88 results about "Strongly coupled" patented technology

The invention belongs to the technical field of automatic control, and particularly relates to an improved linear gain digital control method for a power supply system. The problems that a traditional fixed linear gain digital controller is poor in control precision, robustness, response speed and stability, prone to overshoot and oscillation, heavy in calculation burden, large in hardware consumption and the like in a complex dynamic environment and a nonlinear or strong coupling system are solved. According to the method, an operation state and environment parameters are obtained and processed, and system dynamic characteristics are intelligently evaluated; calculating an optimal control gain factor in combination with a gain scheduling rule or an adaptive learning model, and applying the optimal control gain factor to a linear digital controller for dynamic adjustment; and non-linear compensation processing is carried out on the adjusted control quantity, so that accurate closed-loop control is realized. The control precision can be obviously improved, the system response can be accelerated, the external interference suppression capability can be enhanced, the hardware dependence can be reduced, overshoot and oscillation can be eliminated, and high-precision, low-power-consumption and wide-adaptability digital control can be realized.

Methods and systems for mitigating the effects of defects in a quantum processor are provided. A mitigation system includes a quantum processor comprising a plurality of qubits. The system includes a light emitting source that can be tuned to produce light pulses of different wavelengths. The system includes an array of bandpass filters. Each bandpass filter is aligned with a qubit on the quantum processor and has a unique pass band. The system may include a controller configured to receive a selection of a qubit and to tune the light emitting source to emit a light pulse having a wavelength that falls within a range of a bandpass filter that is aligned with the selected qubit. The light pulse is used to scramble an ensemble of strongly coupled two-level system (TLS) in the processor.

The application relates to the technical field of yaw slip ring state monitoring, and specifically discloses a multi-dimensional state operation monitoring method and system based on a yaw slip ring, which comprises the following steps: obtaining an original operation data set of the yaw slip ring, wherein the original operation data set contains operation parameters in the electrical, mechanical, attitude and environmental dimensions which are collected via sensors and subjected to redundancy checking; constructing a noise suppression matrix based on the physical mechanism of the yaw slip ring, filtering isolated fluctuations and cross-modal abnormal values in the original operation data set by using the noise suppression matrix, and inputting the noise suppression matrix into a convolutional neural network model to obtain a fusion feature vector. By introducing the noise suppression matrix constructed based on the physical mechanism and the channel interaction mechanism guided by the physical topology, the technical problem that a lightweight model is difficult to extract cross-modal strong coupling features at an edge end is effectively solved, and the sensitivity and accuracy for early composite faults are significantly improved without increasing the computing power burden.

The invention discloses a reactor nuclear material cross-scale simulation method coupling microstructure simulation and mechanical-thermal performance calculation. The method comprises the following steps: a, planning a most unit sampling point through a most unit method; b, simulating through a mesoscale phase field model to obtain force thermal parameters; c, the force and heat parameters are input into a finite element model to be simulated to obtain force and heat performance; d, the mechanical and thermal performance is input into the phase field model for simulation to obtain the structure morphology of the target nuclear material; e, obtaining a macroscopic scale-mesoscopic scale coupling model by circulating the step c and the step d; f, obtaining a strong coupling model through physical time axis control; and g, constructing a database of the relationship between the mechanical and thermal parameters and the mechanical and thermal performance through a data-driven neural network algorithm. According to the method, strong coupling is achieved through parameter transmission of the mesoscale phase field model and the macroscale finite element, the macroscale and the mesoscale are connected through the most element method, the parameter transmission precision can be adjusted according to convergence, and novel reactor material mechanical and thermal performance prediction can be achieved.

This invention relates to the field of wireless communication network optimization technology, specifically a three-dimensional communication coverage method that jointly optimizes the downtilt angle of ground base stations and the deployment location of airborne base stations. Based on an integrated air-ground network, this method designs a two-layer optimization architecture for network optimization. By handling the location selection of airborne base stations and the adjustment of antenna tilt angles of ground base stations separately, it avoids strong coupling between discrete and continuous variables, thereby preventing superlinear expansion of the solution space. Simultaneously, by introducing SPSA simulated gradient technology and the ZO-Adam optimization algorithm, it overcomes the non-smoothness and non-convexity problems of the system's spectral efficiency function, ensuring the stability and convergence of the optimization process. Furthermore, the two-layer optimization architecture effectively alleviates the path dependency problem of greedy algorithms, achieving a balance between global search and timeliness.

