Abstract
In this paper, tracking problem for high-order agents under uncertain communication topology and time varying delays is investigated. Each tracking agent is assumed only its own and neighbors' information is used in their tracking strategy design. The uncertain communication topology is modelled by a finite number of Laplacian matrices with their corresponding scheduling functions. Sufficient conditions for the existence of a tracking strategy have been expressed in terms of the solvability of linear matrix inequalities. Finally, numerical examples are given to verify the effectiveness and advantages of proposed tracking strategy. Through a set of simulations with various control parameters γ, the relationship between γand the maximum allowable communications delays is tabulated.
Original language | English |
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Pages (from-to) | 1360-1369 |
Number of pages | 10 |
Journal | Neurocomputing |
Volume | 149 |
Issue number | PC |
DOIs | |
Publication status | Published - 3 Feb 2015 |
Keywords
- Communication delays
- High-order multi-agent systems
- Time-varying topology
- Tracking strategy