Optimization Status Sensing and Failure Detection in MPC and Virtual Feedback MPC Applied to a Tank System

2026
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Authors: Jothibasu Marappan; Arun Kumar Pinagapani; Geetha Mani; Nithya Govindaraj; Aadithya Anbumani
Published in: Smart System for Integrated Computing and Communication
Publisher: Springer Nature Switzerland

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Abstract

This chapter delves into the optimization status sensing and failure detection in Model Predictive Control (MPC) and Virtual Feedback MPC applied to a two-tank interacting system. The study highlights the use of the qp.status signal to monitor the optimization status of the MPC block, ensuring robust control performance. Key topics include the implementation of a conventional Kalman Filter (KF) for state estimation, the design of a virtual feedback MPC, and the analysis of ramp and step disturbances. The research demonstrates how the qp.status signal can be utilized to detect controller failures and trigger appropriate actions. The conclusion emphasizes the importance of studying the qp.status signal for reliable control system performance and suggests potential extensions for future work.

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Title: Optimization Status Sensing and Failure Detection in MPC and Virtual Feedback MPC Applied to a Tank System
Authors: Jothibasu Marappan
Arun Kumar Pinagapani
Geetha Mani
Nithya Govindaraj
Aadithya Anbumani
Publisher: Springer Nature Switzerland
Book: Smart System for Integrated Computing and Communication
Print ISBN: 978-3-031-99938-3

Electronic ISBN: 978-3-031-99939-0

Copyright Year: 2026
DOI: https://doi.org/10.1007/978-3-031-99939-0_25

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