Self-optimizing method and machine
OwnerChou H. Liinventor
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OwnerChou H. Liinventor
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The invention relates to method for self-optimizing, with closed-loop feed-back control but without human interaction, an object relative to a specific criterion or activity during the operation of said object and in response to variations on a prescribed number m of variables, comprising: planning without human control, guidance, supervision, and intervention a statistical design matrix for testing said m variables in n tests; according to the design matrix performing said n designed tests on said very object in actual operation; determining the instantaneous combination of said m variables which optimizes said specific criterion or activity during said actual operation; setting the conditions of said m variables at the thus-determined optimal combination before the combination significantly changes; and feeding back information on the status of optimization to achieve closed-loop feed-back control. The back-feeding step may be substantially continuous to achieve substantially continuous self-optimizing operation of the object. A machine in the form of programmed microprocessor embodying this close-looped self-optimizing method is also disclosed.
A machine for real-time self-optimizing, without human interaction, an object relative to a specific criterion or activity in response to variations on a prescribed number m of variabes, comprising:
A method for self-optimizing, without human interaction, an object relative to a specific criterion or activity during the operation of said object and in response to variations on a prescribed number m of variables, comprising:
A method for substantially continuously real-time self-optimizing, without human interaction, a machine relative to a specific performance during the operation of said machine and in response to variations on a prescribed number m of variables, comprising:
Dependencies are inferred from the claim text.