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Machinery, 2019
Direct Energy Deposition (DED) processes, available for many years, are not yet widely available or used. Andrew Allcock spoke to Autodesk’s Kelvin Hamilton, senior technical consultant, collaborative research & development projects, about the topic and what needs to change to see DED become more widely applied
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Direct Energy Deposition (DED) processes, available for many years, are not yet widely available or used. Andrew Allcock spoke to Autodesk’s Kelvin Hamilton, senior technical consultant, collaborative research & development projects, about the topic and what needs to change to see DED become more widely applied
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Reinforcement learning method for DEDS supervision
Proceedings of ICNN'95 - International Conference on Neural Networks, 2002In this paper, based on a new way of specifying the system close-loop behavior, we propose a reinforcement learning method for discrete event dynamic system (DEDS) supervision. By means of the concept of subconnection neural networks we develop a new reinforcement learning structure which is adaptive to DEDS supervision, present the close relationship ...
Long Zhao, Zemin Liu
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A Toolbox for Functional and Quantitative Analysis of DEDS
1998We present a toolbox for the combined functional and quantitative analysis of discrete event dynamic systems (DEDS) on the basis of a common model interchange format, the Abstract Petri Net Notation (APNN,[5]). This format covers a fair amount of Petri net like formalisms as well as certain Queueing network concepts. At a lower level the toolbox uses a
Falko Bause +2 more
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Stochastic optimization algorithms for regenerative deds
1994In this paper we are concerned with the application of stochastic programming techniques for the parametric optimization and analysis of Discrete Events Dynamic Systems (DEDSs). In particular, we consider optimization of steady state behavior of DEDSs which sample path depends discontinuosly on control parameters.
Alexei A. Gaivoronski, Enza Messina
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Knowledge-Based Control of DEDS
IFAC Proceedings Volumes, 1996Abstract An alternative approach to the discrete-event dynamic systems (DEDS) control is presented. Petri nets are used to express analytically the DEDS model and to represent knowledge about the control task specifications. Both the DEDS model and the knowledge base are simultaneously used in the procedure of the control system synthesis.
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Automated Solving of the DEDS Control Problems
1999Petri nets (PN) and oriented graphs (OG) are used for modelling of discrete event dynamic systems (DEDS). Model-based analysing the behaviour of the system to be controlled with respect to knowledge about the control task specifications (criteria, constraints, etc.) yields the automated solving of the control synthesis problem.
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DEDS Stochastic Behaviour and Modelling
2013This chapter is devoted to the modelling and simulation process within the domain of discrete-event dynamic systems (DEDS). This chapter provides a foundation for these discussions by exploring a variety of key topics. To a large extent the discussion is dominated by considerations relating to the inherently stochastic nature of the DEDS domain. Within
Louis G. Birta, Gilbert Arbez
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DEDS Simulation Model Development
2007This chapter introduces a number of traditional approaches for the development of simulation models. The simulation model associated with a modelling and simulation project is a computer program that captures the structural and behavioural details of the SUI as specified by the conceptual model.
Louis G. Birta, Gilbert Arbez
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IFAC Proceedings Volumes, 1993
Abstract That Discrete Event Dynamic Systems (DEDS) constitute an important topic of control system study is no longer in question and while examples of DEDS ranging from airports to communication networks to logistics and service systems abound in our daily lives, the fact remains that a relatively small percentage of control system researchers and ...
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Abstract That Discrete Event Dynamic Systems (DEDS) constitute an important topic of control system study is no longer in question and while examples of DEDS ranging from airports to communication networks to logistics and service systems abound in our daily lives, the fact remains that a relatively small percentage of control system researchers and ...
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