Control Theory Of Digitally Networked Dynamic Systems
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Control Theory of Digitally Networked Dynamic Systems
Author: Jan Lunze
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-07-06
The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven, digitally networked systems, and design methods for distributed estimation and control. Networked model predictive control is developed as a means to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling is replaced by state-dependent triggering schemes. Novel methods for multi-agent systems ensure complete or clustered synchrony of agents with identical or with individual dynamics. The book includes numerous references to the most recent literature. Many methods are illustrated by numerical examples or experimental results.
Self-organizing control of networked systems
Author: René Schuh
language: en
Publisher: Logos Verlag Berlin GmbH
Release Date: 2017-08-27
This thesis presents a novel distributed control paradigm for networked control systems in which the local control units of the subsystems exchange information, whenever this is necessary to fulfill an overall control aim. The local control units act in a self-organized way, which means that they adapt their communication structure depending on the current situation of the subsystems based on locally available information only. A new controller structure is proposed. The local control units are divided into three components fulfilling universal tasks to generate a situation-dependent communication structure: The feedback unit performs a local feedback by using local measurements to fulfill basic performance requirements. The observation unit detects the current situation of the subsystem by evaluating locally available information. The decision unit decides about the transmission of information from the corresponding subsystem to other local control units. Two self-organizing controllers for physically interconnected systems in which the local control units adapt the communication among each other depending on the current disturbances are introduced. Furthermore, three novel self-organizing controllers for synchronizing multi-agent systems within leader-follower structures by adapting the communication structure to situations like set-point changes, disturbances and communication faults are proposed. The concepts are applied in order to control a water supply system and a robot formation.
Optimal Sequence-Based Control of Networked Linear Systems
Author: Fischer, Joerg
language: en
Publisher: KIT Scientific Publishing
Release Date: 2015-01-12
In Networked Control Systems (NCS), components of a control loop are connected by data networks that may introduce time-varying delays and packet losses into the system, which can severly degrade control performance. Hence, this book presents the newly developed S-LQG (Sequence-Based Linear Quadratic Gaussian) controller that combines the sequence-based control method with the well-known LQG approach to stochastic optimal control in order to compensate for the network-induced effects.