Distributed optimization, game and learning algorithms : theory and applications in smart grid systems / Huiwei Wang, Huaqing Li, Bo Zhou.

This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization, -and also many other issues like time-varying topology, communication delay, equality or inequality constraints, -and random projections. This book is meant f...

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Bibliographic Details
Main Author: Wang, Huiwei (Professor of computer science) (Author)
Other Authors: Li, Huaqing (Professor of computer science), Zhou, Bo (Professor of mathematics)
Format: eBook
Language:English
Published: Singapore : Springer, 2021.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Cooperative Distributed Optimization in Multiagent Networks with Delays
  • Constrained Consensus of Multi-Agent Systems with Time-Varying Topology
  • Distributed Optimization under Inequality Constraints and Random Projections
  • Accelerated Distributed Optimization over Digraphs with Stochastic Matrices
  • Linear Convergence for Constrained Optimization over Time-Varying Digraphs
  • Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs
  • Reinforcement Learning in Energy Trading Game Among Smart Microgrids
  • Reinforcement Learning for Constrained Games with Incomplete Information
  • Reinforcement Learning for PHEV Route Choice based on Congestion Game.