This invention belongs to the technical field of digital design of Roots blower equipment, specifically involving a digital twin-based digital design method for the dynamic performance of blowers. This method includes constructing a parametric structural model of multiple components of the blower, establishing a multi-physics coupled model encompassing aerodynamics, structure, heat, electromagnetics, and acoustics, applying dynamic boundary conditions such as flow disturbances, inertial forces, and base disturbances, constructing a digital twin model synchronized with the physical blower state, performing a master-slave strongly coupled joint solution, extracting multi-field response indices and performing normalization analysis, and finally outputting optimized design parameters for the blower through a multi-objective optimization feedback mechanism. This invention enables multi-domain balanced design among the blower's structural performance, electromagnetic response, thermal stability, and acoustic characteristics, improving modeling accuracy and parameter optimization capabilities, and is suitable for the digital development of high-reliability Roots blower equipment under complex operating conditions.

This invention relates to the field of optical technology, specifically to a multi-mode FP-anapole-exciton system that achieves multiple strongly coupled Rabi splits. The system comprises basic units arranged in a two-dimensional periodic pattern, with a square period. Each basic unit includes, from bottom to top, a first dielectric layer, a first metal layer, a composite layer, a second metal layer, and a second dielectric layer. The composite layer includes a transparent dielectric and a heterogeneous disk embedded within it. The heterogeneous disk includes, from top to bottom, a first dielectric disk, a semiconductor disk, and a second dielectric disk. This invention utilizes incident light waves to induce excitation of multiple FP-cavity modes, anapoles, and excitons. Through precise structural design and parameter adjustment, it achieves strong coupling between these multiple FP-cavity modes, anapoles, and excitons, expanding the number of Rabi splits, enhancing the strength of the three-mode coupling, and obtaining multiple large Rabi splitting energies. It has broad application prospects in ultrafast optical switches, Bose-Einstein condensates, and low-threshold lasers.

The invention relates to a phase modifier network-related test simulation platform based on multi-physics field coupling. The platform comprises a power grid fault generation device, an electromagnetic field theoretical calculation device, a thermal field theoretical calculation device, a structure field calculation device and a multi-source input coupling device. According to the multi-physical field coupling simulation platform constructed in the scheme, the limitation of a traditional isolated calculation method is thoroughly overcome through a real-time interaction mechanism of dynamically integrating an electromagnetic field, a thermal field and a structural field. Under a power grid fault working condition, the platform accurately simulates a strong coupling effect among electromagnetic loss, temperature distribution and mechanical deformation (such as local overheating caused by eddy-current loss, air gap offset caused by thermal expansion and closed-loop influence of electromagnetic imbalance aggravated by eccentricity); and the output actual parameter set (electromagnetic force density, temperature rise curve, air gap eccentricity and the like) is highly close to the real operation state of the phase modifier set.

This invention discloses a bandpass frequency-selective surface structure based on strongly coupled pairs, composed of multiple basic structural units. Each basic structural unit has a vertically symmetrical structure along its thickness direction. Both the upper and lower symmetrical portions include a first metal layer and a first dielectric layer in symmetrical positions. The first metal layer contains a first resonator pair, a second resonator pair, and a third resonator pair, each using metal patches as resonators. A second metal layer and a second dielectric layer, separated along the thickness direction of the basic structural unit and in asymmetrical positions, are disposed between the upper and lower symmetrical portions. The upper and lower symmetrical portions are connected by metal conductive posts. This invention operates stably at a center frequency of 5 GHz, introduces four transmission zeros, achieves a fourth-order frequency response within 8.4% of the relative bandwidth, has an insertion loss of less than 0.49 dB, and 40° angular stability, exhibiting superior performance.

