In this paper, a distributed extremum seeking scheme is proposed to find the solution of a
nonmodel-based distributed optimization problem among networked agents. The agents are …

We consider distributed optimization problems of large-scale dynamic systems where the
global cost is the sum of all individual costs of subsystems which are only known to the …

This paper considers a distributed optimization problem under undirected graph. Different
from most of the existing distributed optimization works that consider the optimal solutions to …

The paper is devoted to the study of a class of optimization problems with convex objective
and constraint functions by using extremum seeking methods. Multi-agent systems with …

This manuscript proposes a distributed Newton seeking for the solution of distributed
optimization problems with locally measured but unknown cost functions. The approach …

Many real world applications require multiple conflicting objectives to be optimized.
However, explicit functions map** the system variables to outputs are often unknown …

In this paper, a distributed extremum seeking scheme is proposed to find the solution of a
non-model-based distributed optimization problem among networked agents. The agents …

This paper introduces a sliding-mode-based extremum-seeking algorithm aimed at
generating optimal set-points of wind turbines in wind farms. A distributed extremum-seeking …

The dissertation develops several new schemes and algorithms for solving distributed
optimization problems in large-scale networked systems in which a group of agents are to …

We investigate the problem of distributed source seeking with velocity actuated and force
actuated vehicles by develo** distributed Kiefer-Wolfowitz algorithm. First, based on …