Patents by Inventor Ion Matei

Ion Matei has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220253578
    Abstract: A nonlimiting example method for converting implicit dynamic models into explicit dynamic models comprises: performing a block lower triangular (BLT) transformation on equations of an implicit dynamic differential algebraic equation (DAE) model to yield a BLT representation of the implicit dynamic DAE model; performing a nonlinear block extraction for a diagonal of the BLT representation of the implicit dynamic DAE model to yield one or more nonlinear blocks and one or more linear blocks; constructing a surrogate causal model for each of the one or more nonlinear blocks; training the surrogate causal model for each of the one or more nonlinear blocks; and constructing an explicit dynamic ordinary differential equation (ODE) model that corresponds to the implicit dynamic DAE model based on the linear blocks and the surrogate causal model. The explicit ODE model may be useful for controlling operations, diagnosing issues, and prognosticating conditions within a physical system.
    Type: Application
    Filed: February 9, 2021
    Publication date: August 11, 2022
    Applicant: Palo Alto Research Center Incorporated
    Inventors: Ion Matei, Aleksandar B. Feldman, Johan de Kleer
  • Patent number: 11386509
    Abstract: One embodiment of the present disclosure provides a system for determining a hybrid-manufacturing plan for manufacturing an object. During operation, the system can obtain a set of hybrid-manufacturing constraints for manufacturing the object. The set of hybrid-manufacturing constraints can include a set of primitives, a set of atoms, and an atom end-state vector. An atom can correspond to a unit of spatial volume of the object. A primitive can represent an additive or a subtractive manufacturing process corresponding to one or more atoms of the object. Next, the system can determine a plurality of feasible hybrid-manufacturing plans based on the set of hybrid-manufacturing constraints. Each feasible hybrid-manufacturing plan can represent an ordering of the set of primitives that satisfies the atom end-state vector. The system can then determine costs for manufacturing the object using the plurality feasible hybrid-manufacturing plans.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: July 12, 2022
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Aleksandar B. Feldman, Morad Behandish, Johan de Kleer, Ion Matei, Saigopal Nelaturi
  • Publication number: 20220188486
    Abstract: System and method that allow utilize machine learning algorithms to move a micro-object to a desired position are described. A sensor such as a high speed camera or capacitive sensing, tracks the locations of the objects. A dynamic potential energy landscape for manipulating objects is generated by controlling each of the electrodes in an array of electrodes. One or more computing devices are used to: estimate an initial position of a micro-object using the sensor; generate a continuous representation of a dynamic model for movement of the micro-object due to electrode potentials generated by at least some of the electrodes and use automatic differentiation and Gauss quadrature rules on the dynamic model to derive optimum potentials to be generated by the electrodes to move the micro-object to the desired position; and map the calculated optimized electrode potentials to the array to activate the electrodes.
    Type: Application
    Filed: December 14, 2020
    Publication date: June 16, 2022
    Inventors: Ion Matei, Anne Plochowietz, Saigopal Nelaturi, Johan de Kleer, Jeng Ping Lu, Lara S. Crawford, Eugene M. Chow
  • Publication number: 20220187785
    Abstract: System and method that to shape micro-object density distribution (how densely the micro-objects are assembled in particular spatial regions) are provided. A high speed camera tracks existing object density distribution. An array of photo-transistor-controlled electrodes is used to generate a dynamic potential energy landscape for manipulating objects with both DEP and EP forces, and a video projector is used actuate the array. One or more computing devices are used to: process images captured by the camera to estimate existing density distribution of objects; receive a desired density distribution of micro-objects; define a model describing a variation of micro-object density over time due to capacitance-based interactions; generate a sequence of electrode potential that when generated would minimize error between the existing density distribution and a desired density distribution; and use the sequences of electrode potentials to actuate the electrodes.
    Type: Application
    Filed: December 15, 2020
    Publication date: June 16, 2022
    Inventors: Ion Matei, Johan de Kleer, Christoforos Somarakis
  • Publication number: 20220180024
    Abstract: A component library having a plurality of design components is received. Designs are predicted using the plurality of components using a machine learning model. The predicted designs comprise a subset of all possible designs using the plurality of components. A set of design criteria is received. At least one design solution is generated based on the set of design criteria and the predicted designs.
