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Pointwise control of dynamical systems using an optimal decision strategy with neural network trajectory learning

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2 Author(s)
Thomas, R.J. ; Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA ; Sakk, E.

Pointwise control algorithms termed optimal decision strategies (ODSs) have proven effective for the control of nonlinear dynamical systems having control variable magnitude constraints. The authors propose a specific neural network structure and, through application of a certain ODS algorithm, show the stabilization of otherwise unstable systems. External decision strategies provide an alternative to potentially difficult function space optimization by controlling the system on a pointwise basis. That is, at each instant of time, a preferred velocity is selected from a set of permissible or achievable velocities. It is the relation of the achievable velocity to the desired velocity that determines the performance of the controlled system. The use of a neural network for providing desired velocity vectors is explored

Published in:

Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on  (Volume:4 )

Date of Conference:

3-6 May 1992

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