Networks Obtained by Implicit-Explicit Method: Discrete-Time Distributed Median Solver
نویسندگان
چکیده
In the purpose of making consensus algorithm robust to outliers, on median value has recently attracted some attention. It its applicability in for instance constructing a resilient distributed state estimator. Meanwhile, most existing works consider continuous-time algorithms and uses high-gain discontinuous vector fields. This issues problem need smaller time steps yielding chattering when discretizing by explicit method practical use. Thus, this paper, we highlight that these vanish utilize instead Implicit-Explicit Method, broader class networks designed blended dynamics approach. particular, undirected connected graphs, propose discrete-time solver does not suffer from chattering. We also verify simulation it iteration number required arrive at steady-state.
منابع مشابه
Extrapolated Implicit-Explicit Time Stepping
This paper constructs extrapolated implicit-explicit time stepping methods that allow one to efficiently solve problems with both stiff and nonstiff components. The proposed methods are based on Euler steps and can provide very high order discretizations of ODEs, index-1 DAEs, and PDEs in the method of lines framework. Implicit-explicit schemes based on extrapolation are simple to construct, ea...
متن کاملMeasuring the Effectiveness of Explicit and Implicit Instruction through Explicit and Implicit Measures
Many studies have examined the effect of different approaches to teaching grammar including explicit and implicit instruction. However, research in this area is limited in a number of respects. One such limitation pertains to the issue of construct validity of the measures, i.e. the knowledge developed through implicit instruction has been measured through instruments which favor th...
متن کاملExponential stability of implicit Euler, discrete-time Hopfield neural networks
The exponential stability of continuous-time Hopfield neural networks is not preserved when implemented on digital computers by means of explicit numerical methods, whereas the implicit (or backward) Euler method preserves this exponential stability under exactly the same sufficient conditions as those previously obtained for the continuous model. The proof is based on the nonlinear measure app...
متن کاملFINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS
This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...
متن کاملBrain Networks of Explicit and Implicit Learning
Are explicit versus implicit learning mechanisms reflected in the brain as distinct neural structures, as previous research indicates, or are they distinguished by brain networks that involve overlapping systems with differential connectivity? In this functional MRI study we examined the neural correlates of explicit and implicit learning of artificial grammar sequences. Using effective connect...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2022
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4116081