A hierarchical control structure for multimedia access networks

In order to make reconstruction of re-configurable manufacturing system (RCMS) more efficient and fast, a new design method for control structure and system layout is put forward. First, a holon control structure, such as centralized-control, hierarchical control, non-strictly hierarchical control, and distributed control, is introduced. Each function module of the control structure not only has relative independent character and also cooperation with other control structure. It may constitute the required structural according to the market demand at any time to realize re-configurable control goals. At last, the key technology and the implementation method involved in layout design of equipment and system layer are discussed.

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Research on Acquaintance Coalition Based Integrated Fire Control

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.235.141 ◽

2012 ◽

Vol 235 ◽

pp. 141-146

Author(s):

Ya Ting Dai ◽

Lu Jing Yang ◽

Ying Lv ◽

Rui Li

Keyword(s):

Control Structure ◽

Hierarchical Control ◽

Dynamic Environment ◽

System Structure ◽

Multi Agent System ◽

Fire Control ◽

Contract Net Protocol ◽

Agent System ◽

Contract Net ◽

Multi Agent

This paper analyzes the characteristics of Integrated Fire Control, one of the combat models of the Network-Centric war, and presents the hierarchical control structure of different combat units according to their corresponding functions. The Multi-Agent System structure is also presented, and different Agent models are established according to roles they play in the system. This paper adopts the acquaintance coalition theory and the Contract Net Protocol to realize the negotiation among different hierarchical Agents. The acquaintance coalition has the advantage of reducing the range of bids and costs of communications. The Contract Net Protocol is employed in the three-layer Multi-Agent System, and is an effective negotiation to allocate the missile intercept tasks in real-time and dynamic environment.

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Task-Level Learning from Demonstration and Generation of Action Examples for Hierarchical Control Structure

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.565.194 ◽

2014 ◽

Vol 565 ◽

pp. 194-197

Author(s):

Anna Gorbenko

Keyword(s):

Polynomial Time ◽

Control Structure ◽

Hierarchical Control ◽

Polynomial Time Algorithm ◽

Time Algorithm ◽

Robot Learning ◽

Experimental Results ◽

Learning From Demonstration ◽

Selection Of ◽

Task Level

We consider the problem of the task-level robot learning from demonstration. In particular, we consider a model that uses the hierarchical control structure. For this model, we propose the problem of selection of action examples. We present a polynomial time algorithm for solution of this problem. Also, we consider some experimental results for task-level learning from demonstration.

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