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Control and optimization based on ne...

Sun, Xi-Ming.

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Control and optimization based on network communication

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Control and optimization based on network communication/ by Xi-Ming Sun ... [et al.].
其他作者:	Sun, Xi-Ming.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xii, 120 p. :ill., digital ;24 cm.
內容註:	Event-triggered control for nonlinear systems with stochastic dynamics, transmission instants and protocol -- Model-based controller -- Stability analysis of event-triggered nonlinear systems under stochastic DoS attacks -- Distributed optimization with network communication -- Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks -- A distributed robust two-time-scale switched algorithm for constrained aggregative games -- Conclusions and perspectives.
Contained By:	Springer Nature eBook
標題:	Adaptive control systems. -
電子資源:	https://doi.org/10.1007/978-981-19-9534-7
ISBN:	9789811995347

Control and optimization based on network communication
Control and optimization based on network communication[electronic resource] /by Xi-Ming Sun ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xii, 120 p. :ill., digital ;24 cm.

Event-triggered control for nonlinear systems with stochastic dynamics, transmission instants and protocol -- Model-based controller -- Stability analysis of event-triggered nonlinear systems under stochastic DoS attacks -- Distributed optimization with network communication -- Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks -- A distributed robust two-time-scale switched algorithm for constrained aggregative games -- Conclusions and perspectives.

This book considers the problems of network-based control and optimization. As is known, network-based control has great advantages over traditional control systems because it may lead to easy installation and maintenance, low cost, and so on. Sometimes, network-based control is also necessary in many situations. For example, multi-agents may need to communicate with each other under wireless scenarios. On the other hand, the network may lead to some imperfect factors such as samplings, delays, transmission protocols, and packet losses. These factors may degrade the system performance and even lead to the instability of the control systems. This book aims at providing a modeling framework and analysis approach for the general nonlinear networked control systems based on the hybrid framework. The proposed results deal with very general nonlinear systems and help the readers understand the principle of nonlinear network-based control and optimization.

ISBN: 9789811995347

Standard No.: 10.1007/978-981-19-9534-7doiSubjects--Topical Terms:

533905
Adaptive control systems.

LC Class. No.: TJ217

Dewey Class. No.: 629.836

Control and optimization based on network communication
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505 0 $a Event-triggered control for nonlinear systems with stochastic dynamics, transmission instants and protocol -- Model-based controller -- Stability analysis of event-triggered nonlinear systems under stochastic DoS attacks -- Distributed optimization with network communication -- Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks -- A distributed robust two-time-scale switched algorithm for constrained aggregative games -- Conclusions and perspectives.
520 $a This book considers the problems of network-based control and optimization. As is known, network-based control has great advantages over traditional control systems because it may lead to easy installation and maintenance, low cost, and so on. Sometimes, network-based control is also necessary in many situations. For example, multi-agents may need to communicate with each other under wireless scenarios. On the other hand, the network may lead to some imperfect factors such as samplings, delays, transmission protocols, and packet losses. These factors may degrade the system performance and even lead to the instability of the control systems. This book aims at providing a modeling framework and analysis approach for the general nonlinear networked control systems based on the hybrid framework. The proposed results deal with very general nonlinear systems and help the readers understand the principle of nonlinear network-based control and optimization.
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