Multi-Domain Physical System Modeling and Control Based on Meta-Modeling and Graph Rewriting

2006 ◽  
Author(s):  
Sagar Sen ◽  
Hans Vangheluwe
Keyword(s):  
Physical System ◽  
System Modeling ◽  
Graph Rewriting ◽  
Modeling And Control ◽  
Meta Modeling ◽  
And Control

Survey on Aerial Manipulator: System, Modeling, and Control

Robotica ◽  
2019 ◽  
Vol 38 (7) ◽  
pp. 1288-1317 ◽  
Author(s):  
Xiangdong Meng ◽  
Yuqing He ◽  
Jianda Han
Keyword(s):  
System Modeling ◽  
Future Research ◽  
Typical Application ◽  
Modeling And Control ◽  
Aerial Manipulator ◽  
Initial Appearance ◽  
Aerial Vehicle ◽  
New Type ◽  
And Control ◽  
Flying Robot

SUMMARYThe aerial manipulator is a special and new type of flying robot composed of a rotorcraft unmanned aerial vehicle (UAV) and a/several manipulator/s. It has gained a lot of attention since its initial appearance in 2010. This is mainly because it enables traditional UAVs to conduct versatile manipulating tasks from air, considerably enriching their applications. In this survey, a complete and systematic review of related research on this topic is conducted. First, various types of structure designs of aerial manipulators are listed out. Subsequently, the modeling and control methods are introduced in detail from the perspective of two types of typical application cases: free-flight and motion-restricted operations. Finally, challenges for future research are presented.

The Application of Cell Mapping to Dynamic Modeling and Control

2014 ◽  
Vol 687-691 ◽  
pp. 661-664
Author(s):  
Ling Li Guo ◽  
Ye Wang
Keyword(s):  
System Modeling ◽  
Cell Mapping ◽  
Blast Temperature ◽  
Modeling And Control ◽  
Dynamical System Modeling ◽  
Time Optimal ◽  
Point Control ◽  
Set Point Control ◽  
And Control ◽  
Input Level

A dynamical system modeling method based on cell mapping is proposed in order to describe the system statistic property, and then a discrete optimal control table is constructed through each state cell excited by all input level recording the optimal cost value at the same time. Finally, a demonstration of the method is shown for the time optimal blast temperature set point control of a sintering machine.

BIOMECHANICAL STABILITY ANALYSIS OF THE λ-MODEL CONTROLLING ONE JOINT

2007 ◽  
Vol 17 (03) ◽  
pp. 193-206 ◽  
Author(s):  
L. LAN ◽  
K. Y. ZHU
Keyword(s):  
Equilibrium Point ◽  
Motor System ◽  
Jacobian Matrix ◽  
System Modeling ◽  
Neuromuscular Disorders ◽  
Biomechanical Stability ◽  
Modeling And Control ◽  
Human Motor ◽  
The Stability ◽  
And Control

Computer modeling and control of the human motor system might be helpful for understanding the mechanism of human motor system and for the diagnosis and treatment of neuromuscular disorders. In this paper, a brief view of the equilibrium point hypothesis for human motor system modeling is given, and the λ-model derived from this hypothesis is studied. The stability of the λ-model based on equilibrium and Jacobian matrix is investigated. The results obtained in this paper suggest that the λ-model is stable and has a unique equilibrium point under certain conditions.

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