Results 191 to 200 of about 808,768 (351)
On Eigenvalues Problem for Self-adjoint Operators with Singular Perturbations
Sylwia Kondej
openalex +2 more sources
Eigenvalue perturbation bounds for Hermitian block tridiagonal matrices
Y. Nakatsukasa
semanticscholar +1 more source
Safe Continual Learning in Model Predictive Control With Prescribed Bounds on the Tracking Error
ABSTRACT We develop a three‐component Model Predictive Control (MPC) algorithm to achieve output‐reference tracking with prescribed performance for continuous‐time nonlinear systems. One component is the so‐called funnel MPC, which achieves reference tracking with prescribed performance for the model output for suitable models.
Lukas Lanza+3 more
wiley +1 more source
Network analysis using Krylov subspace trajectories. [PDF]
Robert Frost H.
europepmc +1 more source
ABSTRACT This work addresses the problem of developing a nonfragile sliding mode observer for fractional‐order complex networked systems (FO‐CNS) under stochastic network attacks. The proposed approach employs a combination of event‐triggered techniques. First, a nonfragile fractional‐order state observer is developed, enabling the design of a suitable
Xin Meng+2 more
wiley +1 more source
Rigidity of Stratospheric Travelling Waves. [PDF]
Constantin A, Shao H, Zhu H.
europepmc +1 more source
ABSTRACT This work investigates three energy‐shaping control approaches to address the trajectory‐tracking problem for specific classes of underactuated mechanical systems. In particular, the notions of contractive systems and dynamic extensions are utilized to solve the trajectory‐tracking problem while addressing implementation issues such as the ...
N. Javanmardi+4 more
wiley +1 more source
Isolated steady solutions of the 3D Euler equations. [PDF]
Enciso A, Kepplinger W, Peralta-Salas D.
europepmc +1 more source
Workflow for tree species classification using lidar data. Steps include preprocessing (normalization, noise removal, CHM creation), tree segmentation, eigenfeature extraction, and 2D CNN training/validation. Blue, yellow, and red indicate training, validation, and testing image sets, respectively.
Ryan C. Blackburn+5 more
wiley +1 more source