scholarly journals Stress-matrix-based formation scaling control

Automatica ◽  
2019 ◽  
Vol 101 ◽  
pp. 120-127 ◽  
Author(s):  
Qingkai Yang ◽  
Zhiyong Sun ◽  
Ming Cao ◽  
Hao Fang ◽  
Jie Chen
Keyword(s):  
Author(s):  
Qingkai Yang ◽  
Ming Cao ◽  
Zhiyong Sun ◽  
Hao Fang ◽  
Jie Chen
Keyword(s):  

Author(s):  
Hakan Guler ◽  
Bill Jackson ◽  
Anthony Nixon

Abstract A linearly constrained framework in $\mathbb{R}^d$ is a point configuration together with a system of constraints that fixes the distances between some pairs of points and additionally restricts some of the points to lie in given affine subspaces. It is globally rigid if the configuration is uniquely defined by the constraint system. We show that a generic linearly constrained framework in $\mathbb{R}^2$ is globally rigid if and only if it is redundantly rigid and “balanced”. For unbalanced generic frameworks, we determine the precise number of solutions to the constraint system whenever the rigidity matroid of the framework is connected. We obtain a stress matrix sufficient condition and a Hendrickson type necessary condition for a generic linearly constrained framework to be globally rigid in $\mathbb{R}^d$.


Langmuir ◽  
2012 ◽  
Vol 28 (8) ◽  
pp. 3683-3689 ◽  
Author(s):  
Jason P. Rich ◽  
Gareth H. McKinley ◽  
Patrick S. Doyle

Author(s):  
Mugdha Sawant ◽  
Boris Hinz ◽  
Katrin Schönborn ◽  
Isabel Zeinert ◽  
Beate Eckes ◽  
...  

2011 ◽  
Vol 368-373 ◽  
pp. 3106-3112
Author(s):  
Wei Shuo Wang ◽  
Guang Jian Bao

A space beam element is derived for geometrically nonlinear analysis based on the principle of minimum potential energy principle. The impact of high-order nonlinear is considered by introducing the axial deformation into the stiffness matrix. The large displacement matrix is divided into four and the initial stress matrix into three submatrix


2020 ◽  
Vol 71 (1) ◽  
pp. 49-78 ◽  
Author(s):  
Joana S. Cruz-Pereira ◽  
Kieran Rea ◽  
Yvonne M. Nolan ◽  
Olivia F. O'Leary ◽  
Timothy G. Dinan ◽  
...  

Depression remains one of the most prevalent psychiatric disorders, with many patients not responding adequately to available treatments. Chronic or early-life stress is one of the key risk factors for depression. In addition, a growing body of data implicates chronic inflammation as a major player in depression pathogenesis. More recently, the gut microbiota has emerged as an important regulator of brain and behavior and also has been linked to depression. However, how this holy trinity of risk factors interact to maintain physiological homeostasis in the brain and body is not fully understood. In this review, we integrate the available data from animal and human studies on these three factors in the etiology and progression of depression. We also focus on the processes by which this microbiota-immune-stress matrix may influence centrally mediated events and on possible therapeutic interventions to correct imbalances in this triune.


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