scholarly journals Guest Editorial: Autonomous systems: Navigation, learning, and control

2021 ◽  
Vol 3 (4) ◽  
pp. 279-280
Author(s):  
Yu Zhang ◽  
Fei Gao ◽  
Yuxiang Sun ◽  
Naira Hovakimyan ◽  
Zheng Fang
Keyword(s):  
Guest Editorial ◽  
Autonomous Systems ◽  
And Control

Design and Control of Drones

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mark W. Mueller ◽  
Seung Jae Lee ◽  
Raffaello D’Andrea
Keyword(s):  
Energy Consumption ◽  
Motion Planning ◽  
Recent Progress ◽  
Scaling Laws ◽  
Autonomous Systems ◽  
Annual Review ◽  
Publication Date ◽  
Trade Offs ◽  
Active Research ◽  
And Control

The design and control of drones remain areas of active research, and here we review recent progress in this field. In this article, we discuss the design objectives and related physical scaling laws, focusing on energy consumption, agility and speed, and survivability and robustness. We divide the control of such vehicles into low-level stabilization and higher-level planning such as motion planning, and we argue that a highly relevant problem is the integration of sensing with control and planning. Lastly, we describe some vehicle morphologies and the trade-offs that they represent. We specifically compare multicopters with winged designs and consider the effects of multivehicle teams. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Guest Editorial Advances in Metropolitan Optical Networks (Architecture and Control)

2004 ◽  
Vol 22 (8) ◽  
pp. 1393-1395
Author(s):  
I. Habib ◽  
D.O. Awduche ◽  
A. Fumagalli ◽  
W.H. Tranter
Keyword(s):  
Optical Networks ◽  
Guest Editorial ◽  
And Control

scholarly journals Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control

2020 ◽  
Vol 4 (3) ◽  
pp. 710-712
Author(s):  
Giovanni Cherubini ◽  
Martin Guay ◽  
Sophie Tarbouriech ◽  
Kartik Ariyur ◽  
Mireille E. Broucke ◽  
...  
Keyword(s):  
Guest Editorial ◽  
Editorial Introduction ◽  
Special Issue ◽  
And Control

scholarly journals Model Reduction Methods for Complex Network Systems

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
X. Cheng ◽  
J.M.A. Scherpen
Keyword(s):  
Autonomous Systems ◽  
High Dimensional ◽  
Annual Review ◽  
Publication Date ◽  
Network Systems ◽  
Modeling And Control ◽  
Reduced Order ◽  
Reduction Methods ◽  
The Stability ◽  
And Control

Network systems consist of subsystems and their interconnections and provide a powerful framework for the analysis, modeling, and control of complex systems. However, subsystems may have high-dimensional dynamics and a large number of complex interconnections, and it is therefore relevant to study reduction methods for network systems. Here, we provide an overview of reduction methods for both the topological (interconnection) structure of a network and the dynamics of the nodes while preserving structural properties of the network. We first review topological complexity reduction methods based on graph clustering and aggregation, producing a reduced-order network model. Next, we consider reduction of the nodal dynamics using extensions of classical methods while preserving the stability and synchronization properties. Finally, we present a structure-preserving generalized balancing method for simultaneously simplifying the topological structure and the order of the nodal dynamics. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 3, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals A multilevel sampled‐data approach for resilient navigation and control of autonomous systems

2019 ◽  
Vol 30 (3) ◽  
pp. 1071-1097
Author(s):  
Hamidreza Jafarnejadsani ◽  
Neng Wan ◽  
Naira Hovakimyan ◽  
Petros G. Voulgaris
Keyword(s):  
Autonomous Systems ◽  
Sampled Data ◽  
Navigation And Control ◽  
And Control
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