    Type: Application
    Filed: December 4, 2020
    Publication date: June 9, 2022
    Inventors: Ion Matei, Maksym Zhenirovskyy, Johan de Kleer, Aleksandar B. Feldman
  • Publication number: 20220156881
    Abstract: System and method that allow to jointly cause movement of multiple micro-and-nano-objects to desired positions are described. A high speed camera tracks the locations of the objects. An array of photo-transistor-controlled electrodes is used to generate a dynamic potential energy landscape for manipulating objects with both DEP and EP forces, and a video projector is used actuate the array. One or more computing devices are used to: process images captured by the camera to estimate positions of the objects; generate desired trajectories of the objects using an objective function; compare the desired chiplet positions with current positions and generate input signals to minimize the error between them; and map the control inputs to images that are projected on the array using a video project. The projected images activate or deactivate electrodes, as indicated by the control inputs.
    Type: Application
    Filed: November 16, 2020
    Publication date: May 19, 2022
    Inventors: Ion Matei, Johan de Kleer
  • Patent number: 11321504
    Abstract: The following relates generally to system modeling. Some embodiments described herein learn a representation of the parameter feasibility space that make model parameter tuning easier by constraining the search space, thus enabling physical interpretation of the learned model. They also enable model-based system analytics (controls, diagnosis, prognostics) by providing a system model.
    Type: Grant
    Filed: May 9, 2018
    Date of Patent: May 3, 2022
    Assignee: PALO ALTO RESEARCH CENTER INCORPORATED
    Inventors: Ion Matei, Johan de Kleer
  • Publication number: 20220129012
    Abstract: A nonlinear dynamic control system is defined by a set of equations that include a state vector and one or more control inputs. Via a machine learning method, a sub-optimal controller is derived that stabilizes the nonlinear dynamic control system at an equilibrium point. The sub-optimal controller is retrained to be used as a stabilizing controller for the nonlinear dynamic control system under general operating conditions.
    Type: Application
    Filed: October 23, 2020
    Publication date: April 28, 2022
    Inventors: Ion Matei, Rajinderjeet Singh Minhas, Johan de Kleer, Maksym Zhenirovskyy
  • Publication number: 20220075357
    Abstract: One embodiment of the present disclosure provides a system for determining a hybrid-manufacturing plan for manufacturing an object. During operation, the system can obtain a set of hybrid-manufacturing constraints for manufacturing the object. The set of hybrid-manufacturing constraints can include a set of primitives, a set of atoms, and an atom end-state vector. An atom can correspond to a unit of spatial volume of the object. A primitive can represent an additive or a subtractive manufacturing process corresponding to one or more atoms of the object. Next, the system can determine a plurality of feasible hybrid-manufacturing plans based on the set of hybrid-manufacturing constraints. Each feasible hybrid-manufacturing plan can represent an ordering of the set of primitives that satisfies the atom end-state vector. The system can then determine costs for manufacturing the object using the plurality feasible hybrid-manufacturing plans.
    Type: Application
    Filed: September 10, 2020
    Publication date: March 10, 2022
    Applicant: Palo Alto Research Center Incorporated
    Inventors: Aleksandar B. Feldman, Morad Behandish, Johan de Kleer, Ion Matei, Saigopal Nelaturi
  • Patent number: 11249891
    Abstract: A method includes receiving a subject-matter expert (SME) interpretable model. The method further includes converting, by a processing device, the SME interpretable model into a functional mockup unit (FMU). The method further includes integrating the FMU into a control software project (CSP). The method further includes compiling the CSP into binary code.
