60 results about "Real-time Control System" patented technology

The invention relates to the technical field of bridge construction equipment, and discloses a bridge fabrication machine walking attitude real-time control system based on multi-sensor fusion, and the system comprises a heterogeneous sensing and data collection module which obtains the kinematics and structural strain data of a bridge fabrication machine in real time; the offline modeling and calibration module is used for pre-establishing an initial dynamic model and a key mapping relation; the online state estimation and model self-adaption module is used for performing state estimation, model correction and disturbance identification and outputting comprehensive state information; the multi-constraint predictive control decision module is used for solving an optimization problem containing structural security constraints and generating an optimal control instruction; and the execution and feedback module analyzes the optimal control instruction to drive an execution mechanism and adjust the attitude to form a real-time closed loop. According to the invention, a scheme of fusing multi-source data and carrying out online adaptive model correction is adopted, and the fundamental defect that the control precision is obviously reduced along with time lapse and environment change due to the fact that the model is not matched with an actual system state is overcome.

The described techniques address issues related to compatibility and cost-effectiveness of in-vehicle networks. The described techniques may utilize security Ethernet-based protocols, for example, without the need to exchange separate key agreement messages and, consequently, meet the stringent starting time requirements for real-time control systems. Additionally, a membership tracking solution may be implemented in which each node within a membership group may request, or “challenge” other nodes with the same group to verify their online status, and this online status may be maintained over time. Finally, a transmission queue management process is described that deletes queued messages only when it is determined that every intended recipient node received the message, thereby providing atomicity. Retained queued messages may then be re-transmitted in accordance with a transmission schedule.

The invention discloses a six-degree-of-freedom magnetic suspension workbench structure and a control method thereof, belongs to the technical field of magnetic suspension workbenches, and aims to solve the problems that the stroke of a traditional workbench is difficult to expand, the modeling precision is low, and the influence of a coil edge effect is large. The magnetic suspension workbench structurally comprises a stator capable of being spliced with a PCB coil array, a rotor of a symmetric two-dimensional Halbach permanent magnet array, a data processing module with an information fusion function and an H-bridge-containing driving and real-time control system. According to the control method, a high-precision electromagnetic force model is established, a magnetic field area is divided, a compensation coefficient is introduced to correct an end effect, a pseudo-inverse method based on least square is adopted to decouple and calculate the size of a driving current, and the saturation suppression of the current and the dynamic gating of the coil are realized in combination with a current calculation result; the method can be applied to the fields of precision machining and micro-nano manufacturing, and high-precision long-stroke motion control is achieved.

The invention discloses a tire electromagnetic induction heating system control method based on multi-physics field coupling simulation. The method comprises the following steps: carrying out multi-physics field coupling simulation modeling; performing system optimization analysis; deploying a real-time control system; and performing performance verification and iterative optimization. According to the method, control over the complex physical process is achieved through multi-physics field coupling simulation, a closed-loop coupling system of physical entity-digital twinborn body-intelligent optimization-real-time control is constructed, data two-way circulation and state real-time synchronization are achieved, and the accuracy and timeliness of system regulation and control are improved; the global optimization of the system performance is realized by adopting a multi-objective optimization method, and the problem of local optimization is avoided; and through deep integration of a digital twinning technology and real-time control, predictability and controllability of the production process are realized, and the tire quality is remarkably improved.

The invention relates to the technical field of control and adjustment, and discloses a real-time control system and method for the production progress of an intelligent manufacturing platform, and the system comprises an information extraction module, a data packaging module, a state sequence module, a progress association module, a progress deviation module and a cooperative control module, and is used for obtaining multi-source heterogeneous data and a scheduling resource set of the intelligent manufacturing platform; packaging the multi-source heterogeneous data to obtain a production live set; mapping the production live set to a production element sequence of an intelligent manufacturing platform to obtain a production state sequence; extracting an evolution vector and a scheduling vector in the production state sequence to obtain a progress association vector pair; forward iteration is carried out on the progress offset between the progress association vector pairs based on process parameters in the scheduling vector, and a deviation vector of the intelligent manufacturing platform is obtained; performing collaborative optimization on the scheduling resource set based on the deviation vector to obtain a collaborative control sequence of the intelligent manufacturing platform; according to the invention, the accuracy and efficiency of real-time control of the production progress of the intelligent manufacturing platform can be improved.

