Wolf Kohn, PhD

This presentation will focus on an overview of a new approach to the design and implementation of distributed intelligent control, in which the dynamic knowledge about the system dynamics, criterion and sensor information is mapped into a network of controllers, called Control Agents, that collaborate to implement a desired behavior. Each of the agent’s behavior is encoded in a specialized function called Constrained Data Hamiltonian. A Constrained Data Hamiltonian shares some of the properties with classic Hamiltonian functions in mechanics, but it is especially formulated to operate in multiple domains of applications. This presentation will overview several application domains. In Cooperative Distributed Inferencing (CDI), the network of agents is dynamically synchronized using a Mean Field approach based on a cooperative game strategy among the agents.

The presentation will be organized as follows:

1. Basic overview of CDI formulation, including some of its formal aspects.

2. CDI implementation architecture.

3. Selected applications overviews: Microgrid Control and Management (TECO), Intelligent Inventory and assortment planning (Microsoft Dynamics), Intelligent Block Chain Dynamic Concurrency (CrowdPoint Technology).

A fourth application overview, Manufacturing of Nano Semiconductor Circuits, will be included if time permits. The presentation will conclude with a list of research and development issues in CDI and applications.