The invention belongs to the technical field of photocatalyst composite materials, and particularly relates to a covalent bond bonded MoBTx / CdS composite material and a preparation method and application thereof.According to the MoBTx / CdS composite material, rod-shaped CdS and two-dimensional layered MoBTx are compounded through an in-situ growth strategy, covalent bonding between Mo atoms and S atoms is achieved at an interface, and the MoBTx / CdS composite material is obtained. Therefore, a strong-coupling heterogeneous interface is constructed. The covalent bond mediated composite structure can significantly enhance visible light absorption and optimize carrier separation and transmission kinetics, thereby improving the activity and stability of hydrogen production by photocatalytic decomposition of water. The material is excellent in environmental adaptability and can keep good hydrogen evolution performance under complex water quality and low-temperature conditions. The research provides a new interface engineering idea for designing an efficient and stable semiconductor-metal boride photocatalyst.

The application discloses a shortwave miniaturized antenna based on electromagnetic super-metamaterial resonance mechanism and belongs to the technical field of wireless communication and antenna. The antenna comprises a main radiator, a plurality of electromagnetic super-metamaterial resonance units and a feeding structure, wherein the physical length of the main radiator is far less than the working wavelength; the super-metamaterial resonance units are arranged in the near-field region of the main radiator and are strongly coupled with the main radiator, magnetic resonance or electric resonance is generated at a target shortwave frequency point, a frequency splitting effect is generated, the resonance frequency of the antenna is greatly reduced, and deep miniaturization is realized; and the feeding structure is used for coupling radio frequency energy. The application can reduce the size of the shortwave antenna to less than 1 / 5 of the size of a conventional antenna, meanwhile, a relatively high radiation efficiency is maintained, frequency electric tuning can be realized through integrated adjustable elements, and the application is suitable for shortwave communication occasions with limited space, such as mobile platforms and portable devices.

The invention discloses a material multi-constitutive parameter inversion method and related equipment, and the method comprises the steps: S1, inputting a candidate constitutive parameter combination into a pre-trained proxy model, and obtaining a mechanical response dimension reduction representation corresponding to the candidate constitutive parameter combination; s2, based on the mechanical response dimension reduction representation corresponding to the candidate constitutive parameter combination and a predetermined primary function set, reconstructing to obtain a mechanical response prediction curve corresponding to the candidate constitutive parameter combination; s3, performing matching degree calculation on a mechanical response prediction curve corresponding to the candidate constitutive parameter combination and a target experiment mechanical response curve; s4, judging whether a convergence condition is met or not according to the matching degree: if yes, outputting the current candidate constitutive parameter combination as an inversion result; and if not, updating the candidate constitutive parameter combination and returning to the step S1. The objective of the invention is to overcome the problem of low efficiency caused by strong coupling among parameters and high calculation cost of direct problem solving in a traditional inversion method.

This invention relates to the field of microfluidic control technology and discloses a method and system for detecting and controlling microfluidic droplet formation. The method first constructs an ideal concentric ring geometric model by acquiring the target parameters of the microcapsule and establishes a force-shape coupling response matrix. Based on this, a preset velocity triplet is solved to generate the initial droplet. Then, droplet image sequences are acquired and fitted with real-time concentric ring groups. These are geometrically superimposed with the ideal concentric ring geometric model to generate a deviation ring domain, which is then decomposed hierarchically to obtain geometric deformation characteristic components. Finally, a coordinated velocity adjustment vector is calculated using the force-shape coupling response matrix, a composite fluid correction field is constructed, and the deviation ring ablation cycle is iteratively executed until geometric convergence is achieved. This invention effectively solves the oscillation problem caused by strong parameter coupling in multiphase flow fields by constructing a quantitative mapping and inverse decoupling mechanism between fluid and geometric shape, achieving coordinated and precise control of the microcapsule's external dimensions and internal structure.