The invention discloses a driving simulator motion prompting algorithm based on deep reinforcement learning. According to the method, a motion prompt control problem is modeled into a Markov decision process including a platform physical state, vehicle reference motion sensation and platform motion sensation; a near-end strategy optimization algorithm is adopted, a deep neural network intelligent body is trained to learn an optimal control strategy through a multi-target reward function fusing vestibular perception errors, working space boundaries and action smoothness, and the optimal control strategy is deployed in a real-time control system. Experiments show that the method ensures millisecond-level real-time calculation, meanwhile, the average error reproduced by motion feelings in each axial direction is reduced by about 13.6% compared with a model prediction control method and is reduced by about 42.4% compared with a classic wash-out filtering method, and the method has good universality and expansibility.

The application relates to the technical field of automatic sunshade of sunshades, and proposes a full-automatic sunshade based on sun azimuth and shadow identification and a use method thereof, which comprises a handle and a supporting handle, a connecting seat is fixedly installed on the handle, a fixing seat is fixedly installed on the connecting seat, a supporting seat is fixedly installed on the supporting handle, and the connecting seat, the fixing seat and the supporting seat are all triangular prism structures. Through the multi-sensor fusion technology of a gyroscope, an illumination sensor and a camera, in combination with a real-time control system, the sunshade can continuously keep the sunshade surface shadow coinciding with the human body without manual change of the handle direction, the sunshade precision is remarkably improved, the problem that a local body is directly irradiated by sunlight is effectively avoided, and the automatic adjustment of the sunshade surface direction is realized.

The application belongs to the technical field of spacecraft ground simulation test, and discloses a high-precision space GNC full-physical simulation test platform, which is composed of a three-dimensional motion execution system, a distributed real-time control system, a capture interaction simulation system, a safety protection system and a three-dimensional motion simulation and path planning system, and through integration of a three-dimensional orbital large-range motion execution system and a double-grating scale closed-loop detection structure, the simulation motion range is significantly expanded, the technical bottleneck of the existing platform limited to a single shaft, a two-dimensional slide rail and a limited motion amplitude is broken through, the platform realizes high-precision cooperation of a motion control system and an orbit system, can satisfy space high-dynamic motion simulation of a large-size, high-inertia complex target, through integrated design of the capture interaction simulation system, supports autonomous tracking of a target flight path, flexible capture of a flying claw and verification of small multi-degree-of-freedom control, and can effectively simulate complex tasks such as space rendezvous and docking, target capture and micro-force control.

This invention discloses a remote real-time control system for ceramic membrane magnetic filtration based on the Internet of Things (IoT). The system comprises a sensing layer, an edge computing layer, a cloud control layer, a user interaction layer, and a modular access unit. The sensing layer, centered on a gradient field permanent magnet magnetic filtration module, integrates a Hall sensor array, an electromagnetic flowmeter, and a temperature sensor to collect key data such as magnetic saturation index, syrup flow rate, and liquid temperature in real time, achieving comprehensive perception of the ferromagnetic impurity capture status and raw material parameters. The gradient field permanent magnet magnetic filtration module is connected in series with the syrup delivery pipeline and includes a multi-stage detachable magnetic rod assembly, a Hall sensor array, a servo rotating sleeve, and a slag discharge channel. Compared to traditional iron removal equipment, this IoT-based remote real-time control system for ceramic membrane magnetic filtration is specifically designed for the characteristics of high-sugar, high-acid liquids. The gradient field magnetic circuit improves the capture efficiency, stably controlling the iron content below 0.3 ppm, effectively preventing product blackening, sedimentation, and a metallic taste.

The application relates to a distributed real-time control system and method based on TSN and FPGA. The system comprises a TSN module, a plurality of data acquisition modules and a plurality of control output modules, the TSN module is used for receiving control instructions sent by a superior processing system and forwarding the control instructions to the data acquisition modules and the control output modules in a pipeline form through a high-speed interface, and is used for receiving acquisition data returned by each data acquisition module and each control output module through the high-speed interface and transmitting the acquisition data to the superior processing system; the data acquisition module is used for acquiring data according to data acquisition messages in the received control instructions and transmitting the acquired data to the TSN module in a pipeline mode; and the control output module is used for performing real-time control on external equipment according to control output messages in the received control instructions and transmitting feedback signals to the TSN module in a pipeline mode. The system can meet the demand of modern industry for efficient and accurate control.

