MPC based State Observer and its application for system with input-output disturbances

Shadab, S.; Pardeshi, Dimple; Mohite, S.; Bhil, S.

doi:10.1109/icpes47639.2019.9105502

Cited by 3 publications

(1 citation statement)

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“…Two practical examples are given to illustrate the effectiveness of the method. The improved observer is also used in battery management system [19], in which the high gain observer is formulated to estimate the output voltage and load current. These estimated values are fed forward to the MPC.…”

Section: Introductionmentioning

confidence: 99%

Observer‐based distributed model predictive control of complex systems with state coupling constraints

Cao

2022

IET Control Theory & Appl

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In this paper, the cooperative distributed model predictive control (DMPC) problem of a class of complex systems consisting of several subsystems is studied. The states of these subsystems are coupled with each other, and thus bring challenges for the model predictive control algorithm. Moreover, though the subsystems can communicate with each other, they only can access to the output information of their neighboring subsystems. In this case, Luenberger observers are used to estimate the unknown states and a distributed prediction strategy is established for the studied system. Then, the optimal control of the closed‐loop system is realized by designing distributed model predictive controller on the basis of the estimated states. The terminal constraints are introduced in the proposed DMPC algorithm to ensure the iterative feasibility and also the stability of the closed‐loop. Finally, the effectiveness of the proposed method is verified by a numerical simulation.

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Section: Introductionmentioning

confidence: 99%