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The field of networked controlled systems (NCS) refers to feedback systems controlled over networks. These systems result from the arrival of new control problems posed by the consideration of several factors, such as new technological components (e.g., wireless, RF, communications, local networks, etc.), increase of systems complexity (i.e., increase in vehicle components), the distributed location of sensors and actuators, and computations constraints imposed by their embedded nature. In this systems class, the way that the information is transferred and processed (information constraints), and the manner in which the computation resources are used (resources management), have a substantial impact in the resulting stability and performances properties of the feedback controlled systems; inversely, a certain control law may be affected by the properties of the channel transmission (latency, delay jitter, signal quantification, loss of data, etc.) and the way that the computational resources are distributed.

Complexity and energy are additional dimension that covers the 3Cs field, and it concerns about the topology (interaction) of the network connections, and the use of energy resources under some kind of communications and/or computation constraints.

Research topics

Communication and control co-design for networked systems

  • Energy-aware communication and control co-design in wireless networked control systems
  • System-theoretic analysis of modern error correcting codes

Transportation networks and vehicular systems

  • Traffic estimation and prediction
  • Traffic control
  • Vehicle control for disabled people
  • Control of communicating vehicles in urban environment

Collaborative and distributed control in networked systems

  • Consensus of heterogeneous multi-agent systems
  • Collaborative source seeking control
  • Distributed real-time simulation of numerical models

Distributed estimation and data fusion in networked systems

  • Distributed joint state and input estimation
  • Data fusion approaches for motion capture by inertial and magnetic sensors
  • Quadratic indices for performance evaluation of consensus algorithms

Networked systems and graph analysis

  • Observability in consensus networks
  • Distributed graph discovery
  • Finite-time average consensus protocols

All these topics are detailed in the activity reports