The invention relates to the technical field of vehicle-mounted communication control, and provides a vehicle-mounted communication control system and device based on a FlexRay bus, and the system executes the following steps: configuring a communication node module in a first time slot of a main communication channel through a main controller, writing real-time control data, and executing a real-time control instruction, meanwhile, non-real-time control data generated based on the real-time control data is written in a second time slot to execute a non-real-time control instruction; activating a new time slot in the subordinate communication channel and configuring a communication node module; and the main controller starts a synchronization mechanism, acquires non-real-time data from the storage unit when the main channel occupies the first time slot, writes the non-real-time data into the subordinate channel to execute non-real-time control, and acquires real-time data to execute real-time control when the main channel occupies the second time slot. The system also has protocol conversion, data verification and storage functions, and realizes periodic switching through the time slot switching module. According to the invention, the reliability and response speed of vehicle-mounted communication can be improved, and the flexibility and safety of the system are enhanced.

The application provides a dual-target optimization decision method for a slag cooling process, and belongs to the technical field of industrial production process optimization. The method collects historical slag cooling data and performs preprocessing, and uses a multiple linear regression model to predict the temperature and cooling time after cooling. A dynamic weighted objective function is further constructed, and a hybrid algorithm (a combination of genetic algorithm, particle swarm algorithm and reinforcement learning algorithm) is used to solve the optimal control parameters. Finally, the optimal control parameters obtained are integrated into a real-time control system, and the control parameters are dynamically adjusted according to the real-time monitoring data to realize dual-target optimization of the cooling time and the furnace temperature fluctuation. The application adopts the above-mentioned dual-target optimization decision method for the slag cooling process, which can effectively improve the efficiency and stability of the slag cooling process, reduce energy consumption, and has significant economic and environmental benefits.

The described techniques address problems related to the compatibility and cost-efficiency of onboard networks. For example, they can utilize Ethernet-based security protocols without the need to exchange separate key agreement messages, thus meeting the stringent startup time requirements for real-time control systems. Additionally, a membership tracking solution can be implemented, allowing each node within a membership group to request or "challenge" other nodes in the same group to verify their online status, and this online status can be maintained over time. Finally, a transmission queue management process is described that deletes pending messages only after it has been determined that every intended receiver node has received the message, thereby providing atomicity.Held messages can then be retransmitted according to a transmission schedule.

The invention discloses an LED intelligent street lamp real-time control system based on edge calculation, and the system comprises an edge data processing module which is used for collecting brightness feedback and multi-source input preprocessing in a control box to obtain a sample window set; the space cooperation feature construction module is used for generating an adjacent matrix and calculating a space lag brightness sequence and a diffusion input sequence; the exogenous function self-organization generation module is used for constructing GMDH nodes, performing square parameterization on strong influence coefficients and obtaining an exogenous function sequence according to the sequence of interpretation and combination; the space-time prediction and structure updating module is used for constructing space-time SARIMAX and writing back a foreign function structure according to an information criterion; and the dimming control module is used for issuing a dimming instruction according to the target brightness reference value and returning feedback. Prospective dimming of the edge side street lamp is achieved, the fluctuation and instruction frequency is reduced, and the consistency is improved.

The invention discloses a road bridge expansion joint welding device, which belongs to the technical field of road bridge expansion joint welding and comprises a welding system body and a real-time control system arranged in the welding system body. The real-time control system comprises an arc voltage / current sensor module, a signal conditioning and collecting module, a main controller module, a welding power source interface module, a degaussing coil driving module, a robot servo driving module, a man-machine interaction and monitoring module and an offline calibration data storage module. The output end of the arc voltage / current sensor module is connected to the input end of the signal conditioning and collecting module. According to the method, welding arc signals are collected to recognize magnetic deflection blow, the deflection angle and magnetic field distribution are dynamically calculated, measures such as pulse modulation, active demagnetization or track compensation are adopted for autonomous decision, the incomplete fusion defect caused by residual magnetism is eliminated, the anchoring welding quality is ensured, and early brittle failure and failure caused by hidden danger welding spots are avoided.

This invention provides a real-time control system and method for a humanoid robot that integrates electromyography (EMG) and monocular vision, relating to the field of multimodal humanoid robot control technology. The system includes a posture data acquisition system, an EMG data acquisition system, an EEG data acquisition system, a computer system, a data transmission module, and a humanoid robot. The posture data acquisition system acquires two-dimensional motion videos of the user's entire body; the EMG data acquisition system acquires EMG signals from the user's arm movements; the EEG data acquisition system acquires EEG signals from the user's motor imagery; the computer system converts the received two-dimensional motion videos, arm movement EMG signals, and motor imagery EEG signals into corresponding control commands to control the humanoid robot to perform corresponding actions. This system and method integrate multiple information sources, enabling precise control of the humanoid robot's major joint movements using monocular vision information and precise control of the humanoid robot's hand and wrist movements using EMG information.

