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- W1982676614 abstract "The problem of steering the state of nonlinearly perturbed linear systems by learning is investigated. A family of algorithms which compute the steering control by means of successive trials on the real plant is presented. Convergence in the face of a class of nonlinear plant perturbations is proven. State feedback linearizable systems are shown to be addressable by the presented algorithms. Two examples illustrate the applicability of algorithms." @default.
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- W1982676614 date "1994-09-01" @default.
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- W1982676614 title "State steering by learning for a class of nonlinear control systems" @default.
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- W1982676614 doi "https://doi.org/10.1016/0005-1098(94)90012-4" @default.
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