The present application relates to the technical field of motor design, and particularly relates to a permanent magnet motor iron core size optimization method based on a particle swarm algorithm. The method comprises the following steps: selecting geometric parameters such as stator tooth width to construct particles and initializing a particle swarm; in each round of iteration, an agent model constructed in advance is used to predict the electromagnetic performance index of the particles and to calculate the fitness value; a gradient vector is constructed by perturbing the global optimal solution, and the maximum value of the cosine similarity of the gradient vectors between geometric parameters is calculated as the correlation attribute value; the speed update logic is dynamically corrected in response to the correlation attribute value: an inertia weight inversely proportional to the correlation attribute value is applied to the strongly coupled parameters to suppress oscillation, and an inertia weight proportional to the gradient module length is applied to the weakly coupled parameters to accelerate convergence; until the convergence condition is met, the optimal iron core size is output. The present application effectively solves the oscillation problem caused by strongly coupled parameters, and significantly improves the optimization accuracy and efficiency.

This application discloses a three-dimensional ultra-wideband power divider, belonging to the field of radio frequency communication technology. It includes an input port, a strongly coupled line unit, a weakly coupled line unit, a first output port, and a second output port. The input port, strongly coupled line unit, and weakly coupled line unit are connected sequentially. The first terminal of the second end of the weakly coupled line unit is connected to the first output port, and the second terminal of the second end of the weakly coupled line unit is connected to the second output port. The weakly coupled line unit includes any number of coupling lines and multiple first resistors, with the multiple first resistors bridging between two coupling lines of the weakly coupled line unit. The strongly coupled line unit is a three-dimensional integrated vertical substrate circuit structure. This application overcomes the contradiction between ultra-wideband, high isolation, low loss, and mass production through a three-dimensional integrated structure, gradually changing coupling lines, and a multi-level bridging resistor network, providing a high-performance power divider solution for high-frequency communication systems.

The invention relates to the technical field of industrial automation control, and discloses an impedance control method and system based on AI Agent and MCP architecture, and the method comprises the steps: obtaining user side multi-modal test demand data and circuit board engineering data; constructing a standardized demand constraint set; constructing a three-level atomic power service architecture; a standardized test context is generated; generating a concurrent candidate action sequence of multiple test heads; security verification is carried out through a multi-sub-agent cross evidence mechanism; executing closed-loop adaptive parameter adjustment; and outputting an impedance test result. The technical problems that in the prior art, a software module is strongly coupled, the artificial data conversion efficiency is low, and especially dynamic safety impedance control cannot be achieved under the multi-head cooperative operation condition are solved. Due to the fact that the layered atomic power architecture is constructed, separate control and self-adaptive optimization of demand understanding, process scheduling and physical execution are achieved, and the impedance testing efficiency and the industrial safety reliability are improved.

The invention belongs to the technical field of software testing, and particularly relates to a method for simplifying a reverse proxy system to acquire multi-dimensional traffic, which comprises the following steps of: constructing a closed-loop self-consistent system integrating traffic generation and response simulation, thoroughly breaking the strong coupling relationship between test logic and physical deployment architecture in the traditional test method, and improving the test efficiency. The complexity of a test environment is greatly simplified, hardware resources and operation and maintenance cost are remarkably reduced, testers are endowed with extremely high flexibility to define, combine and dynamically schedule multi-dimensional service scenes with any complexity, meanwhile, the reproducibility of the test is ensured by means of a deterministic data generation mechanism, and the test efficiency is improved. Therefore, a brand-new and systematic solution is provided for efficient, deep and comprehensive verification of the reverse proxy system.

The invention relates to the technical field of microfluidic control, and discloses a microfluidic droplet forming detection, regulation and control method and system.The method comprises the steps that an ideal concentric annulus geometric model is constructed by obtaining microcapsule target parameters, a force-shape coupling response matrix is established, and a preset flow velocity triad is solved according to the force-shape coupling response matrix to generate initial droplets; then collecting a liquid drop image sequence, fitting a real-time concentric circle group, carrying out geometric superposition on the real-time concentric circle group and the ideal concentric circle geometric model to generate a deviation annular domain, and carrying out hierarchical decomposition to obtain geometric deformation characteristic components; and finally, calculating a collaborative flow velocity regulation vector by combining the force-shape coupling response matrix, constructing a composite fluid correction field, and iteratively executing a deviation ring ablation cycle until geometric convergence is realized. According to the method disclosed by the invention, the problem of oscillation caused by strong coupling of parameters in a multiphase flow field is effectively solved by constructing a quantitative mapping and reverse decoupling mechanism of the fluid and the geometrical morphology, and collaborative precise control of the external dimension and the internal structure of the microcapsule is realized.

