Towards probabilistic synchronisation of local controllers

The traditional use of global and centralised control methods fails for large, complex, noisy and highly con Waded systems, which typify many real world industrial and commercial systems, This paper provides an efficient bottom-up design of distributed control in which many simple components communicate an cooperate to achieve a joint system goal. Each component acts individually so as to maximise personal utility whilst obtaining proloabilistic information on the global system merely through local message-passing This leads to an implied scalable and collective control strategy for complex dynamical systems, without the problems of global centralised control. Robustness is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, can be implemented adaptively and opens a systematic rich way to information sharing. This paper opens the foreseen direction and inspects the proposed design on linearised version of coupled map lattice with spatio-temporal chaos, A version close to linear quadratic design gives an initial insight into possible behaviours of such networks.