Results 91 to 100 of about 980,426 (317)
Mathematical models and algorithms for multi-agent control systems
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The linear position control algorithms for multi-agent systems are described. The algorithms use a minimum of prior information and spread of these algorithms to the multidimensional case. The methods take into account the external impacts.
S. M. Dymkov +2 more
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Learning-Gain-Adaptive Iterative Learning Control to Linear Discrete-Time-Invariant Systems
IEEE Access, 2019 For a class of repetitive linear discrete-time-invariant systems with the unit relative degree, a learning-gain-adaptive iterative learning control (LGAILC) mechanism is exploited, for which the iteration-wise performance index is to maximize the ...
Xiaohui Li, Xiaoe Ruan, Yan Liu
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Optimal unpredictable control for linear systems
AutomaticaIn this paper, we investigate how to achieve the unpredictability against malicious inferences for linear systems. The key idea is to add stochastic control inputs, named as unpredictable control, to make the outputs irregular. The future outputs thus become unpredictable and the performance of inferences is degraded.
Chendi Qu +3 more
openaire +2 more sources
Predictive pole-placement control with linear models [PDF]
, 2002 The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation-based model-predictive formulation. This provides an alternative to model-predictive controllers
Ronco, E., Gawthrop, P.J.
core +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Fuzzy BIBO Stability of Linear Control Systems
Journal of Mathematical Extension, 2014 In this paper, the concept of stability for fuzzy control systems is discussed from a mathematical point of view. Our main objective is to investigate the stability of fuzzy linear systems with bounded input and bounded output.
T. Allahviranloo +3 more
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Optimized Iterative Learning Control for Linear Discrete-Time-Invariant Systems
IEEE Access, 2019 In this paper, an optimized first-order iterative learning control (OILC) scheme is explored for a class of linear discrete-time-invariant systems with Markov parameters available and the system relative degree being unity.
Yan Liu, Xiaoe Ruan, Xiaohui Li
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FEBS Letters, EarlyView.Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes +4 more
wiley +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
H-infinity control of switched linear parabolic systems
Electronic Journal of Differential Equations, 2014 The $H_{\infty}$ control problem of a class of switched linear parabolic systems is considered. By applying the multiple Lyapunov function method and the average dwell time scheme, sufficient conditions for exponential stability and the $H_{\infty}$
Leping Bao, Shumin Fei, Lin Chai
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