Results 51 to 60 of about 137,583 (290)
Shaping energy cost management in process industries through clustering and soft sensors
With the ever-increasing growth of energy demand and costs, process monitoring of operational costs is of great importance for process industries.
Yu Lu +8 more
doaj +1 more source
Fast recursive filters for simulating nonlinear dynamic systems [PDF]
A fast and accurate computational scheme for simulating nonlinear dynamic systems is presented. The scheme assumes that the system can be represented by a combination of components of only two different types: first-order low-pass filters and static ...
van Hateren, J. H.
core +4 more sources
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan +4 more
wiley +1 more source
Self‐tuning predictive control applicable to ship magnetic levitation damping device
In the ship design, there are strict vibration‐proof requirements for precision instruments. Therefore, a ship repulsive magnetic levitation damping device is designed to achieve vibration reduction.
Hui Zhang +4 more
doaj +1 more source
Time-varying signal processing using multi-wavelet basis functions and a modified block least mean square algorithm [PDF]
This paper introduces a novel parametric modeling and identification method for linear time-varying systems using a modified block least mean square (LMS) approach where the time-varying parameters are approximated using multi-wavelet basis functions ...
Billings, S.A., Li, Y., Wei, H.L.
core
A fast algorithm for LR-2 factorization of Toeplitz matrices [PDF]
In this paper a new order recursive algorithm for the efficient −1 factorization of Toeplitz matrices is described. The proposed algorithm can be seen as a fast modified Gram-Schmidt method which recursively computes the orthonormal columns i, i = 1,2,
Glentis, George-Othon
core +3 more sources
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Full-duplex unmanned aerial vehicle (UAV) communication systems are characterized by mobility, so the self-interference (SI) channel characteristics change over time constantly.
Lu Tian, Chenrui Shi, Zhan Xu
doaj +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Error Dynamics Based Dual Heuristic Dynamic Programming for Self-Learning Flight Control
A data-driven nonlinear control approach, called error dynamics-based dual heuristic dynamic programming (ED-DHP), is proposed for air vehicle attitude control. To solve the optimal tracking control problem, the augmented system is defined by the derived
Xu Huang +5 more
doaj +1 more source

