Robust Control Strategies applied to networked control systems (NCS) and cyber-physical systems (CPS)

• Grant number: 24/18183-9
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2025
• End date: February 29, 2028
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Cecília de Freitas Morais
• Grantee: Cecília de Freitas Morais
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated researchers: Jonathan Matias Palma Olate

Abstract

The most recent advances in control applications prioritize the employment of wireless communication networks to ensure more flexibility in process automation. Some concepts related to this new paradigm include digital communication networked control systems (NCS), wireless sensor networks (WSN), and cyber-physical systems (CPS) which consist of the integration of computational, communication and control elements through physical processes forming a unified system. Despite being attractive, the widespread use of these technologies is accompanied by some disadvantages such as the possibility of packet losses, operation with time-varying sampling rates, communication delays and vulnerability to cyber attacks. The first step to overcoming such challenges is to properly model the stochastic behavior and parametric variations that affect the dynamics of NCS and CPS, as enabled by a class known as non-homogeneous Markov Jump Linear Systems (MJLS). Regarding the previously described scenario, this project aims to develop: i) stability analysis conditions and synthesis conditions of controllers and filters that are resilient to Denial of Service (DoS) attacks and other problems inherent to the use of semi-reliable networks; ii) control, filtering and reference tracking synthesis techniques that satisfy precision medicine requirements in order to be applied in medical cyber-physical systems (MCPS) to optimize drug absorption; iii) strategies to promote resource savings and increase energy efficiency in NCS; iv) design methods for non-minimum order controllers and filters (with memory) for non-homogeneous MJLS aiming to improve performance. (AU)