The invention relates to a message forwarding method and device and computer equipment, and the method comprises the steps: obtaining the queue depth of a message queue after a queue leaving event for a control instruction in the message queue of a control end is detected; and if the queue depth is greater than or equal to the congestion threshold, splicing the control instructions in the message queue to obtain a spliced message, and sending the spliced message to a controlled end in the real-time control system. According to the scheme, by detecting the relationship between the queue depth and the congestion threshold, the control instruction is spliced and sent when the queue is about to be congested or is congested, so that the calling frequency of a network sending interface is reduced, the performance overhead of system calling is reduced, the message forwarding speed is increased, the message tail discarding phenomenon caused by congestion of the message queue is avoided, and the service life of the message queue is prolonged. The functions of queue caching and time delay jitter absorption are recovered, and stable operation of a real-time control system is guaranteed.

The invention discloses a light-wire-powder three-beam coaxial self-adaptive laser melting forming method and device, and relates to the technical field of metal additive manufacturing and laser welding. A high-precision real-time control system is started, and multi-source signals of a molten pool area are collected in real time through a monitoring module; transmitting a multi-source signal acquired by the monitoring module to a central processing unit, and establishing a mapping relation model of monitoring characteristics and process quality; based on the output of the mapping relation model, the laser power, the wire feeding speed and the powder feeding rate are fed back and controlled in real time; and repeating the self-adaptive regulation and control step to realize the whole-process self-adaptive closed-loop control of the whole forming path. The light-filament-powder three-beam coaxial self-adaptive laser melting forming method and device have the advantages of being good in collaboration and multiple in regulation and control dimension, online real-time closed-loop control in the manufacturing process can be achieved, and the problems of poor forming and component control in non-uniform gap repair and functionally graded material preparation are solved.

The utility model relates to a communication analog-to-digital hybrid bridge, which comprises a radio frequency front end, an ADC / DAC conversion module, a DSP module and a protocol conversion module, the protocol conversion module is provided with a multi-protocol interface, and the multi-protocol interface is connected with the ADC / DAC conversion module through a dual-channel JESD204B interface; and the protocol conversion module is connected with the DSP module through a SerDes deserializer. According to the utility model, the bandwidth and delay bottleneck of the traditional discrete chipset is broken through, the five-mode signal synchronous processing is supported, the end-to-end delay is less than or equal to 8 microseconds, and the five-mode signal synchronous processing circuit is suitable for a high-density radio frequency front end and an industrial real-time control system.

A control system for a wedge-shaped energy degrader includes a system board, a motion board, a stepper motor driver, a stepper motor, and the wedge-shaped energy degrader. This control system ensures that the energy degradation response time for each level of the energy degrader is faster than that of a multi-wedge energy degrader, completing energy switching within 50 milliseconds. The wedge-shaped energy degrader comprises a pair of angled wedge-shaped graphite energy degrading sheets. The length or distance traveled by the pair of angled wedge-shaped energy degraders is several times that of the multi-wedge energy degrader or the distance traveled by the multi-wedge energy degraders, and their width is the same as the sum of the widths of the multi-wedge energy degraders. This invention organically combines DDS communication, a VxWorks embedded real-time control system, and an S-curve algorithm module, solving the problem that the increased size of existing wedge-shaped energy degraders, resulting in a length or distance traveled several times greater than that of multi-wedge energy degraders and a significantly slower response time, is a major drawback.

The invention discloses a bionic mechanical head real-time control system based on a distributed CAN bus. The bionic mechanical head real-time control system comprises a distributed hardware structure, an SYNC system and a software algorithm. The distributed hardware structure is of a three-level CAN bus cascade structure and comprises a main control module, a sensor module and a motor driving module, and all the modules are connected through differential signal lines. A software algorithm covers RTOS task scheduling and a multi-mode control strategy, a motor driving module adopts a distributed design, each joint is provided with an independent driving unit, and an instruction of the main control module is received through a CAN bus. The controller is an incremental PID (Proportion Integration Differentiation) controller and also adopts an S curve acceleration and deceleration algorithm. The sensor module integrates various sensors and is attached to the curved surface of the mechanical head through a flexible circuit board. The motor driving module adopts an H-bridge circuit and is integrated with the CAN transceiver. The system can simplify wiring, improve expansibility and real-time performance, reduce mechanical shock and noise, enhance anti-interference capability, prolong the service life of a mechanical structure, and improve operation reliability and adaptability.

