scholarly journals CONTROLLING NETWORK DYNAMICS

2019 ◽  
Vol 22 (07n08) ◽  
pp. 1950021 ◽  
Author(s):  
AMING LI ◽  
YANG-YU LIU
Keyword(s):  
Rapid Development ◽  
Network Dynamics ◽  
Great Depth ◽  
Network Control ◽  
Networked Systems ◽  
Practical Applications ◽  
Dynamics And Control ◽  
Engineered Systems ◽  
And Control ◽  
Near Future

Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex networked systems were harvested from analyzing big empirical data. The associated dynamical processes on complex networks were also heavily studied. In the second decade, more attention was devoted to investigating the control of complex networked systems, ranging from fundamental theories to practical applications. Here we briefly review the recent progress regarding network dynamics and control, mainly concentrating on research questions proposed in the six papers we collected for this topical issue. This review closes with possible research directions along this line, and several important problems to be solved. We expect that, in the near future, network control will play an even bigger role in more fields, helping us understand and control many complex natural and engineered systems.

scholarly journals Optimal control of complex networks with conformity behavior

2022 ◽  
Vol 2022 (1) ◽  
pp. 013401
Author(s):  
Zu-Yu Qian ◽  
Cheng Yuan ◽  
Jie Zhou ◽  
Shi-Ming Chen ◽  
Sen Nie
Keyword(s):  
Optimal Control ◽  
Complex Networks ◽  
Critical Point ◽  
Control Strategy ◽  
Network Connectivity ◽  
Network Control ◽  
Networked Systems ◽  
Optimal Control Strategy ◽  
Practical Applications ◽  
Conformity Behavior

Abstract Despite the significant advances in identifying the driver nodes and energy requiring in network control, a framework that incorporates more complicated dynamics remains challenging. Here, we consider the conformity behavior into network control, showing that the control of undirected networked systems with conformity will become easier as long as the number of external inputs beyond a critical point. We find that this critical point is fundamentally determined by the network connectivity. In particular, we investigate the nodal structural characteristic in network control and propose optimal control strategy to reduce the energy requiring in controlling networked systems with conformity behavior. We examine those findings in various synthetic and real networks, confirming that they are prevailing in describing the control energy of networked systems. Our results advance the understanding of network control in practical applications.

Dynamic Analysis and Control of Multi-Body Manufacturing Systems Based on Newton–Euler Formulation

2015 ◽  
Vol 12 (02) ◽  
pp. 1550007 ◽  
Author(s):  
Yunn-Lin Hwang ◽  
Van-Thuan Truong
Keyword(s):  
Dynamic Analysis ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Practical Applications ◽  
Dynamics And Control ◽  
Dynamical Parameters ◽  
Reaction Forces ◽  
Constrained Equations ◽  
Multi Body ◽  
And Control

This paper presents the numerical dynamic analysis and control of multi-body manufacturing systems based on Newton–Euler formulation. The models of systems built with dynamical parameters are executed. The research uses Newton–Euler formulation application in mechanics calculations, where relations between contiguous bodies through joints as well as their constrained equations are considered. The kinematics and dynamics are both analyzed and acquired by practical applications. Numerical tools help to determine all dynamic characteristics of multi-body manufacturing systems such as displacements, velocities, accelerations and reaction forces of bodies and joints. Using the acquisition, the dynamic approach of multi-body manufacturing systems is developed then whole fundamentals for controller tuning are obtained. It leads to an effective solution for mechanical manufacturing system investigation. Numerical examples are also presented as the illustrations in this paper. The numerical results imply that numerical equations based on Newton–Euler algorithm are valuable in multi-body manufacturing system. It is an effective approach for solving whole mechatronic manufacturing systems including structures, kinematics, dynamics and control.

Synchronization, Non-linear Dynamics and Control

2018 ◽  
Author(s):  
Ginestra Bianconi
Keyword(s):  
Multivariate Time Series ◽  
Network Control ◽  
Structural Constraints ◽  
Multilayer Networks ◽  
Linear Dynamics ◽  
Multiplex Network ◽  
Non Linear ◽  
Dynamics And Control ◽  
The Stability ◽  
And Control

This chapter is entirely devoted to characterizing non-linear dynamics on multilayer networks. Special attention is given to recent results on the stability of synchronization that extend the Master Stability Function approach to the multilayer networks scenario. Discontinous synchronization transitions on multiplex networks recently reported in the literature are also discussed, and their application discussed in the context of brain networks. This chapter also presents an overview of the major results regarding pattern formation in multilayer networks, and the proposed characterization of multivariate time series using multiplex visibility graphs. Finally, the chapter discusses several approaches for multiplex network control where the dynamical state of a multiplex network needs to be controlled by eternal signals placed on replica nodes satisfying some structural constraints.

scholarly journals Submodularity in Dynamics and Control of Networked Systems

2016 ◽  
Author(s):  
Andrew Clark ◽  
Basel Alomair ◽  
Linda Bushnell ◽  
Radha Poovendran
Keyword(s):  
Networked Systems ◽  
Dynamics And Control ◽  
And Control

PROJECT ON ELECTRONIC STEERING SYSYTEM

2018 ◽  
Vol 4 (5) ◽  
pp. 7
Author(s):  
Shivam Dwivedi ◽  
Prof. Vikas Gupta
Keyword(s):  
Steering System ◽  
Essential Elements ◽  
Variable Pressure ◽  
Passenger Cars ◽  
Control Techniques ◽  
Steering Mechanism ◽  
Dynamics And Control ◽  
Active Research ◽  
Electronic Steering ◽  
And Control

As the four-wheel steering (4WS) system has great potentials, many researchers' attention was attracted to this technique and active research was made. As a result, passenger cars equipped with 4WS systems were put on the market a few years ago. This report tries to identify the essential elements of the 4WS technology in terms of vehicle dynamics and control techniques. Based on the findings of this investigation, the report gives a mechanism of electronically controlling the steering system depending on the variable pressure applied on it. This enhances the controlling and smoothens the operation of steering mechanism.

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