Patent ID: 6993397

Claim:
A dynamic system for developing and using real time applications utilizing stochastic compute time algorithms in the form of constrained optimization techniques under feedback control, the system comprising: a sensing subsystem having a plurality of detectors for receiving detector data; a control subsystem comprising: at least one system state module for inferring an actual system state from said detector data, wherein said actual system state is expressed in constraints, inferring a desired system state from said desired state and constraints, generating a statistical description of the dynamic system utilizing the difference between said actual system state and said desired system state, and providing feedback control comprising updating said statistical description with a next set of detector data; at least one state action module for developing a desired control strategy based on said statistical description, comprising utilizing constraint optimization techniques determining at least one control signal to issue for said desired control strategy, wherein developing a desired control strategy comprises selecting at least one member from the group consisting of determining a maximum bound of errors from a probability distribution of solution errors, using the entire statistical distribution of the error as a measurement noise or disturbance to be rejected, and using said statistical description in a Monte Carlo method; and at least one execution module for executing said control signals in a real time application; communication means for transmitting output information from said plurality of detectors to said control subsystem; at least one application module; an actuation subsystem having a plurality of actuators; and communication means for transmitting execution instructions from said execution module to said plurality of actuators.