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Network Centric Control Systems

The mission of this group is to contribute to the advancement of the state-of-the-art in concepts, methods and tools for network centric control systems, with emphasis on two large classes of applications: networked vehicles and devices, and networked enterprises.

Team
• Dmitry Karamzin • Hugo Alexandre Almeida Fereira
• Eduardo Alexandre Pereira da Silva • Jorge Manuel Estrela da Silva
• Fernando Manuel Ferreira Lobo Pereira • José Carlos de Queirós Pinto
• Gil Manuel Magalhaes de Andrade Goncalves • José Miguel Soares de Almeida
• João Tasso Figueiredo Borges de Sousa • Luís António Dias Madureira
• José António Rodrigues Pereira de Faria • Paulo Alexandre de Sousa Dias
• Mário Jorge Rodrigues de Sousa • Paulo Jorge Ferreira Lebres
• Paulo José Lopes Machado Portugal • Paulo Manuel de Jesus Madaleno Lopes
• Pedro Alexandre Guimaraes L. Ferreira Souto • Pedro Miguel Duarte Pinto de Almeida
• Alexandre Jorge Arada Sousa • Ricardo André da Silva Martins
• Alfredo Manuel de Oliveira Martins • Rui Jorge Pereira Gonçalves
• Ana Cristina Teixeira Pinto • Rui Manuel Ferreira Gomes
• Bruno Miguel Marques Terra • Sérgio Loureiro Fraga
• Eduardo Resende Brandáo Marques  
Objectives
 
1. Advanced control and optimization concepts and methods for networked systems

Definition of a formal conceptual framework for the control design of HDCS - Hybrid Dynamic Control Systems - which have been considered to model networks of sensors, formations of satellites, systems of networked unmanned vehicles, automated highway systems, chemistry production systems, etc. The following issues will be addressed:
• Characterization of compositional properties of Impulsive Systems to model HDCS.
• Derivation of maximum principles and sufficient conditions of optimality of the generalized Hamilton-Jacobi type for control synthesis.
• Design of optimal control algorithms for impulsive control and their application to reachable set estimation.

2. Networked Vehicles and Systems

Development of formal frameworks for the design and deployment of networked vehicles and sensor systems. This effort encompasses: • Framework for the coordinated operation of multiple interacting vehicles and systems.
• Models for the coordinated operation of multi-vehicles, teams of vehicles, and systems.
• Control, navigation and sensing strategies for teams of vehicles.

3. Underwater Systems and Technologies

Design and build systems involving autonomous or remotely operated vehicles with the goal of deploying networked vehicle systems. This effort is focused on challenge problems in applications with strong societal and scientific impact, such as oceanographic surveys, environmental surveillance and climate change studies, and involves heterogeneous unmanned, autonomous, underwater, surface and air vehicles, sensors and other devices. The following issues will be addressed:
• Command and control architectures for networked vehicles and devices featuring mixed initiative capabilities.
• Adaptive sampling and sensor based control strategies for multiple vehicles.
• Coordinated path planning and maneuver design.
• Operational deployments for testing and sea trials.

4. Enterprise Engineering

Development a formal framework for the systematic design and analysis of industrial and services enterprises operating in networked business environments. This effort will be rooted on several challenges and experiences drawn from the automotive, aeronautic, and higher education industries. The following issues will be addressed:
• Cooperative Engineering - development of a framework for inter-organizational models for the design and development of products and of their manufacturing systems by a network of companies targeted exclusively for that purpose.
• Patterns for organizational engineering - development of a unified theory and praxis for the analysis and development of organizational management processes and systems. Process modelling and documentation methods and tools, and project management methods and tools are addressed.

5. Real-time and dependable computing and communication services

Design and validation of real-time and dependable middleware and communications services. The goal is to facilitate the development of networked control applications, by making their QoS requirements (dependability, timeliness, etc.) configuration parameters of the underlying layers.