Results 51 to 60 of about 6,761,764 (353)

Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors

open access: yesPopulation Ecology, EarlyView.
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley   +1 more source

Predictive Control Applied to a Single-Stage, Single-Phase Bidirectional AC-DC Converter

open access: yesIEEE Access, 2022
This work aims to implement the control system of a single-phase, multi-port AC-DC converter with high-frequency isolation based on the dual active bridge (DAB) topology associated with the three-state switching cell (3SSC) applied to a distributed ...
Herivelton A. De Oliveira   +4 more
doaj   +1 more source

Output-feedback model predictive control of a pasteurization pilot plant based on an LPV model [PDF]

open access: yes, 2016
In order to optimize the trade-off between components life and energy consumption, the integration of a system health management and control modules is required.
Karimi Pour, Fatemeh   +2 more
core   +1 more source

Speciation Through the Lens of Population Dynamics: A Theoretical Primer on How Small and Large Populations Diverge

open access: yesPopulation Ecology, EarlyView.
Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi   +3 more
wiley   +1 more source

Learning-Based Model Predictive Control for Safe Exploration [PDF]

open access: yesIEEE Conference on Decision and Control, 2018
Learning-based methods have been successful in solving complex control tasks without significant prior knowledge about the system. However, these methods typically do not provide any safety guarantees, which prevents their use in safety-critical, real ...
Torsten Koller   +3 more
semanticscholar   +1 more source

Learning model predictive control with long short‐term memory networks

open access: yesInternational Journal of Robust and Nonlinear Control, 2021
This article analyzes the stability‐related properties of long short‐term memory (LSTM) networks and investigates their use as the model of the plant in the design of model predictive controllers (MPC). First, sufficient conditions guaranteeing the Input‐
Enrico Terzi   +3 more
semanticscholar   +1 more source

Plug-and-Play Decentralized Model Predictive Control [PDF]

open access: yes, 2012
In this paper we consider a linear system structured into physically coupled subsystems and propose a decentralized control scheme capable to guarantee asymptotic stability and satisfaction of constraints on system inputs and states. The design procedure
Farina, Marcello   +2 more
core   +2 more sources

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

open access: yesFEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan   +2 more
wiley   +1 more source

Comparison of Linear MPC and Explicit MPC for Battery Cell Balancing Control

open access: yesAlgorithms
This paper presents and compares two model predictive control (MPC) approaches for battery cell state-of-charge (SOC) balancing. In both approaches, a linearized discrete-time model that takes into account individual cell capacities is used.
Wanqun Yang, Jun Chen
doaj   +1 more source

Model predictive control for a multiple injection combustion model

open access: yesOpen Engineering, 2021
In this work, a model predictive controller is developed for a multiple injection combustion model. A 1D engine model with three distinct injections is used to generate data for identifying the state-space representation of the engine model.
Khac Hoang Nguyen   +4 more
doaj   +1 more source

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