Veritone Alpha, Inc.

Vishnu Vettrivel

Wolf Kohn

Michael Luis Sandoval

Jonathan Cross

David Talby

Jason Knox

Mike Lazarus

David Kettler

Brian Schaper

Neel Master

Brandon Weiss

Pengbo Zhang

Techniques are described for implementing automated control systems that manipulate operations of specified target systems, such as by modifying or otherwise manipulating inputs or other control elements of the target system that affect its operation (e.g., affect output of the target system). An automated control system may in some situations have a distributed architecture with multiple decision modules that each controls a portion of a target system and operate in a partially decoupled manner with respect to each other, such as by each decision module operating to synchronize its local solutions and proposed control actions with those of one or more other decision modules, in order to determine a consensus with those other decision modules. Such inter-module synchronizations may occur repeatedly to determine one or more control actions for each decision module at a particular time, as well as to be repeated over multiple times for ongoing control.

Determining control actions of decision modules

Techniques are described for implementing automated control systems that manipulate operations of specified target systems, such as by modifying or otherwise manipulating inputs or other control elements of the target system that affect its operation (e.g., affect output of the target system). An automated control system may in some situations have a distributed architecture with multiple decision modules that each controls a portion of a target system, and may further have one or more components that interacts with one or more users to obtain a description of the target system, including restrictions related to the various elements of the target system, and one or more goals to be achieved during control of the target system. The component(s) then perform various automated actions to generate, test and deploy one or more executable decision modules to use in performing the control of the target system based on the user-specified information.

Cooperative distributed control of target systems

Techniques are described for implementing automated control systems to control operations of specified physical target systems, such as with one or more batteries used to store and provide electrical power. Characteristics of each battery's state may be used to perform automated control of DC power from the battery, such as in a real-time manner and to optimize long-term operation of the battery. In some situations, multiple batteries are controlled by using multiple control systems each associated with one of the batteries, and with overall control being coordinated in a distributed manner using interactions between the multiple control systems. A system that includes one or more batteries to be controlled may further include additional components in some situations, such as one or more electrical sources and/or one or more electrical loads, with one non-exclusive example of a type of such system being one or more home electrical power systems.

Using battery DC characteristics to control power output

Managing construction of decision modules to control target systems

Managing coordinated control by multiple decision modules

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Bothell, WA, United States of America

Vishnu Vettrivel