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A virtual environment for evolutionary autonomous optimization of real time stochastic control design

: Silva, A.C. da


Institute of Electrical and Electronics Engineers -IEEE-:
Information, decision and control. CD-ROM : Adelaide, Australia, 11 - 13 February 2002, proceedings, IDC 02
Piscataway: IEEE Operations Center, 2001
ISBN: 0-7803-7271-9
IDC <2002, Adelaide>
Data and Information Fusion Symposium <3, 2002, Adelaide>
Signal Processing and Communications Symposium <2, 2002, Adelaide>
Decision and Control Symposium <2, 2002, Adelaide>
Conference Paper
Fraunhofer IGD ()
virtual environment; evolutionary autonomous optimization; real time stochastic control design; industrial process visualization; control parameter; adaptive control model; evolutionary computing; animation

The work leads with three dimensional environments for industrial processes visualization and the study of control parameters for the optimisation of real time systems simulation with evolutionary approach. The initial motivation behind the development of adaptive control models was the need to account for uncertainty in the parameters and structure of physical systems. When such a system to be controlled should be simulated by a computer with some stochastic model, then it is suitable to use evolutionary computing to determine automatically the role of each parameter on the system performance, what can lead to an advantage in the optimisation of some proposed automation model under study. Concurrently the use of virtual environments with the visualization of the model's performance in a three dimensional perspective could open the possibility for the user to taste some kind of immersion as close as possible into the reality of the system in simulation.