This invention discloses a three-beam coaxial adaptive laser melting and forming method and apparatus, relating to the fields of metal additive manufacturing and laser welding technology. The method includes: activating a protective gas system; starting a high-precision real-time control system, acquiring multi-source signals from the molten pool region in real time through a monitoring module; transmitting the multi-source signals acquired by the monitoring module to a central processing unit to establish a mapping relationship model between monitoring features and process quality; based on the output of the mapping relationship model, real-time feedback control of laser power, wire feeding speed, and powder feeding rate; and repeating the adaptive control steps to achieve full-process adaptive closed-loop control of the forming path. This invention employs the aforementioned three-beam coaxial adaptive laser melting and forming method and apparatus, which has the advantages of good synergy and multiple control dimensions, enabling online real-time closed-loop control of the manufacturing process and solving the problems of uneven gap repair and forming defects and composition control in the preparation of functionally graded materials.

A power distribution method for a redundant electric drive system. The method comprises: on the basis of drive objectives on shafts and states and parameters of batteries and electric motors, determining constraint levels of the batteries, so as to set the maximum power of each battery pack; calculating an optimal power configuration of each battery pack, and on the basis of the optimal power configuration, setting a power matrix, a disturbance term and a target power vector; determining the constraint level of each electric motor, and on the basis of the constraint level, adjusting the power matrix and the disturbance term; on the basis of a full-rank condition for the power matrix and a rationality condition for a power distribution ratio, determining whether a rational power ratio can be obtained; if the conditions are not met, removing constraints layer by layer in ascending order until the conditions are met, otherwise, notifying an upper-layer controller or an upper-layer control module for processing; and on the basis of the obtained power ratio, calculating an output power of each electric motor. The method provides a general method for optimizing the power distribution of a redundant electric drive system under constraint conditions of different levels, thereby simplifying design and development, shortening development cycles and reducing costs; and calculation costs are low, and the method can be implemented in a real-time control system.

The invention relates to the technical field of laser communication, and discloses an optical transmit-receive system and transmit-receive method of a ground laser communication terminal, and the system comprises a rear light path transmit-receive and correction assembly and a real-time control system. The rear light path assembly is provided with a common-light-path main correction unit, and a wavefront sensing unit only receiving a light path and a residual error correction unit receiving the light path which are arranged behind the common-light-path main correction unit. The real-time control system executes decoupling control: on one hand, based on the actually measured residual wavefront of the wavefront sensing unit, the residual error correction unit is driven to realize closed-loop residual error zero setting of a receiving optical path; and on the other hand, the current atmospheric distortion is solved by using the actually measured residual wavefront and the main correction instruction of the previous period, so that the predicted wavefront for generating a transmitting path is predicted, and the common-optical-path main correction unit is driven to apply open-loop pre-distortion. According to the invention, decoupling and concurrent optimization of high-efficiency coupling of the receiving light path and accurate predistortion of the transmitting light path are realized.

The application relates to a laterite nickel ore hydrometallurgical pre-neutralization and real-time control system and method, the system includes: a pre-neutralization tank, a counter-current washing thickener, a detection tank, and a control device, the pre-neutralization tank is connected to the countercurrent washing thickener through the slurry discharge pipe, the detection tank is connected to the slurry discharge pipe and the washing inlet pipe of the counter-current washing thickener through the first detection pipe and the second detection pipe respectively, and the detection tank has a flocculant injector. The control device is used to obtain the flocculation and sedimentation effect signal in the detection tank and adjust the discharge flow rate of the slurry discharge pipe according to the flocculation and sedimentation effect signal. Compared with the prior technique, the system is provided with a detection tank between the pre-neutralization tank and the counter-current washing thickener, the pre-neutralized slurry and the washing water are input into the detection tank, and the flocculation and sedimentation effect is detected by using the control device, and the input flow rate of the pre-neutralized slurry is adjusted in time according to the sedimentation effect so that the pre-neutralized slurry maintains a good sedimentation effect when the countercurrent washing is carried out.

