TY  - BOOK
AU  - Tolic,Domagoj
AU  - Hirche,Sandra
TI  - Networked Control Systems with Intermittent Feedback
T2  - Automation and Control Engineering
SN  - 9781315331867
AV  - TJ216 .T655 2017
U1  - 629.89 
PY  - 2017///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Computer networks
KW  - Feedback control systems
KW  - Aerospace Engineering
KW  - Instrumentation, Measurement & Testing
KW  - Systems & Controls
KW  - TECHNOLOGY & ENGINEERING / Mechanical
KW  - bisacsh
KW  - TECHNOLOGY & ENGINEERING / Sensors
N1  - chapter 1 Introduction -- part I PLANT-CONTROLLER APPLICATIONS -- chapter 2 MATIs with Time-Varying Delays and Model-Based Estima- tors -- chapter 3 Input-Output Triggering -- chapter 4 Optimal Self-Triggering -- chapter 5 Multi-Loop NCSs over a Shared Communication Channels -- part Part II Multi-Agent Applications -- chapter 6 Topology-Triggering of Multi-Agent Systems -- chapter 7 Cooperative Control in Degraded Communication Environ- ments -- chapter 8 Optimal Intermittent Feedback via Least Square Policy Iter- ation
N2  - Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers is realized by a shared (wired or wireless) communication network. NCSs offer several advantages, such as reduced installation and maintenance costs, as well as greater flexibility, over conventional control systems in which parts of control loops exchange information via dedicated point-to-point connections. The principal goal of this book is to present a coherent and versatile framework applicable to various settings investigated by the authors over the last several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with delayed dynamics; a large class of static, dynamic, probabilistic and priority-oriented scheduling protocols; delayed, noisy, lossy and intermittent information exchange; decentralized control problems of heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies; state- and output-feedback; off-line and on-line intermittent feedback; optimal intermittent feedback through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL); and control systems with exogenous disturbances and modeling uncertainties.--Provided by publisher
UR  - https://www.taylorfrancis.com/books/9781315367934
ER  -