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Neural modeling and control of a heat exchanger based on SPSA techniques

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3 Author(s)
Renotte, C. ; Lab. d''Autom., Faculte Polytech. de Mons, Belgium ; Vande Wouwer, A. ; Remy, M.

The aim of the paper is twofold: first, we consider a variation of the first-order simultaneous perturbation stochastic approximation (SPSA) algorithm developed by Spall (1992, 1998) which makes use of several numerical artifices, including adaptive gain sequences, gradient smoothing and a step rejection procedure, to enhance convergence and stability. Second, we present numerical studies on a non-trivial test-example, i.e., the water cooling of sulfuric acid in a two-tank system. This numerical evaluation includes the development of a neural model as well as the design of a model-based predictive neural PID controller

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American Control Conference, 2000. Proceedings of the 2000  (Volume:5 )

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