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CONTROL OF COMPLEX MULTIAGENT SYSTEMS

In a recent book chapter, we review the main achivements and challenges in the control of complex network systems. For more details, see

 

We studied evolutionary dynamics on networks and designed a feedback control policy to achieve fast spread:

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We studied different schemes to control complex dynamics, including a case-study on multi-agent systems by means of a game-theoretic mechanism:

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We have developed a theory on adaptive gain control for game-theoretic dynamics:

 

We studied controllability of networked multi-agent systems:

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Determining the positions of a set of networked agents in a distributed manner has become an important problem, as it plays an increasingly important role in multiple applications. We deal with this problem in:

  • Wu J., Zino L, Lin Z., and Rizzo A., Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks. IEEE Transactions on Networking, 2025

  • Wu J., Zino L, Lin Z., and Rizzo A., Simultaneous Robot and Feature Localization via Angle-Based Sensing with Barycentric Coordinate Representation, 2025 (Under Review)

  • Wu J., Feng R., Lin Z., Zino L., and Rizzo A., DBMR-Loc: A Distributed Sensor Localization Framework for Noisy Distance Measurements, 2025 (Under Review)

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