This invention discloses a method for predicting the quality of ultrafast laser multi-stage processing of complex microstructures based on multi-task deep learning, belonging to the field of laser processing quality prediction technology. The method first performs data augmentation on sparsely sampled historical processing data to construct a sufficient training sample set. Based on this, a quality prediction model based on multi-stage, multi-task learning is constructed. This model explicitly models the transmission of physical effects between stages by introducing a feature extraction module of a structured state space, and utilizes task clustering and specific feature modulation to achieve the collaborative prediction of multiple strongly coupled quality indicators such as roughness, depth, and perpendicularity. During training, an adaptive loss function based on uncertainty is used to automatically balance multi-task learning. In application, by inputting the process parameters for each stage, the model can output the predicted values ​​of the quality indicators for each stage of the entire process. This invention solves the problem of accurate quality prediction under the conditions of multi-stage cumulative effects and multi-indicator coupling relationships.

The application discloses a data collaborative verification method and device, electronic equipment and a storage medium; the method comprises the following steps: collecting multi-source heterogeneous environment data under an extreme marine real service environment through an installation in-situ test subsystem; acquiring physical mechanism data under the action of multiple environment elements in a controlled test environment through a laboratory test subsystem, and establishing a basic physical model based on the physical mechanism data; and verifying a full-scale twin model under multi-element heterogeneous environment data based on the basic physical model through a digital simulation test subsystem. The application uses multi-source heterogeneous measured data and laboratory physical mechanism data to collaboratively verify a digital simulation model, improves the simulation data accuracy of equipment in an extreme uncertain and strongly coupled marine environment, shortens the equipment research and development cycle, reduces the research and development cost, and solves the technical problem of simulation prediction inaccuracy in an extreme multi-ice low-temperature high-latitude coupled environment.

The invention discloses an edge agent collaborative optimization method based on cloud edge collaboration, and the method comprises the steps: obtaining an equipment operation state from each edge node, and constructing the association state representation of physical coupling between equipment based on the equipment operation state. And determining the physical coupling relationship strength between the devices according to the association state characterization, and reconstructing the device control partition based on the physical coupling relationship strength between the devices. And performing joint characterization on the operation constraint of each device in the reconstructed device control partition to generate a joint control space corresponding to the device control partition. And calling each edge node to execute a cooperative control action on the equipment in the corresponding equipment control partition according to the combined control space, and outputting an equipment response state after the cooperative control action is executed. According to the invention, the equipment in the same control partition has joint regulation and control performance, the strong coupling object is prevented from being mistakenly divided into independent decision units, the decision feasibility is improved, and the problem of transient strong coupling impact of a physical layer is eliminated.

The invention discloses a multi-dimensional vibration platform with double sandwich type piezoelectric actuators arranged in the same direction and an excitation method of the multi-dimensional vibration platform, and relates to the field of high-frequency vibration engineering and micro-nano machining. Aiming at the problem that a traditional piezoelectric vibration platform is difficult to realize higher-dimension multi-degree-of-freedom operation capability, the piezoelectric vibration platform comprises an output platform, two piezoelectric actuators, two end covers and two bolts. The piezoelectric actuator is provided with a longitudinal vibration ceramic set and two bending vibration ceramic sets arranged in the orthogonal direction, and through excitation of voltage signals with the same phase or the phase difference of 180 degrees, rotation around the X axis, the Y axis and the Z axis and translation along the X axis and the Y axis are achieved. Due to structural symmetry and driver arrangement constraint, Z-direction translation is strongly coupled with an existing mode, so that high-practicability five-degree-of-freedom output is focused. The same-direction arrangement type design is adopted, the characteristic of low motion coupling is achieved, and displacement deformation of the piezoelectric actuator can be converted into different actions needed by multi-dimensional vibration of the tail end platform. The method is suitable for the fields of laser processing, vibration-assisted processing, micro-nano operation, active vibration suppression and the like.

