Banca de QUALIFICAÇÃO: PEDRO MOREIRA DE OLIVEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : PEDRO MOREIRA DE OLIVEIRA
DATE: 24/02/2022
TIME: 09:00
LOCAL: Universidade Federal de São João del-Rei
TITLE:

State-feedback control and Filter Design for Cyber-Physical uncertain Systems under DoS attacks and unreliable Markovian network

KEY WORDS:

Cyber-Physical Systems, DoS Attacks, Communication Constraints, Control Design, Filter Design, Polytopic Uncertainty, Lyapunov Theory.

PAGES: 70
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

This work addresses both the state-feedback control problem and filter design for discrete- time cyber-physical systems (CPS) with polytopic uncertainties. The CPS is subject to the presence of Denial-of-service (DoS) attacks and an unreliable network. The attacker is deemed energetically bounded, which limits the maximum duration of the attacks. Two scenarios are explored throughout this work: i) Only DoS attacks are considered, with the closed-loop system dynamics modeled after a switched system; ii) A non-homogeneous Markov chain is proposed to model the attacks (with its deterministic energy limitations) and stochastic transmission faults due to an unreliable network is limitations (unrelated to the attacks). The utilized Markovian network model is capable of tackling the presence of uncertain and unknown probabilities, which are modeled by using time-varying parameters that aim to
include a wider range of scenarios. A packet-based control strategy is employed in the control applications, and a mode-dependent robust filter is designed for the filtering problem. All the design conditions are obtained through parameter-dependent Linear Matrix Inequalities (LMIs) conditions derived from the Lyapunov Theory. The and the performance criteria are employed to evaluate the effects of the DoS attacks in the studied problems. Adaptations to both control and filtering strategies are discussed based on the hold and zero-input strategies, which are featured in numerical simulations presented to illustrate the control and filter performances.

BANKING MEMBERS:
Interno - 1870927 - WESLEY PERES
Interno - 1418371 - MARCO AURELIO DE OLIVEIRA SCHROEDER