    Type: Grant
    Filed: March 22, 2021
    Date of Patent: February 15, 2022
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Peter Patel-Schneider, Ion Matei, Alexandre Perez, Ron Zvi Stern, Johan de Kleer
  • Patent number: 11244097
    Abstract: One embodiment can provide a system for determining a hybrid-manufacturing process plan for manufacturing a printed circuit board (PCB). During operation, the system can obtain a set of hybrid-manufacturing constraints. The set of hybrid-manufacturing constraints can include a set of primitives, a set of atoms, and an atom end-state vector. A primitive can represent an additive or a subtractive manufacturing process corresponding to one or more atoms of the PCB. An atom can correspond to a unit of spatial volume of the PCB. The system can determine a plurality of feasible hybrid-manufacturing plans based on the set of hybrid-manufacturing constraints. Each feasible hybrid-manufacturing plan can represent an ordering of the set of primitives satisfying the atom end-state vector. The system can determine costs for manufacturing the PCB using the plurality of feasible hybrid-manufacturing plans. The system can determine, based on the costs, an optimized hybrid-manufacturing plan for manufacturing the PCB.
    Type: Grant
    Filed: September 16, 2020
    Date of Patent: February 8, 2022
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Aleksandar B. Feldman, Morad Behandish, Johan de Kleer, Ion Matei, Saigopal Nelaturi
  • Publication number: 20210356951
    Abstract: The system and method described allow for real-time control over positioning of a micro-object. A movement of at least one micro-object suspended in a medium can be induced by a generation of one or more forces by electrodes proximate to the micro-object. Prior to inducing the movement, a simulation is used to develop a model describing a parameter of an interaction between each of the electrodes and the micro-object. A function describing the forces generated by an electrode and an extent of the movement induced due to the forces is generated using the model. The function is used to design closed loop policy control scheme for moving the micro-object towards a desired position. The position of the micro-object is tracked and taken into account when generating voltage patterns in the scheme.
    Type: Application
    Filed: August 2, 2021
    Publication date: November 18, 2021
    Inventors: Ion Matei, Jeng Ping Lu, Saigopal Nelaturi, Julie A. Bert, Lara S. Crawford, Armin R. Volkel, Eugene M. Chow
  • Patent number: 11163919
    Abstract: A method and system for automated design of a physical system are provided. During operation, the system obtains a component library comprising a plurality of physical components, receives design requirements of the physical system, and constructs an initial system model based on physical components in the component library and the design requirements. The system topology associated with the initial system model can include a large number of links that are sufficiently coupled to one another, and a respective link comprises one or more physical components. The system further performs an optimization operation comprising a plurality of iterations, with the system topology being updated at each iteration. Updating the system topology includes removing links and components from the system topology. The system then generates a final system model based on an outcome of the optimization operation and outputs a design solution of the physical system according to the final system model.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: November 2, 2021
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Ion Matei, Maksym I. Zhenirovskyy, Johan de Kleer, Aleksandar B. Feldman
  • Patent number: 11157672
    Abstract: One embodiment of the present disclosure provides a system for determining a hybrid-manufacturing plan for manufacturing an integrated circuit (IC). During operation, the system can obtain a set of hybrid-manufacturing constraints for manufacturing the IC. The set of hybrid-manufacturing constraints can include a set of primitives, a set of atoms, and an atom end-state vector. An atom can correspond to a unit of spatial volume of the IC. A primitive can represent an additive, subtractive, or a mixed manufacturing process corresponding to one or more atoms of the IC. Next, the system can determine a plurality of feasible hybrid-manufacturing plans based on the set of manufacturing constraints. Each feasible hybrid-manufacturing plan can represent an ordering of the set of primitives that satisfies the atom end-state vector. The system can then determine costs for manufacturing the IC using the plurality feasible hybrid-manufacturing plans.
    Type: Grant
    Filed: September 17, 2020
    Date of Patent: October 26, 2021
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Aleksandar B. Feldman, Morad Behandish, Johan de Kleer, Ion Matei, Saigopal Nelaturi
  • Patent number: 11137318
    Abstract: One embodiment can provide a method and a system for diagnosing faults in a physical system. During operation, the system obtains a time-domain model of the physical system and converts the time-domain model to the frequency domain to obtain a frequency-domain model of the physical system. The time-domain model can include one or more model parameters having known values. The system also obtains time-domain input and output signals and converts the time-domain input and output signals to the frequency domain to obtain frequency-domain input and output signals. The system identifies at least one model parameter having an expected value that is different from a known value of the at least one model parameter based on the frequency-domain model and the frequency-domain input and output signals, and generates a diagnostic output indicating at least one component within the physical system being faulty based on the identified at least one model parameter.