The application discloses a multi-bus harmonic collaborative management method and system based on residual learning, and belongs to the technical field of power quality management of power distribution systems. The application adopts a physical baseline and residual learning hybrid architecture: multi-bus harmonic detection data is collected, a linearized iterative optimizer is used to estimate equivalent sensitivity and calculate a physical baseline increment; a long short-term memory residual correction network with three separated inputs is constructed, the physical baseline increment, active power filter reference current and multi-bus harmonic voltage are taken as independent time sequence inputs, and the residual increment is output after feature extraction and fusion; in each control cycle, the reference current, the physical baseline increment and the residual increment of the last cycle are combined online to generate the active power filter harmonic current reference value. The application significantly improves the convergence speed and dynamic performance under strong coupling conditions, and is suitable for multi-bus collaborative harmonic management of complex power distribution systems.

This invention discloses a system and method for the synergistic optimization of endpoint temperature and raw material alkalinity in a sintering process. The system includes an independent auxiliary decision server and several functional modules integrated within it: a data acquisition module, an online raw material composition calculation module, a sintering endpoint prediction module, a causal decoupling and synergistic coefficient online identification module, a multivariable asymmetric time-delay decoupling module, an optimization suggestion module, and a reliable self-evolution module. The causal decoupling module constructs a structural causal model and calculates and outputs the decoupled synergistic optimization coefficients through online intervention, switching to a decoupling control mode when strong coupling occurs. The time-delay decoupling module constructs a multivariable time-delay matrix and deduces the state evolution across multiple time scales in a virtual reality space. The reliable self-evolution module introduces causal consistency verification to force model updates to not violate physical laws. This invention achieves causal decoupling, asymmetric time-delay compensation, and reliable self-evolution, solving the problems of strong coupling interference and control oscillations in the sintering process.

A single-axis MEMS gyroscope, comprising a substrate mechanism (A), wherein one or more gyroscope mechanisms (B) arranged in sequence in a Y-axis direction are connected to the substrate mechanism (A); each gyroscope mechanism (B) comprises two gyroscope units (C) arranged in the Y-axis direction; each gyroscope unit (C) comprises a reciprocating assembly (D) and two oscillating assemblies (E) symmetrically arranged on two sides of the reciprocating assembly (D) in an X-axis direction; each reciprocating assembly (D) comprises a drive frame (11) and a drive electrode (12); and each oscillating assembly (E) comprises a motion reversing member (21), a mass block (22) and a Coriolis force detection electrode (23). Adjacent drive frames (11) of a same gyroscope mechanism (B) are connected by means of a power reversing spring; adjacent motion reversing members (21) of a same gyroscope mechanism (B) are connected to a power reversing spring by means of a first decoupling spring (33); the drive frames (11) of different gyroscope mechanisms (B) are coupled; and all the mass blocks (22) of a same gyroscope mechanism (B) are coupled. The single-axis MEMS gyroscope has advantages such as high energy efficiency ratio, strong coupling and impact resistance.

The invention belongs to the technical field of unmanned aerial vehicle flight control, and discloses an unmanned aerial vehicle rapid composite control method and system based on fuzzy asymptotic. In the aspect of steady-state precision, the method breaks through the inherent limitation that traditional finite time control can only achieve bounded neighborhood convergence, and the reliability and execution capacity of the system in a high-precision task are remarkably improved. In the aspect of transient response, a nonlinear feedback mechanism in a fractional power form is introduced, so that the system can obtain a super-linear convergence rate in an initial stage or when encountering large-deviation disturbance. In terms of robustness and realizability, a structure combining low-pass filtering and dynamic error compensation is adopted in the method, and implementation difficulty caused by high-order differential calculation is effectively avoided; meanwhile, parameter perturbation, unmodeled dynamics, external wind disturbance and the like are estimated and compensated in combination with an adaptive fuzzy system, and the adaptive capacity and anti-interference performance of the system in a strong-coupling and nonlinear environment are remarkably enhanced.

