire +3 more sources
IEEE Open Journal of Signal ProcessingIn this article, we consider using time-of-arrival (TOA) measurements from a single moving receiver to locate a moving target at constant velocity that emits a periodic signal with unknown signal period.
Yanbin Zou, Jingna Fan, Zekai Zhang
doaj +1 more source
Genetics Selection Evolution, 2007 An approach for optimising genetic contributions of candidates to control inbreeding in the offspring generation using semidefinite programming (SDP) was proposed.
Woolliams John A, Pong-Wong Ricardo
doaj +1 more source