Method, system, and computer program product for autonomous control of dynamical systems

A method, comprising:

• receiving data associated with a host platform;
• constructing a run-time dynamic envelope based on the data associated with the host platform, wherein constructing the run-time dynamic envelope comprises:
• constructing an initialization dynamic envelope based on a set of actuator commands of the host platform, a response of the host platform to each actuator command of the set of actuator commands of the host platform, and a predetermined response in perception of the host platform to a dynamic action associated with an entity, wherein the initialization dynamic envelope comprises a machine learning model associated with a predicted transformation of perception, wherein the machine learning model associated with a predicted transformation of perception provides an output that comprises the predetermined response in perception of the host platform to a dynamic action associated with the entity, wherein the output is associated with a predicted transformation of perception at all positions of the host platform relative to a first position of the host platform after executing an actuator command, wherein the predicted transformation of perception is based on a notional entity as a reference point that is perceived by the host platform in a field of view of the host platform;
• determining data associated with a state of the host platform based on the data associated with the host platform;
• constructing an idealized dynamic envelope based on the initialization dynamic envelope, the data associated with a state of the host platform, and data associated with a perception envelope;
• and
• constructing the run-time dynamic envelope based on the idealized dynamic envelope;
• and
• constructing a Worldview Relational Interaction Map (WRIM) based on the run-time dynamic envelope, wherein the WRIM comprises a coordinate system corresponding to an area of an environment of the host platform, wherein the coordinate system comprises a plurality of elements, and wherein each element of the plurality of elements comprises:
• one or more data attributes associated with a predicted momentum exchange resulting from the host platform co-occupying the element with the entity.

A computer program product comprising at least one non-transitory computer-readable medium including one or more instructions that, when executed by at least one hardware processor, cause the at least one hardware processor to:

• receive data associated with a host platform;
• construct a run-time dynamic envelope based on the data associated with the host platform, wherein the one or more instructions that cause the at least one hardware processor to construct the run-time dynamic envelope cause the at least one hardware processor to:
• construct an initialization dynamic envelope based on a set of actuator commands of the host platform, a response of the host platform to each actuator command of the set of actuator commands of the host platform, and a predetermined response in perception of the host platform to a dynamic action associated with an entity, wherein the initialization dynamic envelope comprises a machine learning model associated with a predicted transformation of perception, wherein the machine learning model associated with a predicted transformation of perception provides an output that comprises the predetermined response in perception of the host platform to a dynamic action associated with the entity, wherein the output is associated with a predicted transformation of perception at all positions of the host platform relative to a first position of the host platform after executing an actuator command, wherein the predicted transformation of perception is based on a notional entity as a reference point that is perceived by the host platform in a field of view of the host platform;
• determine data associated with a state of the host platform based on the data associated with the host platform;
• construct an idealized dynamic envelope based on the initialization dynamic envelope, the data associated with a state of the host platform, and data associated with a perception envelope;
• construct the run-time dynamic envelope based on the idealized dynamic envelope;
• and
• construct a Worldview Relational Interaction Map (WRIM) based on the run-time dynamic envelope, wherein the WRIM comprises a coordinate system corresponding to an area of an environment of the host platform, wherein the coordinate system comprises a plurality of elements, and wherein each element of the plurality of elements comprises:
• one or more data attributes associated with a predicted momentum exchange resulting from the host platform co-occupying the element with the entity.