The invention relates to a method for predicting a subsea pipeline vibration and local scouring coupling process, and belongs to the technical field of ocean monitoring. The method comprises the following steps: training a PINN model fusing structure vibration-flow field change-scouring development physical information, and finally, in the training process, through minimizing a neural network loss function, predicting the local scouring coupling process of a subsea pipeline. And training a PINN model fusing structural vibration-flow field change-scouring development physical information, and carrying out numerical simulation on the vortex-induced vibration and local scouring long-duration process of the elastic submarine pipeline. According to the method, physically-guided data learning is used for replacing data-driven physical solution, so that the physical reliability of traditional numerical simulation is reserved, and the high efficiency and generalization of a data model are achieved. For the engineering problems of high risk, difficult monitoring and strong coupling such as subsea pipelines, a rapid tool can be provided for multi-scheme comparison and selection in the pipeline design stage, and a feasible technical path can be provided for vibration-scouring risk real-time early warning in the operation stage.

The application relates to the technical field of industrial automation control, and discloses an impedance control method and system based on an AI Agent and an MCP architecture, wherein the method comprises the following steps: acquiring user-side multi-modal test demand data and circuit board engineering data; constructing a standardized demand constraint set; constructing a three-level atomic capability service architecture; generating a standardized test context; generating a candidate action sequence of multiple test heads in parallel; performing safety checking through a multi-sub-proxy cross-attestation mechanism; executing closed-loop adaptive parameter adjustment; and outputting an impedance test result. Compared with the prior art, the software modules are strongly coupled, the manual data conversion efficiency is low, and especially under the condition of multi-head cooperative operation, dynamic safety impedance control cannot be realized. Due to the layered atomic capability architecture constructed by the application, the separation control and adaptive optimization of demand understanding, process scheduling and physical execution are realized, and the impedance test efficiency and industrial safety reliability are improved.

The application discloses a millimeter wave movable array beam training method based on quantum correlation simulated annealing, and relates to the technical field of wireless communication.The application proposes a quantum correlation simulated annealing (QCSA) algorithm aiming at the high-dimensional, non-convex and strongly coupled beam-array position joint optimization problem caused by the movable array, and adopts an alternating optimization framework to decompose the joint optimization problem into iterative solving of the transmitting and receiving subspaces; in each subspace optimization, the physical correlation between parameters is learned through Gaussian sampling based on an adaptive covariance matrix, the global search capability is enhanced by using an acceptance criterion containing a thermodynamic term and a quantum tunneling term to escape from a local optimum, and a periodic oscillation thermal scheduling strategy is adopted to dynamically balance exploration and utilization, so that the application has the characteristics of low overhead, fast convergence and high robustness, and is suitable for 6G millimeter wave and terahertz movable array MIMO systems.

This invention provides a method and apparatus for constructing a safety envelope for a hovercraft, relating to the field of marine technology, and particularly to a technology for assessing and controlling ship navigation safety. More specifically, this invention discloses a method for constructing a safety envelope for a hovercraft that considers multi-degree-of-freedom coupling for different sea states. The method for constructing the safety envelope of a hovercraft includes: obtaining a preset four-degree-of-freedom motion model of the hovercraft, wherein the four-degree-of-freedom motion model is used to characterize the coupling relationship of the hovercraft's sway, roll, heel, and yaw motions; for at least one preset sea state, based on the four-degree-of-freedom motion model, systematically traversing a set of coupled state parameters including longitudinal motion, lateral motion, heel motion, and rotational motion, and judging the motion stability under each parameter combination to determine a set of stable state boundaries under the sea state; and generating a multi-dimensional safety envelope that characterizes the intrinsic correlation of the multiple coupled state parameters and corresponds to the sea state based on the set of stable state boundaries. Through the above steps, this invention can comprehensively consider the high-order nonlinear strongly coupled motion characteristics of the hovercraft and external environmental interference, thereby comprehensively constructing its high-dimensional safety envelope.