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Affiliation

Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Splaiul Independentei 313, Bucharest, Romania

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1 Papers

An Adaptive-Robust Strategy Design for Process Control

Topics: Adaptive Signal Processing and Control; Optimization Problems in Signal Processing; Optimization Algorithms; System Modeling; Real Time Control Systems

Authors: Dumitru Popescu ^{1

;

2} , Catalin Dimon ² and Pierre Borne ³

Affiliations: ¹ Academy of Romanian Scientists, Strada Ilfov 3, Bucharest, Romania , ² Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Splaiul Independentei 313, Bucharest, Romania , ³ Centre de Recherche en Informatique, Signal et Automatiqe de Lille, Ecole Centrale de Lille, Villeneuve d’Ascq, France

Digital Object Identifier: 10.5220/0013838900003982

Proceedings of ICINCO 2025, ISBN: 978-989-758-770-2

Quick Abstract

The paper presents a new design strategy for industrial process control applications. The adaptive-robust control approach considers both adaptive control advantages and robust control benefits; the connection between the two concepts preserves the imposed performances for the closed loop nominal control system. The combined adaptive-robust solution introduces the same integral criterion for parameters identification of the process and for the control algorithm design. An optimal integral criterion and an appropriate robust measure for degradation of the system performances due to variation of the model are introduced in an iterative mechanism. The theoretical approach presented in this paper is validated on a close loop control system, the application being developed in simulation. The proposed strategy is aiming to implement adaptive-robust control in practical process applications.