Work

A New Robust Adaptive Decentralized Tube Model Predictive Control of Continuous Time Uncertain Nonlinear Large-Scale Systems

Year: 2019

Type: article

Abstract: In this paper, a new decentralized model predictive control has been proposed for continuous-time nonlinear large-scale systems made of multiple interconnected subsystems and uncertain systems with disturbances. This approach is characterized by: (I) consideration of input and state constraints, (II) no requirement for information transmission between local control rules, (III) robustness of local controllers to uncertainty in model and disturbances.; (IV) bounded disturbances in subsystems, but their upper bound is not specified; (V) a robust invariant set for each controller; (VI) proven closed-loop system overall stability and convergence. In order to show the key features and the performance of the proposed algorithm, a simulation model has been provided.

Source: Cogent Engineering

DOI: 10.1080/23311916.2019.1680093

Authors: Samane Fazeli, Naiem Abdollahi, Hashem Imani Marrani, Hamid Malekizade, Hasan Hosseinzadeh

Institutions: Islamic Azad University, Tehran, Islamic Azad University, Science and Research Branch, Islamic Azad University Central Tehran Branch, Islamic Azad University South Tehran Branch, Islamic Azad University Ardabil, Imam Khomeini Marine Science University

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,165

OpenAlex ID: W2980786802

FWCI: 0.693

Cites: 46

Cited by: 8

Related to: 10