learning

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Visible to the public Efficient Control Synthesis and Learning in Distributed Cyber-Physical Systems

Submitted by Herbert Tanner on Mon, 11/10/2014 - 2:49pm. Contributors:

Abstract:

Scientific challenges: How can multiple cooperative cyber-physical systems communicate and coordinate to accomplish complex high-level tasks within unknown, dynamic and adversarial environments?

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Visible to the public Event-Based Information Acquisition, Learning, and Control in High-Dimensional Cyber-Physical Systems

Submitted by Andrea Goldsmith on Mon, 11/10/2014 - 1:44pm. Contributors:

Abstract:

The objective of this project is to develop a theoretical framework for stochastic learning, decision-making, and control in high-dimensional cyber-physical systems. In our general framework, decision makers dynamically refine their estimates of the time-varying physical system based on acquired information, which may be obtained by distributed sensors.

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Visible to the public Methodologies for Engineering with Plug-and-Learn Components: Synthesis and Analysis Across Abstraction Layers

Submitted by John Gallagher on Mon, 11/10/2014 - 1:43pm. Contributors:

Abstract:

CyberPhysical Systems (CPS) that self-modify to improve performance or repair damage often rewrite the modular relationships that make system modeling or Verification and Validation (V&V) possible. In this project, we are exploring methods to create self- modifying CPS systems that, in addition to self-improving or self-repairing, are also capable of maintaining system models that support the use of V&V techniques.