Bounds for deterministic and stochastic dynamical systems using sum-of-squares optimization [PDF]
, 2016 We describe methods for proving upper and lower bounds on infinite-time averages in deterministic dynamical systems and on stationary expectations in stochastic systems. The dynamics and the quantities to be bounded are assumed to be polynomial functions
Chernyshenko, Sergei I. +3 more
core +2 more sources
Broadband Channel Characterization in Wooded Environment in the 26 GHz Band
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2021 The present work describes the use of a simulation model based on asymptotic methods (ray tracing) on the propagation of ultra-wideband radio signals in a densely-arborized urban channel.
Jean Carneiro da Silva +5 more
doaj +1 more source
Automata with Nested Pebbles Capture First-Order Logic with Transitive Closure [PDF]
, 2007 String languages recognizable in (deterministic) log-space are characterized either by two-way (deterministic) multi-head automata, or following Immerman, by first-order logic with (deterministic) transitive closure.
Hendrik Jan Hoogeboom +2 more
core +5 more sources
Deterministic Approximate Methods for Maximum Consensus Robust Fitting [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Maximum consensus estimation plays a critically important role in robust fitting problems in computer vision. Currently, the most prevalent algorithms for consensus maximization draw from the class of randomized hypothesize-and-verify algorithms, which are cheap but can usually deliver only rough approximate solutions.
Huu Le +4 more
openaire +4 more sources
Combined Deterministic and Stochastic System Identification and Realization: DSR - A Subspace Approach Based on Observations [PDF]
Modeling, Identification and Control, 1996 A numerically stable and general algorithm for identification and realization of a complete dynamic linear state space model, including the system order, for combined deterministic and stochastic systems from time series is presented.
David Di Ruscio
doaj +1 more source
Perturbation theory and excursion set estimates of the probability distribution function of dark matter, and a method for reconstructing the initial distribution function [PDF]
, 2008 Nonlinear evolution can sometimes be modelled by a deterministic mapping from initial to final of the local smoothed overdensity. Perturbation theory methods base on this deterministic and local mapping and ignore the 'cloud-in-cloud' effect, while the ...
Lam, T. Y., Sheth, R. K.
core +1 more source
Proceedings, 2018 The design of energy-efficient electric motor is a complex problem since diverse requirements and competing goals have to be fulfilled simultaneously. Therefore, different approaches to the design optimization of electric motors have been developed, each
Johannes Schmelcher +4 more
doaj +1 more source
An overview of deterministic and probabilistic forecasting methods of wind energy
iScience, 2023 Summary: In recent years, a variety of wind forecasting models have been developed, prompting necessity to review the abundant methods to gain insights of the state-of-the-art development status.
Yuying Xie +4 more
doaj +1 more source
Adaptive testing of a deterministic implementation against a nondeterministic finite state machine [PDF]
, 1998 A number of authors have looked at the problem of deriving a checking experiment from a nondeterministic finite state machine that models the required behaviour of a system.
Hierons, RM
core +2 more sources
Proceedings, 2018 Designing energy-efficient electric motor is a task where multiple goals have to be achieved at once. To find the best design possible, different approaches have been developed.
Johannes Schmelcher +4 more
doaj +1 more source