    Type: Grant
    Filed: July 9, 2018
    Date of Patent: October 5, 2021
    Assignee: PALO ALTO RESEARCH CENTER INCORPORATED
    Inventors: Ion Matei, Aleksandar B. Feldman, Johan de Kleer
  • Publication number: 20210256170
    Abstract: A target system is coupled to a diagnosis engine that uses a lumped parameter model of the system for diagnosis. A proximity search in is performed in a computer-aided design model of the system to find groups of components that may be affected by resistive or parasitic interactions between the individual components in the groups. The lumped parameter model is augmented by adding elements that emulate the resistive or parasitic interactions between the individual components in the groups. The augmented lumped model is used by the diagnosis engine to perform diagnosis on the system.
    Type: Application
    Filed: February 18, 2020
    Publication date: August 19, 2021
    Inventors: Ion Matei, Saigopal Nelaturi, Johan de Kleer, Clinton Morris, Aleksandar B. Feldman
  • Patent number: 11079747
    Abstract: The system and method described allow for real-time control over positioning of a micro-object. A movement of at least one micro-object suspended in a medium can be induced by a generation of one or more forces by electrodes proximate to the micro-object. Prior to inducing the movement, a simulation is used to develop a model describing a parameter of an interaction between each of the electrodes and the micro-object. A function describing the forces generated by an electrode and an extent of the movement induced due to the forces is generated using the model. The function is used to design closed loop policy control scheme for moving the micro-object towards a desired position. The position of the micro-object is tracked and taken into account when generating control signals in the scheme.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: August 3, 2021
    Assignee: PALO ALTO RESEARCH CENTER INCORPORATED
    Inventors: Ion Matei, Jeng Ping Lu, Saigopal Nelaturi, Julie A. Bert, Lara S. Crawford, Armin R. Volkel, Eugene M. Chow
  • Patent number: 11043951
    Abstract: An analog circuit for solving optimization algorithms comprises three voltage controlled current sources and three capacitors, operatively coupled in parallel to the three voltage controlled current sources, respectively. The circuit further comprises a first inductor, operatively coupled in series between a first pair of the capacitors and the voltage controller current sources and a second pair of the capacitors and the voltage controller current sources. The circuit further comprises a second inductor, operatively coupled in series between the second pair of the capacitors and the voltage controller current sources and a third pair of the capacitors and the voltage controller current sources.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: June 22, 2021
    Assignee: PALO ALTO RESEARCH CENTER INCORPORATED
    Inventors: Ion Matei, Aleksandar Feldman, Johan de Kleer
  • Publication number: 20210184680
    Abstract: An analog circuit for solving optimization algorithms comprises three voltage controlled current sources and three capacitors, operatively coupled in parallel to the three voltage controlled current sources, respectively. The circuit further comprises a first inductor, operatively coupled in series between a first pair of the capacitors and the voltage controller current sources and a second pair of the capacitors and the voltage controller current sources. The circuit further comprises a second inductor, operatively coupled in series between the second pair of the capacitors and the voltage controller current sources and a third pair of the capacitors and the voltage controller current sources.
    Type: Application
    Filed: February 9, 2021
    Publication date: June 17, 2021
    Inventors: Ion Matei, Aleksandar Feldman, Johan de Kleer
  • Patent number: 11003823
    Abstract: The following relates generally to analog circuit re-design. Some embodiments identify a candidate component of the circuit by determining that if the candidate component is adjusted or replaced, the circuit will satisfy a requirement metric. In some implementations, an optimization problem or Bayesian reasoning may be used to change parameters of the candidate component to create a replacement component. In some implementations, a replacement component of a different type than the candidate component may be selected by solving a mixed-integer optimization program or by using a non-linear program with continuous parameters.
    Type: Grant
    Filed: August 9, 2018
    Date of Patent: May 11, 2021
    Assignee: PALO ALTO RESEARCH CENTER INCORPORATED
    Inventors: Ion Matei, Alexander Feldman, Johan de Kleer