Method for soft-computing supervision of dynamical processes with multiple control objectives
First Claim
1. A method to supervise a local dynamical system having multiple preset control objectives and operating in conjunction with other dynamical systems, the method comprising:
- receiving state input from dynamical systems in an environment at a distributed soft computing level;
generating weights and applying the weights to the preset control objectives using soft computing methods to form weighted control objectives, wherein the weights are generated based on the received state input;
generating a command signal for the local dynamical system based on the weighted control objectives; and
transmitting the command signal to a controller in the local dynamical system.
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Abstract
A method to supervise a local dynamical system having multiple preset control objectives and operating in conjunction with other dynamical systems. The method includes receiving state input from dynamical systems in an environment at a distributed soft computing level, generating weights and applying the weights to the preset control objectives using soft computing methods to form weighted control objectives. The weights are computed based on the received state input. The method also includes generating a command signal for the local dynamical system based on the weighted control objectives and transmitting the command signal to a controller in the local dynamical system.
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Citations
22 Claims
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1. A method to supervise a local dynamical system having multiple preset control objectives and operating in conjunction with other dynamical systems, the method comprising:
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receiving state input from dynamical systems in an environment at a distributed soft computing level;
generating weights and applying the weights to the preset control objectives using soft computing methods to form weighted control objectives, wherein the weights are generated based on the received state input;
generating a command signal for the local dynamical system based on the weighted control objectives; and
transmitting the command signal to a controller in the local dynamical system. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system, the system comprising:
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a local dynamical system at a dynamical system level;
a local intelligence system at a distributed soft computing level in communication with the local dynamical system, wherein the distributed soft computing level is higher than the dynamical system level; and
other dynamical systems at the dynamical system level in communication with respective other intelligence systems at the distributed soft computing level, wherein the local intelligence system generates a command signal for the local dynamical system and the other intelligence systems generate other command signals for the respective other dynamical systems. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer readable medium storing a computer program comprising:
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computer readable code to receive state input from dynamical systems in an environment at a distributed soft computing level;
computer readable code in a soft computing methodology to generate weights and to apply the weights to preset control objectives to form weighted control objectives, wherein the weights are generated based on the received state input;
computer readable code to generate a command signal for the local dynamical system based on the weighted control objectives; and
computer readable code to transmit the command signal from the distributed soft computing level to the local dynamical system. - View Dependent Claims (20)
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21. A local dynamical system, the system comprising:
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means for receiving a state input from other dynamical systems sharing an environment;
means for determining a priority for control objectives of the dynamical system based on the received state input; and
means for receiving a command signal based on the determined priority. - View Dependent Claims (22)
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Specification