Abstract: An uncertain noisy filtering-based fault diagnosis method for a power battery management system is described. The method includes establishing an electro-thermal coupling model of the power battery system; extending an output vector of the system according to a state constraint of a power battery, and expanding a state vector of the system according to a fault of the power battery system to obtain an augmented system of the power battery system; obtaining an estimation interval of a power battery sensor fault by using a zonotope Kalman filtering method; judging whether the power battery management system has a fault according to upper and lower bounds of fault estimation; if a fault occurs, determining a fault type and a fault time according to a result.

Abstract: Disclosed is a state estimation method for a power battery formation process based on convex space filtering, belonging to the technical field of power battery manufacturing. The method performs state estimation on a time delay system by a filtering method, and an iterative replacement method is provided for converting the state quantity at a time k to the state quantity at a time k?h and subsequent items, so as to combine time delay items, thereby avoiding the problem that the dimension is increased when a state matrix A and a state matrix Ah of a time-delay state quantity are subsequently combined into a new state matrix, and reducing the computation complexity and computation time in subsequent computations. Moreover, the estimation accuracy is also improved to a certain extent because of the cancellation of the same items in the iterative replacement.

Abstract: A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

Abstract: Provided is a method for predicting a location of a fast-moving object. The method includes receiving event information from an event camera, the event information corresponding to an event detected by the event camera, generating a Binary Event History Image (BEHI) based on the event information, providing the BEHI as an input to an event-based neural network, obtaining, as an output of the event-based neural network, a first predicted location of the fast-moving object, a normal distribution indicating prediction uncertainty of the predicted location, and a predicted time-to-collision (TTC). The method further includes estimating a second predicted location of the fast-moving object based on the first predicted location, the normal distribution, and the predicted TTC output by the event-based neural network, and actuating a mechanical catching device to be at the second predicted location.

Abstract: The present invention discloses a supersonic inlet with synchronous adjustment of capture area and throat area, wherein the throat area may be adjusted by providing a movable throat section, while the capture area may be adjusted by providing a movable cowl section at the front end of the cowl lip, thereby realizing the effect that the capture area and the throat area of the inlet may be adjusted in synchronization. Meanwhile, the present invention also provides a control method and a design method of the above-mentioned inlet. The present invention greatly simplifies the actuation system and control system, significantly reduces the weight of the accessory system, and enables the performance of the inlet within a wide envelope range to be maintained in an excellent state.

Abstract: Disclosed is a state estimation method for a power battery formation process based on convex space filtering, belonging to the technical field of power battery manufacturing. The method performs state estimation on a time delay system by a filtering method, and an iterative replacement method is provided for converting the state quantity at a time k to the state quantity at a time k?h and subsequent items, so as to combine time delay items, thereby avoiding the problem that the dimension is increased when a state matrix A and a state matrix Ah of a time-delay state quantity are subsequently combined into a new state matrix, and reducing the computation complexity and computation time in subsequent computations. Moreover, the estimation accuracy is also improved to a certain extent because of the cancellation of the same items in the iterative replacement.

Abstract: The present disclosure discloses an uncertain noisy filtering-based fault diagnosis method for a power battery management system and belongs to the field of power battery fault diagnosis. The method comprises: establishing an electro-thermal coupling model of a power battery system; extending an output vector of the system according to a state constraint of a power battery, and expanding a state vector of the system according to a fault of the power battery system to obtain an augmented system of the power battery system; obtaining an estimation interval of a power battery sensor fault by using a zonotope Kalman filtering method; judging whether the power battery management system has a fault according to upper and lower bounds of fault estimation, and if a fault occurs, determining a fault type and a fault time according to a result.

Abstract: An apparatus for reconstructing a 3D object, includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain, using a first neural network, mapping function weights of a mapping function of a second neural network, based on an image feature vector corresponding to a 2D image of the 3D object, set the mapping function of the second neural network, using the obtained mapping function weights, and based on sampled points of a canonical sampling domain, obtain, using the second neural network of which the mapping function is set, 3D point coordinates and geodesic lifting coordinates of each of the sampled points in the 3D object corresponding to the 2D image, wherein the 3D point coordinates are first three dimensions of an embedding vector of a respective one of the sampled points, and the geodesic lifting coordinates are remaining dimensions of the embedding vector.

Abstract: A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

Abstract: An apparatus for reconstructing a 3D object, includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain, using a first neural network, mapping function weights of a mapping function of a second neural network, based on an image feature vector corresponding to a 2D image of the 3D object, set the mapping function of the second neural network, using the obtained mapping function weights, and based on sampled points of a canonical sampling domain, obtain, using the second neural network of which the mapping function is set, 3D point coordinates and geodesic lifting coordinates of each of the sampled points in the 3D object corresponding to the 2D image, wherein the 3D point coordinates are first three dimensions of an embedding vector of a respective one of the sampled points, and the geodesic lifting coordinates are remaining dimensions of the embedding vector.

