Networked Control Systems with Intermittent Feedback
Networked Control Systems with Intermittent Feedback explores the concept of Networked Control Systems (NCSs), which are spatially distributed systems where communication between sensors, actuators, and controllers is realized through a shared (wired or wireless) communication network.
NCSs present several advantages, including reduced installation and maintenance costs, and greater flexibility, compared to conventional control systems that rely on dedicated point-to-point connections for information exchange within control loops.
The principal aim of this book is to provide a coherent and versatile framework applicable to various settings investigated by the authors over several years. This framework is relevant to nonlinear time-varying dynamic plants and controllers with delayed dynamics. It also covers a broad class of static, dynamic, probabilistic, and priority-oriented scheduling protocols and addresses issues such as delayed, noisy, lossy, and intermittent information exchange.
Moreover, the book delves into decentralized control problems involving heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies. It considers both state- and output-feedback mechanisms, as well as off-line and on-line intermittent feedback methods.
The text also covers optimal intermittent feedback techniques through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL), in addition to control systems dealing with exogenous disturbances and modelling uncertainties.
Networked Control Systems with Intermittent Feedback explores the concept of Networked Control Systems (NCSs), which are spatially distributed systems where communication between sensors, actuators, and controllers is realized through a shared (wired or wireless) communication network.
NCSs present several advantages, including reduced installation and maintenance costs, and greater flexibility, compared to conventional control systems that rely on dedicated point-to-point connections for information exchange within control loops.
The principal aim of this book is to provide a coherent and versatile framework applicable to various settings investigated by the authors over several years. This framework is relevant to nonlinear time-varying dynamic plants and controllers with delayed dynamics. It also covers a broad class of static, dynamic, probabilistic, and priority-oriented scheduling protocols and addresses issues such as delayed, noisy, lossy, and intermittent information exchange.
Moreover, the book delves into decentralized control problems involving heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies. It considers both state- and output-feedback mechanisms, as well as off-line and on-line intermittent feedback methods.
The text also covers optimal intermittent feedback techniques through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL), in addition to control systems dealing with exogenous disturbances and modelling uncertainties.
Description
Networked Control Systems with Intermittent Feedback explores the concept of Networked Control Systems (NCSs), which are spatially distributed systems where communication between sensors, actuators, and controllers is realized through a shared (wired or wireless) communication network.
NCSs present several advantages, including reduced installation and maintenance costs, and greater flexibility, compared to conventional control systems that rely on dedicated point-to-point connections for information exchange within control loops.
The principal aim of this book is to provide a coherent and versatile framework applicable to various settings investigated by the authors over several years. This framework is relevant to nonlinear time-varying dynamic plants and controllers with delayed dynamics. It also covers a broad class of static, dynamic, probabilistic, and priority-oriented scheduling protocols and addresses issues such as delayed, noisy, lossy, and intermittent information exchange.
Moreover, the book delves into decentralized control problems involving heterogeneous agents with time-varying directed (not necessarily balanced) communication topologies. It considers both state- and output-feedback mechanisms, as well as off-line and on-line intermittent feedback methods.
The text also covers optimal intermittent feedback techniques through Approximate Dynamic Programming (ADP) and Reinforcement Learning (RL), in addition to control systems dealing with exogenous disturbances and modelling uncertainties.
