Control, Communication,Cooperation (C3)

1. Data-driven analysis, optimization, and control of complex networks

• Distributed data-driven analysis and control: how to use data to analyze and control complex networks? 

  • distributed learning of mode shapes in power system model [C28]

  • data-driven distributed estimation of eigenvalues and eigenvectors of interconnected system [C30, C32]

  • real-time data driven electromechanical oscillation monitoring [C37, J18]

• Safe data-driven control: how to design real-time control with a safety certificate using data? 

  • LiDAR-based safe navigation of mobile robot in unknown environments [J21]

2. Topology design and manipulation of complex networks

• Distributed control design for large-scale interconnected systems: how to use the additional degree of freedom offered by the communication network?

  • joint distributed controller gain-communication topology design [J4, C5, C6, C10, C11]

  • explicit solution of communication topology design [J4, C13, C14]

  • distributed optimal output feedback control design [C27]

  • control framework for cyber-physical-human systems [B3]

       Check this out: Matlab Toolbox for Interconnected Dynamical Systems

• Analysis and control of large-scale networks: how to analyze and manipulate the network from local piece of information?

  • revealing the role of communication link [C16]

  • analysis of network robustness [C16]

  • distributed manipulation strategy of network topology [J11, J16, C19, C31]

  • distributed topology design for achieving trade-off between performance and security [C23]

  • distributed estimation of spectrum of irreducible matrices [J9]

  • angular stability analysis for power system with large-scale and distributed PV generations [C34]

  • distributed algorithms for checking and ensuring strong connectivity of a digraph [J17, C35, C43]

3. Resilient control and optimization of cyber-physical systems

• Design of Resilient cooperative systems: how to make the systems robust againsts cyber attacks?

  • robustification of cooperative systems against attacks [C17, J10, C33, J13, J14, B5]

  • resilient dynamic average-consensus [J15]

  • game theoretical designs [C21]

  • a unified framework for resilient control and attack identification [C36]

  • resilient distributed optimization  [C41, J22]

• Resilient and privacy-preserving cooperative control: is it possible to ensure both resiliency and privacy-preserving?

  • towards a unified framework for achieving resiliency and preserving privacy of cooperative systems [C42, J19, J20]

• Power systems security and resilience

  • topology switching based restorative method [C24, C25]

  • smart grid security [B1, B2, B4]

  • Resilient cooperative voltage control [C29]

4. Cooperative control: theory and applications

• Coordination of multi-robot systems: how to efficiently design cooperative control to ensure safety and perform the tasks successfully?

  •  communication efficient formation maintenance with a safety certificate [C38]

  • formation control under input constraint  [C40]

• Scheduling and control of electric vehicles' charging: how to optimize the use of EV's charger and minimize the consumers' waiting time?

  • scheduling of EVs' charging at highway service stations [J8, C20]

  • (in)stability analysis of cooperative systems with time delay [C26]

  • scheduling of electric buses' charging [J7]

• Cooperative control design for smart power grid: how to make the grid robust against uncertainty?

  • distributed control design under topology uncertainty [C15]

• Distributed coverage control for mobile sensor networks: how to design an efficient distributed algorithm to improve the performance of the network?

  • performance-guaranteed distributed coverage control [C9, C12, J3, J5]

  • coverage control with anisotropic sensors [J1, C2, C3, C4, C8]

  • dynamic coverage control [C1]

  • persistent monitoring of a large area using a robotic sensor network [C39, J23]

  • multi-robot task allocation [C44]

• Cooperative control of human-robot teams: how to design controller for the robot, inspired by the human behavior?

  • modeling human-human coordination in a joint action [J2, D5, D6, D7]

  • combining human cognitive ability and robotics [C7]

  • constrained robotic motion in deformable environments [J6, C18, C21]

"Research is what I'm doing when I don't know what I'm doing." (Wernher Von Braun)