Results 151 to 160 of about 14,850 (259)
Energy‐Associated Splitting Schemes for Closed Nonlinear Port‐Hamiltonian Systems
ABSTRACT We present splitting methods for port‐Hamiltonian (pH) systems, focusing on the preservation of their internal structure, in particular, the dissipation inequality. Classical high‐order splitting schemes possess negative step sizes, which might cause instabilities and the violation of the dissipation inequality.
Marius Mönch, Nicole Marheineke
wiley +1 more source
Toward a Mixed‐Precision ADI Method for Lyapunov Equations
ABSTRACT We apply mixed‐precision to the low‐rank Lyapunov ADI (LR‐ADI) by performing certain aspects of the algorithm in a lower working precision. Namely, we accumulate the overall solution, solve the linear systems comprising the ADI iteration, and store the inner low‐rank factors of the residuals in various combinations of IEEE 754 single and ...
Jonas Schulze, Jens Saak
wiley +1 more source
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf +2 more
wiley +1 more source
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam +2 more
wiley +1 more source
A resilient estimation and control framework is developed for smart‐grid cyber‐physical systems to simultaneously detect cyberattacks and estimate physical faults. The proposed method ensures accurate estimation and robust performance under disturbances and sparse sensor attacks.
Jin Li, Youmin Zhang
wiley +1 more source
ABSTRACT Noise is an inherent component of observed time series and may be treated either as an undesirable disturbance or as an intrinsic system characteristic containing information about underlying dynamics. In the latter perspective, noise behavior must be analyzed and quantified, and the model used for time‐series synthesis should be compatible ...
Shirin Studnicka, Deli Li, Umed Panu
wiley +1 more source
Barrier Lyapunov function-based robust adaptive neural network control with dynamically adjusted activation functions for Euler-Lagrange systems under position constraints. [PDF]
Yilmaz BM.
europepmc +1 more source
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
Yu J, Wang LS.
europepmc +1 more source
Delay-Induced Complexity and Chaotic Dynamics in a Network Model of Information Spreading. [PDF]
Martsenyuk V, Gancarczyk T.
europepmc +1 more source
Guidance Navigation and Control for Quadrotor UAV Using Lyapunov-Based Backstepping. [PDF]
Sasiadek JZ, Shuker A, Al-Isawi MMA.
europepmc +1 more source

