Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems
Studies in Systems, Decision and Control

Robust Receding Horizon Control for Networked and Distributed Nonlinear Systems

    • $84.99
    • $84.99

Publisher Description

This book offers a comprehensive, easy-to-understand overview of receding-horizon control for nonlinear networks. It presents novel general strategies that can simultaneously handle general nonlinear dynamics, system constraints, and disturbances arising in networked and large-scale systems and which can be widely applied. These receding-horizon-control-based strategies can achieve sub-optimal control performance while ensuring closed-loop stability: a feature attractive to engineers.

The authors address the problems of networked and distributed control step-by-step, gradually increasing the level of challenge presented. The book first introduces the state-feedback control problems of nonlinear networked systems and then studies output feedback control problems. For large-scale nonlinear systems, disturbance is considered first, then communication delay separately, and lastly the simultaneous combination of delays and disturbances. Each chapter of this easy-to-follow book not only proposes and analyzes novel control algorithms and/or strategies, but also rigorously develops provably correct design conditions. It also provides concise, illustrative examples to demonstrate the implementation procedure, making it invaluable both for academic researchers and engineering practitioners.

GENRE
Professional & Technical
RELEASED
2016
October 22
LANGUAGE
EN
English
LENGTH
197
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
5.6
MB

More Books Like This

Other Books in This Series

Control Synthesis of Switched Systems Control Synthesis of Switched Systems
2016
Control and Filtering for Semi-Markovian Jump Systems Control and Filtering for Semi-Markovian Jump Systems
2016
Mob Control: Models of Threshold Collective Behavior Mob Control: Models of Threshold Collective Behavior
2017
Implementing Polytope Projects for Smart Systems Implementing Polytope Projects for Smart Systems
2017
Advances in Automated Valuation Modeling Advances in Automated Valuation Modeling
2017
Decentralized Neural Control: Application to Robotics Decentralized Neural Control: Application to Robotics
2017