Decentralized Reduced Order Observer Design for Large-Scale Plants with Unknown Inputs

In this paper, we propose a new method to design a decentralized reduced order observer for large scale plants with unknown inputs. In this approach, large scale plant isdecomposed into several subsystems with interconnected terms, then interconnected terms will be eliminated by using the appropriate transformations in new form of dynamical equation of each subsystem. Based on this method, states estimation doesn’t require exchanging information between the subsystems. Here, if plant satisfies the existence condition for designing stable observer with unknown input (UIO), we use estimation error dynamic and negative definite to provide the observer convergence. Finally, effectiveness of the method is shown by using a numerical example and corresponding simulation.