A Distributed Online Multi-Agent Planning System
نویسندگان
چکیده
The gap between planning and execution is still an open problem that, despite several tries from members of both automated planning and autonomous agents communities, remains without a proper general-purpose solution. We aim to tackle this problem by using a framework for the development of multi-agent systems in both the decentralised multi-agent planning stages, and the execution stages, providing a multi-agent system with capabilities to solve online multi-agent planning
منابع مشابه
An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources
This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...
متن کاملDistributed multi-agent Load Frequency Control for a Large-scale Power System Optimized by Grey Wolf Optimizer
This paper aims to design an optimal distributed multi-agent controller for load frequency control and optimal power flow purposes. The controller parameters are optimized using Grey Wolf Optimization (GWO) algorithm. The designed optimal distributed controller is employed for load frequency control in the IEEE 30-bus test system with six generators. The controller of each generator is consider...
متن کاملAdaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems
This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...
متن کاملRigid Formation Keeping and Formation Reconfiguration of Multi-Agent Systems
A motion planning algorithm is presented for formation control of coordinating multi agents engaged in rigid formation keeping and formation reconfiguration. The multi agent system is separated into geometrically equivalent subsystems for distributed control. The proposed motion planning algorithm generates reference trajectories for each of these subsystems in real-time for online, distributed...
متن کاملOptimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics
In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...
متن کامل