Mark R Malhotra

US Patent:

8600561, Dec 3, 2013

Filed:

Sep 30, 2012

Appl. No.:

13/632152

Inventors:

Yoky Matsuoka - Palo Alto CA, US
Mark Malhotra - San Mateo CA, US

Assignee:

Nest Labs, Inc. - Palo Alto CA

International Classification:

G06F 19/00

US Classification:

700276, 236 46 R, 219502

Abstract:

Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.

US Patent:

8630741, Jan 14, 2014

Filed:

Sep 30, 2012

Appl. No.:

13/632070

Inventors:

Evan J. Fisher - Palo Alto CA, US
Mark Malhotra - San Mateo CA, US
Mark D. Stefanski - Palo Alto CA, US
Rangoli Sharan - Sunnyvale CA, US
Frank E. Astier - Mountain View CA, US

Assignee:

Nest Labs, Inc. - Palo Alto CA

International Classification:

G06F 19/00

US Classification:

700276, 700 12, 706 52

Abstract:

The current application is directed to intelligent controllers that use sensor output and electronically stored information, including one or more of electronically stored rules, parameters, and instructions, to determine whether or not one or more types of entities are present within an area, volume, or environment monitored by the intelligent controllers. The intelligent controllers select operational modes and modify control schedules with respect to the presence and absence of the one or more entities. The intelligent controllers employ feedback information to continuously adjust the electronically stored parameters and rules in order to minimize the number of incorrect inferences with respect to the presence or absence of the one or more entities and in order to maximize the efficiency by which various types of systems controlled by the intelligent controllers carry out selected operational modes.

US Patent:

20130274928, Oct 17, 2013

Filed:

Mar 14, 2013

Appl. No.:

13/828767

Inventors:

Mark MALHOTRA - San Mateo CA, US

International Classification:

G05D 23/19

US Classification:

700276

Abstract:

The current application is directed to intelligent controllers that initially aggressively learn, and then continue, in a steady-state mode, to monitor, learn, and modify one or more control schedules that specify a desired operational behavior of a device, machine, system, or organization controlled by the intelligent controller. An intelligent controller generally acquires one or more initial control schedules through schedule-creation and schedule-modification interfaces or by accessing a default control schedule stored locally or remotely in a memory or mass-storage device. The intelligent controller then proceeds to learn, over time, a desired operational behavior for the device, machine, system, or organization controlled by the intelligent controller based on immediate-control inputs, schedule-modification inputs, and previous and current control schedules, encoding the desired operational behavior in one or more control schedules and/or sub-schedules.

US Patent:

8554376, Oct 8, 2013

Filed:

Sep 30, 2012

Appl. No.:

13/632093

Inventors:

Joseph Ruff - San Jose CA, US
Mark Malhotra - San Mateo CA, US

Assignee:

Nest Labs, Inc - Palo Alto CA

International Classification:

G05D 23/00

US Classification:

700276, 236 46 R

Abstract:

The current application is directed to intelligent controllers that continuously, periodically, or intermittently monitor progress towards one or more control goals under one or more constraints in order to achieve control that satisfies potentially conflicting goals. An intelligent controller may alter aspects of control, dynamically, while the control is being carried out, in order to ensure that goals are obtained and a balance is achieved between potentially conflicting goals. The intelligent controller uses various types of information to determine an initial control strategy as well as to dynamically adjust the control strategy as the control is being carried out.

US Patent:

20200318844, Oct 8, 2020

Filed:

Jun 22, 2020

Appl. No.:

16/907922

Inventors:

- Mountain View CA, US
Evan J. Fisher - Palo Alto CA, US
Mark Malhotra - San Mateo CA, US
Mark D. Stefanski - Palo Alto CA, US
Rangoli Sharan - Sunnyvale CA, US
Frank E. Astier - Mountain View CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

F24F 11/62
G06N 20/00
H04Q 9/00
G05D 23/19
G05B 15/02
H04L 12/28
F24F 11/30

Abstract:

A method includes a system that operates according to a control schedule; detects events that indicate occupancy; stores a record of the events that indicate occupancy in one or more memory devices; and enters an auto-away state. A determination to enter the auto-away state may be based at least in part on a length of a time interval during which no events that indicate occupancy were detected and the stored record of the events that indicate occupancy. The system may also detect a pattern of instances where the auto-away state is entered over a plurality of days and adjusts the control schedule based at least in part on the pattern of instances where the auto-away state is entered.

US Patent:

20200300491, Sep 24, 2020

Filed:

Jun 10, 2020

Appl. No.:

16/898063

Inventors:

- Mountain View CA, US
Mark Malhotra - San Mateo CA, US
Allen J. Minich - San Mateo CA, US
Mark D. Stefanski - Palo Alto CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

F24F 11/30
G05D 23/19
F24F 11/62

Abstract:

A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control heating, ventilation, and air conditioning (HVAC) systems. Control during a demand response (DR) event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function.

US Patent:

20200300707, Sep 24, 2020

Filed:

Jun 5, 2020

Appl. No.:

16/894047

Inventors:

- Mountain View CA, US
Mark Rajan Malhotra - San Mateo CA, US
Gwendolyn van der Linden - Redwood City CA, US
Dongeek Shin - Mountain View CA, US
Michael Dixon - Sunnyvale CA, US

International Classification:

G01J 5/00
G08B 13/193
G08B 13/191
G01J 5/02
G01J 5/10

Abstract:

A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.

US Patent:

20200167834, May 28, 2020

Filed:

Dec 28, 2018

Appl. No.:

16/618542

Inventors:

- Mountain View CA, US
Mark Malhotra - San Mateo CA, US
Shwetak Patel - Seattle WA, US
Camille Dredge - Menlo Park CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06Q 30/02
G06Q 30/06
G06N 3/08
H04L 12/28

Abstract:

Described herein are systems and methods for intelligent identification and provisioning of devices and services for a smart home. A user can identify an issue or a question with respect to how to solve a problem within their home. The system can use advanced intelligence to interact with the user to obtain information that can allow the system to identify relevant information for solving the user's problem or answering the user's question by identifying correlated information about the user, such as demographic or behavioral information, and using that information in conjunction with past purchasing information, information specific to the user's home, and the like to generate a recommendation and installation plan for one or more smart home devices for the user. Once implemented, the system can also provide confirmation that the installation was completed properly.