SPP 1914 - Cyber-Physical Networking: Analysis and synthesis of combined cooperative control and topology control over wireless network models
November 1, 2016
October 31, 2021
In this project we consider cooperative control of mobile agents or nodes that interact over a wireless network. The network is set up by the nodes, i.e. no external communication infrastructure is assumed. Cooperative control of multi-agent systems, as well as topology control in communication networks, have been studied extensively, but separately. Research on cooperative control of multi-agent systems usually assumes the interaction topology to be given (possibly uncertain). Research on topology control usually aims at improving the network in the sense of communication properties. However, as the interaction topology in a network of mobile agents has a considerable effect on the achievable cooperative control performance, a control scheme that combines dynamic control of the agents motion with adapting the interaction structure to the time-varying conditions of the communication network is expected to significantly improve the achievable performance. To the best of the applicants knowledge, to date such a combined control scheme has not been reported in the literature. The objectives of the proposed research project can be summarised as follows:1. Local topology control will maintain the highest level of algebraic connectivity (aiming at high performance and robustness) while taking into account SINR constraints. This will be achieved by control of the wireless network graph and the interaction graph. Methods of investigation are graph spanners, backbones, and node relocation.2. A distributed cooperative control scheme will be developed for LPV agent models and gain-scheduled local feedback controllers; this will allow to consider mobile robots and vehicles subject to nonholonomic constraints. Analysis and synthesis conditions will be derived that guarantee stability and performance in the sense of the L2 -norm, with a complexity independent of the number of agents while taking constraints on communication resources into account.3. Local information about network properties will be gathered and used for topology control as well as for cooperative control to adapt interconnection weights. Our focus is on distributed and local solutions with the goal to support any system scale.4. Proof of concept will be given by simulation studies based on source-seeking scenarios, which will be selected to highlight the various features of the proposed integrated collaborative control and topology control scheme.