Trust-Based Collaborative Control for Teams on Communication Networks
Abstract
Grant objectives are to develop new cooperative control protocols and trust propagation mechanisms for networked teams of nonlinear dynamical systems on communication graphs. We developed a body of knowledge for optimal control and adaptive control on graphs that yields guaranteed performance regardless of communication topology constraints. This year we developed novel adaptive control algorithms for solving optimal control and multi-player team games online in real time. We developed the new concept of Dynamic Graphical Games. These are games for cooperative teams networked on communication graph topologies where the standard definition of Nash equilibrium is of limited use. In military transitions, we worked with D. Doman at WPAFB Control systems Center of Excellence where 3 of our US students have been awarded summer fellowships. We worked with Greg Hudas at US Army TARDEC to develop trust and consensus methods for distributed military teams. In industry dual-use tech transfer, we worked with Singapore Manufacturing Technology Institute in industrial machine tool fault diagnosis. This year we received 3 Best Paper Awards and published 3 books, including Optimal Control 3ed, and 11 journal papers. A patent was submitted.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 11, 2012
- Accession Number
- ADA565194
Entities
People
- Frank L. Lewis
Organizations
- University of Texas at Arlington