Results 41 to 50 of about 278,786 (120)
In this paper, control-oriented modeling approaches are presented for distributed parameter systems. These systems, which are in the focus of this contribution, are assumed to be described by suitable partial differential equations.
Rauh Andreas +4 more
doaj +1 more source
A Structure-Preserving Terminal ILC Framework for PDE-Constrained Repetitive Processes
Repetitive control problems governed by partial differential equations (PDEs) arise in thermal regulation, distributed actuation, process engineering, and subsurface flow management. In such settings, iterative learning control (ILC) can improve terminal
Haochen Liu +3 more
doaj +1 more source
This paper presents a new model-based fault resilient control scheme for a class of nonlinear distributed parameter systems (DPS) represented by parabolic partial differential equations (PDE) in the presence of actuator faults. A Luenberger-like observer
Hasan Ferdowsi +2 more
doaj +1 more source
This paper presents an optimal fault-tolerant control (FTC) method for dynamic systems with distributed fault parameter uncertainty. According to the distributed characteristic of the fault parameter uncertainty domain and insufficient fault information,
Dan Du, Zetao Li
doaj +1 more source
Adaptive control strategies for a class of nonlinear propagation bioprocesses [PDF]
This paper presents the control problem of a class of propagation bioprocesses that are carried out in fixed bed reactors. Since the dynamics of these processes are described by partial differential equations, in order to obtain useful models for control
Dan Popescu, Dan Selisteanu, Emil Petre
doaj
Calculation of a Hydrodynamic Component of Behaviour of Heat-Transfer Agent in the Main Pipelines
The design procedure of installation is developed for an estimation of behaviour of heat-transfer agent in the main pipelines, as distributed parameter systems.
N.A. Avtushenko, G.S. Lenevsky
doaj
Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training
Deep learning plays a pivotal role in numerous big data applications by enhancing the accuracy of models. However, the abundance of available data presents a challenge when training neural networks on a single node.
Nikodimos Provatas +3 more
doaj +1 more source
This article presents mathematical models of power grid segments. Three load configurations representing real power systems were analysed. The mathematical models were developed using a field-circuit approach.
Andriy Chaban +4 more
doaj +1 more source
Blind Deconvolution for Distributed Parameter Systems with Unbounded Input and Output and Determining Blood Alcohol Concentration from Transdermal Biosensor Data. [PDF]
Rosen IG, Luczak SE, Weiss J.
europepmc +1 more source
This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal ...
Yanlin Li +5 more
doaj +1 more source