The application discloses a pressure reducing valve control method, device, equipment and storage medium. The method comprises the following steps: acquiring a hydraulic pressure difference, an end voltage and a target working time length of a pressure reducing valve under a target hydraulic environment; the target working time length is used for indicating the time length during which the pressure reducing valve can work under the target hydraulic environment; analyzing a control opening time length of the pressure reducing valve according to the hydraulic pressure difference, the end voltage and the target working time length to obtain the control opening time length; the control opening time length is the time length during which an excitation voltage is provided to the pressure reducing valve; and the excitation voltage is provided to the pressure reducing valve within the control opening time length. The application can quickly and accurately calculate the control opening time length of the pressure reducing valve under the target hydraulic environment in a real-time control system, and then the closing time of the pressure reducing valve can be quickly and accurately obtained, and further, the accuracy of pressure estimation of the hydraulic environment and control of the pressure reducing valve in the real-time control system can be improved.

The invention belongs to the core technical field of intelligent sensing and real-time control systems, and discloses a dynamic detection algorithm for a side wing air bag pressure sensor, which is characterized in that intelligent control innovation is realized, a multi-mode prediction control system is adopted, G force (10Hz sampling rate) is monitored in real time, navigation map data are fused to pre-judge curve strength, and 10ms-level response is realized by a linear electromagnetic valve. The problems that a traditional pressure detection system is high in false triggering rate, large in response delay, poor in environmental adaptability and the like are solved. Dynamic pressure monitoring with high precision, low delay and strong robustness is realized through innovative designs such as multi-modal sensing fusion, self-adaptive signal processing and an intelligent decision-making model.

The invention relates to the technical field of thin film material processing, in particular to a thin film air permeability online detection and punching linkage device which comprises a rack, a punching assembly, a control assembly, a flow guide assembly, a rotating assembly and a conveying assembly, the punching assembly is arranged on one side of the rack, and the control assembly is arranged on the other side of the rack; a punching assembly is arranged on one side of the rack, a flow guide assembly is arranged on the inner side of the punching assembly, a rotating assembly is arranged on one side of the rack, a conveying assembly is arranged on one side of the rack, and the punching assembly comprises a connecting roller, a flow guide cavity pipe, a negative pressure pipe, a laser displacement sensor, a fixing frame, an electric telescopic rod and a signal transmitter. According to the invention, the negative pressure type online detection unit and the rotary punching unit are coaxially integrated, so that each detection point and the corresponding punching needle head are kept at an extremely small distance, and a real-time control system is matched, so that quick response from deformation detection to punching depth adjustment is realized, the waste generation distance is shortened, and the waste of raw materials is reduced.

A system for time-controlled optimization and real-time control of dynamic systems under constraints, based on the time to loss of control, consisting of: a data acquisition module configured to receive real-time data from one or more technical sources representing the state of a monitored dynamic system; a preprocessing module connected to the data acquisition module and configured to process and filter the received real-time data to generate a structured representation of the current system state; a state prediction module connected to the preprocessing module and configured to receive the preprocessed data and, based on the structured representation of the current system state, calculate predicted future states of the monitored dynamic system over a defined time horizon;a Time to Loss of Control (TLC) module connected to the state prediction module and configured to compare predicted future states with predefined thresholds representing acceptable operating limits, determine a Time to Loss of Control (TLC) that represents an estimated time at which the monitored dynamic system is expected to reach an unstable or undesired state, and continuously updates the TLC as new real-time data becomes available;a constraint modeling module configured to identify operational constraints related to the monitored dynamic system, wherein the operational constraints include resource constraints, safety thresholds, and operating rules, and wherein the constraint modeling module is further configured to transform the operational constraints into a structured representation that defines a feasible set of permissible actions;An optimization module connected to the constraint modeling module, comprising a quantum processing unit configured to perform constrained optimization using energy minimization-based computational techniques to determine executable control actions within the remaining time until loss of control, wherein the optimization module is configured to determine one or more executable control actions that improve system stability based on the current system state, predicted future states, determined TLC, and structured representation of the operational constraints, wherein the one or more executable control actions are determined based on the remaining time until loss of control (TLC) such that only actions possible within this time window are considered;A control signal generation module connected to the optimization module is configured to convert the results of the optimization module into executable output signals, which are executed by a control execution module connected to the monitored dynamic system. After the signal is executed, control actions are automatically performed on the monitored dynamic system within the remaining time until loss of control.