Brief paper: A two-level costate prediction algorithm for non-linear systems

Authors:
Mohammed F. Hassan;Madan Singh
Affiliations:
LAAS, 7 Ave du Colonel Roche, 31400 Toulouse, France;-
Venue:
Automatica (Journal of IFAC)
Year:
1977

Citing 3
Cited 5

Brief paper: Optimal control of nonlinear power systems by an imbedding method

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Correspondence item: A two level prediction algorithm for non-linear systems

Automatica (Journal of IFAC)
Brief paper: The optimization of non-linear systems using a new two level method

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Correspondence item: Hierarchical optimisation for non-linear dynamical systems with non-separable cost functions

Automatica (Journal of IFAC)
Comments on: “Optimisation of non-linear systems using a new two level method”

Automatica (Journal of IFAC)
Brief paper: A three level costate prediction method for continuous dynamical systems

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Brief paper: Maximum a posteriori parameter estimation in large-scale systems

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A hierarchical optimization neural network for large-scale dynamic systems

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Abstract

A two level costate prediction algorithm is developed for the optimisation of non-linear discrete dynamical systems. The algorithm is proved to converge under fairly mild conditions. The algorithm appears to require substantially smaller computation time and storage than previous two level algorithms. The method is illustrated on a practical problem of optimisation of turbogenerator transient performance.