DeepAI AI Chat
Log In Sign Up

Optimal Stationary Synchronization of Heterogeneous Linear Multi-Agent Systems

by   Sebastian Bernhard, et al.

Based on an approach with bounded virtual exosystems, the output synchronization of heterogeneous linear networks is addressed. Instead of exact synchronization with zero steady-state error, we introduce optimal stationary synchronization. Then, each agent is able to balance its synchronization error versus its consumed input-energy. In this regard, a local, time-invariant optimal control is obtained by means of recently developed methods for infinite-time linear quadratic tracking. Extending these methods, we present a parametric optimization problem to obtain an optimal control that guarantees given error-bounds on the synchronization error. In addition, we are able to relax standard assumptions and our approach applies even for agents which usually cannot synchronize exactly, e.g. agents with less inputs than outputs. All these aspects are demonstrated by an illustrative simulation example for which a detailed analysis is provided.


page 1

page 2

page 3

page 4


Design of heterogeneous multi-agent system for distributed computation

A group behavior of a heterogeneous multi-agent system is studied which ...

Cooperative Path Integral Control for Stochastic Multi-Agent Systems

A distributed stochastic optimal control solution is presented for coope...

Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack

In this paper, we show synchronization for a group of output passive age...

Utilizing synchronization to partition power networks into microgrids

The problem of partitioning a power grid into a set of microgrids, or is...

Exact Synchronization for Finite-State Sources

We analyze how an observer synchronizes to the internal state of a finit...