New methods for set-based state estimation and fault diagnosis of dynamic systems and applications

• Grant number: 22/05052-8
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: September 01, 2022
• End date: August 31, 2026
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Marco Henrique Terra
• Grantee: Brenner Santana Rego
• Host Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated scholarship(s): 23/06896-8 - New methods for set-based state estimation and fault diagnosis of dynamic systems and applications, BE.EP.PD

Abstract

Set-based methods have gained attention in the last decades in a wide range of applications due to their robustness and reliability, since the obtained results are often guaranteed. Nevertheless, while set-based estimation and fault diagnosisare relatively consolidated for linear systems, set-based estimation and fault diagnosis of nonlinear discrete-time systems is still an open field. The research project will focus on the investigation of new methods for set-based estimation and fault diagnosis. These explore the benefits of using constrained zonotopes and mixed zonotopes as main set representation, which already presented advantages in set-based state estimation and fault diagnosis of a few classes of discrete-time systems in the doctoral thesis of the candidate. This will result in improvements and extensions of the previous methods, and the application of these algorithms to practical systems such as joint state and parameter estimation of battery packs, load transportation using unmanned aerial vehicles, and computation of safe routes for urban air mobility. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

REGO, BRENNER S.; CARDOSO, DANIEL N.; TERRA, MARCO. H.; RAFFO, GUILHERME V.. Joint State-Parameter Observer-Based Robust Control of a UAV for Heavy Load Transportation. SYNERGETIC COOPERATION BETWEEN ROBOTS AND HUMANS, VOL 1, CLAWAR 2023, v. 810, p. 14-pg., 2024-01-01. (22/05052-8, 14/50851-0)

NASCIMENTO, IURO B. P.; REGO, BRENNER S.; PIMENTA, LUCIANO C. A.; RAFFO, GUILHERME, V. NMPC Strategy for Safe Robot Navigation in Unknown Environments using Polynomial Zonotopes. 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, v. N/A, p. 6-pg., 2023-01-01. (22/05052-8, 14/50851-0)

REGO, BRENNER S.; RAIMONDO, DAVIDE M.; RAFFO, GUILHERME, V. Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systems. AUTOMATICA, v. 179, p. 10-pg., 2025-09-01. (22/05052-8, 14/50851-0)

CAMPOS, JONATAN MOTA; CARDOSO, DANIEL N.; RAFFO, GUILHERME V.. A Robust Nonlinear Flight Control in the Weighted Sobolev Space for a Quadtiltrotor UAV. SYNERGETIC COOPERATION BETWEEN ROBOTS AND HUMANS, VOL 1, CLAWAR 2023, v. 810, p. 12-pg., 2024-01-01. (22/05052-8, 14/50851-0)