Abstract: Disclosed are methods of using Group 4 transition metal azatrane precursors to deposit Group 4 transition metal-containing films on one or more substrates via vapor deposition processes.

Abstract: The disclosure relates to a fault detection method for a Buck converter based on an inverse Kalman filter, which belongs to the field of fault detection for power converters. The method includes: establishing a hybrid discrete model of a non-ideal Buck converter in Continuous Conduction Mode (CCM); acquiring a state equation and an observation equation of the Buck converter; acquiring the input voltage, the switching state, the inductive current and the output voltage in a working state, and determining the state matrix of the Buck converter; estimating a parameter matrix at time k according to the state matrix, the state equation and the observation equation; determining an estimated value of each component according to the estimated parameter matrix of the Buck converter at time k; and determining whether the Buck converter is faulty or not according to the estimated value of each component.

Abstract: The present invention discloses a supersonic inlet with synchronous adjustment of capture area and throat area, wherein the throat area may be adjusted by providing a movable throat section, while the capture area may be adjusted by providing a movable cowl section at the front end of the cowl lip, thereby realizing the effect that the capture area and the throat area of the inlet may be adjusted in synchronization. Meanwhile, the present invention also provides a control method and a design method of the above-mentioned inlet. The present invention greatly simplifies the actuation system and control system, significantly reduces the weight of the accessory system, and enables the performance of the inlet within a wide envelope range to be maintained in an excellent state.

Abstract: The disclosure relates to a fault detection method for a Buck converter based on an inverse Kalman filter, which belongs to the field of fault detection for power converters. The method includes: establishing a hybrid discrete model of a non-ideal Buck converter in Continuous Conduction Mode (CCM); acquiring a state equation and an observation equation of the Buck converter; acquiring the input voltage, the switching state, the inductive current and the output voltage in a working state, and determining the state matrix of the Buck converter; estimating a parameter matrix at time k according to the state matrix, the state equation and the observation equation; determining an estimated value of each component according to the estimated parameter matrix of the Buck converter at time k; and determining whether the Buck converter is faulty or not according to the estimated value of each component.

Abstract: Group 4 transition metal-containing film forming compositions comprising Group 4 transition metal azatrane precursors are disclosed. Also disclosed are methods of synthesizing and using the disclosed precursors to deposit Group 4 transition metal-containing films on one or more substrates via vapor deposition processes.

Abstract: Silicon precursors for forming silicon-containing films in the manufacture of semiconductor devices, such as films including silicon carbonitride, silicon oxycarbonitride, and silicon nitride (Si3N4), and a method of depositing the silicon precursors on substrates using low temperature (e.g., <550° C.) chemical vapor deposition processes, for fabrication of ULSI devices and device structures.

Abstract: Silicon precursors for forming silicon-containing films in the manufacture of semiconductor devices, such as films including silicon carbonitride, silicon oxycarbonitride, and silicon nitride (Si3N4), and a method of depositing the silicon precursors on substrates using low temperature (e.g., <550° C.) chemical vapor deposition processes, for fabrication of ULSI devices and device structures.

Abstract: Silicon precursors for forming silicon-containing films in the manufacture of semiconductor devices, such as films including silicon carbonitride, silicon oxycarbonitride, and silicon nitride (Si3N4), and a method of depositing the silicon precursors on substrates using low temperature (e.g., <550° C.) chemical vapor deposition processes, for fabrication of ULSI devices and device structures.

Abstract: A method for forming a tantalum-containing layer on a substrate, the method comprising at least the steps of: a) providing a vapor comprising at least one precursor compound of the formula Cp(R1)mTa(NR22)2(?NR3) (I): wherein: R1 is an organic ligand, each one independently selected in the group consisting of H, linear or branched hydrocarbyl radical comprising from 1 to 6 carbon atoms; R2 is an organic ligand, each one independently selected in the group consisting of H, linear or branched hydrocarbyl radical comprising from 1 to 6 carbon atoms; R3 is an organic ligand selected in the group consisting of H, linear or branched hydrocarbyl radical comprising from 1 to 6 carbon atoms; b) reacting the vapor comprising the at least one compound of formula (I) with the substrate, according to an atomic layer deposition process, to form a layer of a tantalum-containing complex on at least one surface of said substrate.

Abstract: Si(OEt)2[CH2—Si(OEt)3]2 compounds are synthesized by reacting a Grignard reagent having the formula Si(OEt)3(CH2MgCl) with a quenching agent having the formula Si(OEt)2Cl2.