Towards stable kinetics of large metabolic networks: Nonequilibrium potential function approach

2016 ◽  
Vol 93 (6) ◽  
Author(s):  
Yong-Cong Chen ◽  
Ruo-Shi Yuan ◽  
Ping Ao ◽  
Min-Juan Xu ◽  
Xiao-Mei Zhu
Keyword(s):  
Potential Function ◽  
Metabolic Networks ◽  
Function Approach ◽  
Nonequilibrium Potential ◽  
Kinetics Of

Distribution function approach to the study of the kinetics of IgM antibody binding to FcγRIIIb (CD16b) receptors on neutrophils by flow cytometry

2011 ◽  
Vol 290 ◽  
pp. 1-6 ◽  
Author(s):  
Darya Yu. Orlova ◽  
Vyacheslav I. Borisov ◽  
Vladimir S. Kozhevnikov ◽  
Valeri P. Maltsev ◽  
Andrei V. Chernyshev
Keyword(s):  
Flow Cytometry ◽  
Distribution Function ◽  
Antibody Binding ◽  
Function Approach ◽  
Igm Antibody ◽  
Kinetics Of

A potential function approach to surface coverage for a surgical robot

2006 ◽  
Vol 11 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Nathan Abraham ◽  
Alon Wolf ◽  
Howie Choset
Keyword(s):  
Potential Function ◽  
Surface Coverage ◽  
Surgical Robot ◽  
Function Approach

Rigid Formation of a Group of Vehicles Using Constraint Forces

2006 ◽  
Author(s):  
Yunfei Zou ◽  
Prabhakar Pagilla
Keyword(s):  
Potential Function ◽  
Control Algorithm ◽  
Function Approach ◽  
Constraint Forces ◽  
Constraint Force ◽  
System Of Particles ◽  
Applied Forces ◽  
Simulation Results ◽  
Stable Control

We consider the problem of controlling a group of vehicles to a rigid formation. Our approach mimics the development of dynamics of a system of particles subject to constraints. In particular, we use the notion of constraint forces to achieve, and maintain, a given formation. As opposed to the potential function approach used in the literature, the proposed constraint force approach directly compensates for only those parts of the applied forces which act against the constraints. We develop a stable control algorithm that will achieve the formation while ensuring navigation of the group based on the desired trajectories that are consistent with the constraints. Simulation results on an example are shown to verify the proposed method.

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