A continuous-time algorithm based on multi-agent system for distributed least absolute deviation subject to hybrid constraints.
Qingshan LiuKaixuan LiPublished in: IECON (2017)
Keyphrases
- multi agent systems
- learning algorithm
- objective function
- cooperative
- dynamic programming
- experimental evaluation
- worst case
- detection algorithm
- optimization algorithm
- computational complexity
- preprocessing
- multiple constraints
- neural network
- constrained optimization
- geometric constraints
- times faster
- probabilistic model
- computational cost
- cost function
- linear programming
- markov chain
- distributed systems
- tree structure
- matching algorithm
- multi agent
- similarity measure