Real-Time Distributed Optimization in Networked Multi-Agent Systems
Abstract
The overarching goal of the project is to establish a systematic on-line use of optimization techniques for real-time applications in networked environments with time-varying stochastic features. Unlike off-line optimization, where one can normally afford computationally intensive methods, an on-line setting requires fast solutions for time-critical decision making, often in response to unpredictable events. This implies the need to frequently re-solve already hard problems, since conditions in the operating environment are constantly changing. The focus of the project has been on multi-agent networked systems and the framework developed rests on three conceptual cornerstones: the event-driven paradigm for optimization, data-driven methodologies for optimization algorithms, and scalable on-line solutions for optimal control problems. The three main objectives are: 1. Develop explicit on-line solutions for dynamic optimization problems in networked systems. 2. Address the question: When is decentralization possible in networked system optimization? and develop distributed algorithms for dynamic optimization in such systems. 3. Address the problem of multiple local minima in network system optimization through efficient ways of escaping such local optima.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 16, 2023
- Accession Number
- AD1230518
Entities
People
- Christos Cassandras