Principles of Cyber-Physical Systems
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22

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Published By Cambridge University Press

9781107588981, 9781107066618

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Survey on Remote Estimation Problems

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.007 ◽

2020 ◽

pp. 81-103

Keyword(s):

Estimation Problems ◽

Remote Estimation

Online Adaptive Network Design for Disturbance Rejection

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.009 ◽

2020 ◽

pp. 127-161

Keyword(s):

Network Design ◽

Disturbance Rejection ◽

Adaptive Network

Security in the Cyber-Physical Electric Power Infrastructure

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.014 ◽

2020 ◽

pp. 252-292

Keyword(s):

Electric Power ◽

Power Infrastructure

Middleware for the Internet of Things

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.018 ◽

2020 ◽

pp. 363-386

Keyword(s):

Internet Of Things ◽

The Internet ◽

The Internet Of Things

A Flexible Graph Partitioning Algorithm for Cyber-Physical Systems

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.005 ◽

2020 ◽

pp. 51-78

Keyword(s):

Graph Partitioning ◽

Cyber Physical Systems ◽

Physical Systems ◽

Partitioning Algorithm

Wide-Area Management of Cyber-Physical Infrastructures: A Call to Action

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.021 ◽

2020 ◽

pp. 417-435

Keyword(s):

Wide Area ◽

Call To Action ◽

Area Management

Meanings and Applications of Structure in Networks of Dynamic Systems

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.010 ◽

2020 ◽

pp. 162-206

Keyword(s):

Dynamic Systems

Preface

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.001 ◽

2020 ◽

pp. xix-xxii

Overcoming Uncertainty

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.002 ◽

2020 ◽

pp. 1-2

In Silico and In Vitro Modeling Platforms for Stimulation of Emergent Processes in Neuronal Networks

Principles of Cyber-Physical Systems ◽

10.1017/9781107588981.019 ◽

2020 ◽

pp. 387-414

Keyword(s):

In Silico ◽

Neuronal Networks ◽

In Vitro Modeling ◽

Stimulation Of