Results 41 to 50 of about 1,432,944 (317)

Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems [PDF]

, 2019
Many modern nonlinear control methods aim to endow systems with guaranteed properties, such as stability or safety, and have been successfully applied to the domain of robotics.
Ames, Aaron D., Dorobantu, Victor D., Le, Hoang M., Taylor, Andrew J., Yue, Yisong   +4 more
core   +2 more sources

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source

A Linear Fractional Transformation Based Approach to Robust Model Predictive Control Design in Uncertain Systems

IEEE Access, 2020
A novel robust model predictive control (RMPC) scheme is developed for uncertain nonlinear systems. To the RMPC design, firstly, the uncertain system would be described using a linear fractional transformation (LFT).
Valiollah Ghaffari, Saleh Mobayen, Wing-Kwong Wong   +2 more
doaj   +1 more source

Gain-scheduled synchronization of parameter varying systems via relative $H_\infty$ consensus with application to synchronization of uncertain bilinear systems

, 2014
The paper considers a problem of consensus-based synchronization of uncertain parameter varying multi-agent systems. We present a method for constructing consensus-based synchronization protocol schedules for each agent to ensure it synchronizes with a ...
Ugrinovskii, V.
core   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Uncertain Numbers

Mathematics
This work presents a mathematical framework based on uncertain numbers to address the inherent uncertainty in nonlinear systems, a challenge that traditional mathematical frameworks often struggle to fully capture.
Peng Yue
doaj   +1 more source

Analytical prediction method of power system frequency deviation under uncertain power fluctuations

IET Generation, Transmission & Distribution, 2023
In modern power systems, the impact of random power sources and loads on power systems is increasing, resulting in threatened system frequency security.
Lixuan Zhu, Ping Ju, Yiping Yu
doaj   +1 more source

Adaptive Matching for Expert Systems with Uncertain Task Types

, 2017
A matching in a two-sided market often incurs an externality: a matched resource may become unavailable to the other side of the market, at least for a while. This is especially an issue in online platforms involving human experts as the expert resources
Gulikers, Lennart, Massoulie, Laurent, Shah, Virag, Vojnovic, Milan   +3 more
core   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

State geometric adjustability for interval max‐plus linear systems

IET Control Theory & Applications
This article investigates the state geometric adjustability for interval max‐plus linear systems, which means that the state vector sequence is transformed into a geometric vector sequence by using the state feedback control.
Yingxuan Yin, Haiyong Chen, Yuegang Tao
doaj   +1 more source