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    METHOD OF PERFORMING A PROCESS AND OPTIMIZING CONTROL SIGNALS USED IN THE PROCESS
    13.
    发明申请
    METHOD OF PERFORMING A PROCESS AND OPTIMIZING CONTROL SIGNALS USED IN THE PROCESS 有权

    公开(公告)号：US20220155733A1

    公开(公告)日：2022-05-19

    申请号：US17433069

    申请日：2019-09-11

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson

    IPC: G05B13/04

    Abstract: A method of performing a process using a plurality of control signals and resulting in a plurality of measurable outcomes is described. The method includes optimizing the plurality of control signals by at least: receiving a plurality of process constraints; receiving, for each measurable outcome, an optimum range; receiving, for each control signal, a plurality of potential optimum values; iteratively performing the process, where for each process iteration, the value of each control signal is selected from among the plurality of potential optimum values received for the control signal; for each process iteration, measuring each outcome in the plurality of measurable outcomes; and generating confidence intervals for the control signals to determine a causal relationship between the control signals and the measurable outcomes. The method includes performing the process using at least the control signals determined by the causal relationship to causally affect at least one of the measurable outcomes.

    TUNING PID PARAMETERS USING CAUSAL MODELS
    14.
    发明申请
    TUNING PID PARAMETERS USING CAUSAL MODELS 有权

    公开(公告)号：US20220137565A1

    公开(公告)日：2022-05-05

    申请号：US17431792

    申请日：2019-10-03

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson ,  Catherine A. Leatherdale ,  Don V. West

    IPC: G05B6/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing parameters of one or more proportional-integral-derivative (PID) controllers. In one aspect, the method comprises repeatedly performing the following: i) selecting a configuration of respective PID parameters for each of the plurality of PID controllers, based on a causal model that measures causal relationships between PID parameters and a measure of success in controlling the system; ii) determining the measure of success of the configuration of respective PID parameters for the plurality of PID controllers in controlling the system; and iii) adjusting, based on the measure of success of the configuration of respective PID parameters for the plurality of PID controllers in controlling the system, the causal model.

    DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS
    17.
    发明申请
    DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS 有权

    公开(公告)号：US20220187774A1

    公开(公告)日：2022-06-16

    申请号：US17438096

    申请日：2019-09-11

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson

    IPC: G05B13/04 ,  G05B13/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes obtaining data specifying baseline probability distributions for each of a plurality of controllable elements; maintaining a causal model; repeatedly performing the following: selecting control settings for the environment based on the causal model and values for a particular internal parameter of the control system that are sampled from a range of possible values; selecting control settings for the environment based on the baseline probability distributions; monitoring environment responses to the control settings selected based on the causal model and the control settings selected based on the baseline probability distributions; determining, for each of the possible values, a measure of a difference between a current system performance and a baseline system performance; and updating how frequently each of the possible values is sampled.

    METHOD OF OPTIMIZING CONTROL SIGNALS USED IN OPERATING VEHICLE
    18.
    发明申请
    METHOD OF OPTIMIZING CONTROL SIGNALS USED IN OPERATING VEHICLE 有权

    公开(公告)号：US20220176968A1

    公开(公告)日：2022-06-09

    申请号：US17436751

    申请日：2019-09-11

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson ,  Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson ,  John A. Wheatley

    IPC: B60W40/064 ,  B60W40/08 ,  B60W40/105 ,  G05B13/02

    Abstract: A method of optimizing a plurality of control signals used in operating a vehicle is described. The operation has a plurality of associated measurable parameters. The method includes: for each control signal, selecting a plurality of potential optimum values from a predetermined set; operating the vehicle in at least a first sequence of operation iterations, where for each pair of sequential first and second operation iterations in the first sequence of operation iterations, the potential optimum value of one control signal in the first operation iteration is replaced in the second operation iteration with a next potential optimum value of the control signal, while the potential optimum values of the remaining control signals are maintained; for each operation iteration, measuring each parameter in the plurality of measurable parameters; and generating confidence intervals for the control signals to determine causal relationships between the control signals and the measurable parameters.

    DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS
    19.
    发明申请
    DETERMINING CAUSAL MODELS FOR CONTROLLING ENVIRONMENTS 有权

    公开(公告)号：US20220146995A1

    公开(公告)日：2022-05-12

    申请号：US17439105

    申请日：2019-09-11

    Applicant: 3M INNOVATIVE PROPERTIES COMPANY

    Inventor： Himanshu Nayar ,  Frederick J. Arsenault ,  Nicholas A. Johnson ,  Brian E. Brooks ,  Gilles J. Benoit ,  Peter O. Olson ,  Tyler W. Olson

    IPC: G05B13/04 ,  G05B13/02 ,  G06N7/00

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining causal models for controlling environments. One of the methods includes identifying a procedural instance; selecting control settings for the procedural instance, comprising, for a particular one of the controllable elements: assigning the procedural instance to a cluster for the particular controllable element in accordance with current values of a set of clustering parameters for the particular controllable element; and selecting a setting for the particular controllable element for the procedural instances based on a causal model that is specific to the cluster; obtaining environment responses to the selected control settings that define a value of the performance metric for the procedural instance; and updating, for the particular controllable element, the causal model for the cluster for the controllable element to which the procedural instance was assigned based on the value of the performance metric.

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