The Use Of Diagnostic And Restructuring Methods To Build Reliable Management Systems,
2025
Tashkent State Technical University. Address: 2 Universitet st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998-90-325-85-55.
The Use Of Diagnostic And Restructuring Methods To Build Reliable Management Systems, Khurshid Salim Ugli Turayev
Chemical Technology, Control and Management
This article is devoted to the applied analysis of diagnostic and restructuring methods aimed at ensuring the reliability of control systems in the event of failures. The paper considers practical implementations of diagnostic and control algorithms using a servo drive setup as an example. The results of experiments are presented, demonstrating the system's behavior under various fault conditions. A comparative analysis of the effectiveness of the proposed solutions is carried out in terms of stability and operational accuracy. The obtained data confirm the feasibility of using adaptive control structures to increase the fault tolerance of technical systems. The article concludes …
Modern Significance And Development Trends In The Production Of Vegetable Oils,
2025
Tashkent State Technical University. Address: 2 Universitet st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +99897-430-13-76.
Modern Significance And Development Trends In The Production Of Vegetable Oils, Umidjon Ruziev, F.O. Qosimov, M.K. Shodiev
Chemical Technology, Control and Management
This article provides a comprehensive analytical review of the current state of the global vegetable oil production market. It describes the diversity of raw materials supplied, which includes both traditional and emerging fat sources. The paper also describes the technological stages of production, emphasizing modern innovations that contribute to more efficient, high-quality, and safe production. The article also covers global trends by comparing production dynamics between countries, highlighting regions with the highest rates of production growth and explaining the reasons for their competitive advantages. Particular attention is paid to environmental and socio-economic aspects, including sustainable land use, certification, carbon footprint, …
Investigation Of The Fuel Combustion Process In Gas-Fired Furnaces For Automation Systems,
2025
Tashkent State Technical University. Address: 2 Universitet st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected];
Investigation Of The Fuel Combustion Process In Gas-Fired Furnaces For Automation Systems, N.R. Yusupbekov, Sh.M. Gulyamov, A.T. Rajabov, U.U. Kholmanov
Chemical Technology, Control and Management
The regularities of the combustion process of gaseous fuel in chamber furnaces are described. This process represents a homogeneous reaction in which there is no distinct boundary surface between the fuel and the oxidizer. It is shown that the latter either mix and then burn subsequently, or both processes occur simultaneously, corresponding respectively to kinetic and diffusion combustion. The structure of a turbulent-diffusion flame of gaseous fuel combustion is presented.
Development Of Fire Prediction And Prevention Digital System Algorithms,
2025
Tashkent state agrarian university, Tashkent, Uzbekistan. E-mail: [email protected].
Development Of Fire Prediction And Prevention Digital System Algorithms, Oybek Zokirovich Koraboshev
Chemical Technology, Control and Management
This research work is devoted to the development of algorithms for a digital system aimed at early detection, prediction and prevention of fire hazards. In the work, the process of fire hazard assessment is modeled on the basis of modern information technologies and artificial intelligence tools. The main focus is on collecting data in real time, analyzing it and creating algorithms that determine the level of danger. In the process of research, methods of data cleaning, normalization and determination of correlation between variables were used to process multidimensional data streams obtained from various sensors (temperature, smoke, gas concentration and humidity …
Algorithms For The Synthesis Of A Temperature Control System For The Inner Tube Heat Exchanger With A Steam Jacket,
2025
Tashkent state technical university, Tashkent, Uzbekistan. Address: str. University-2, 100095 Tashkent city, Republic of Uzbekistan;
Algorithms For The Synthesis Of A Temperature Control System For The Inner Tube Heat Exchanger With A Steam Jacket, H.Z. Igamberdiyev, Jasur Sevinov, U.F. Mamirov, Sh.M. Abdishukurov
Chemical Technology, Control and Management
The synthesis of a feedback propagation control law for an inner tube heat exchanger with a steam jacket is addressed in this text. A controller has been developed that, based on temperature measurements taken at four points. The maintains the output temperature at a specified level by acting on the steam jacket temperature. To determine the parameters of the plant, a linear quadratic optimal (LQ-optimal) algorithm is employed. In the considered case, the optimal controller includes a proportional–integral (PI) component, as well as an additional term that requires storing the control input over the current interval for its computation. The …
Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems,
2025
Tashkent State Technical University named after Islam Karimov. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998-88-700-52-68;
Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems, Isamidin Khakimovich Siddikov, Davronbek Abdalimovich Khalmatov, Gulchekhra Rakhimjanovna Alimova, Dilnoza Rakhmanovna Khushnazarova
Chemical Technology, Control and Management
The paper considered the problems of researching the stabilisation system and backstepping control of stochastic nonlinear systems. The characteristics of stochastic nonlinear dynamic control systems are random signals with normal lawful distribution, which significantly complicates task control. In stochastic control, it is necessary to determine the trajectories of the control variables in order to achieve the desired control objective at minimum cost. Since the mathematical equations of stochastic nonlinear systems are not always constant, not every model-based controller can be accurate. Therefore, in this work, a neuro-fuzzy network is used to evaluate the parameters of the control system with backstepping, …
Reinforcement Learning In A Virtual World: A Study Of Ppo And Sac Within Unity Ml Agents,
2025
Azerbaijan State Oil and Industry University. Address: Azadliq Avenue 34, AZ1010, Baku, Azerbaijan E-mail: [email protected].
Reinforcement Learning In A Virtual World: A Study Of Ppo And Sac Within Unity Ml Agents, Rufat Mammadzada
Chemical Technology, Control and Management
This study explores the use of Unity3D as a versatile platform for developing, training, and evaluating intelligent agents through reinforcement learning. Leveraging the Unity ML-Agents Toolkit, a dynamic 3D environment was created to examine agent learning behavior using two advanced algorithms: Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). The simulation environment consisted of navigable terrain bounded by red borders, with collectible blue balls serving as rewards and a purple cube representing the agent. A carefully designed reward system was implemented to encourage goal-directed behavior and penalize inefficiency, while time constraints introduced an additional challenge requiring both precision and speed. …
Pricing Strategies In Global Channels: Considering The Effects Of Parallel Trade,
2025
Singapore Management University
Pricing Strategies In Global Channels: Considering The Effects Of Parallel Trade, Yuan-Mao Kao, Yang Yang, Shih-Fen Cheng, Cheng-Hung Wu
Research Collection School Of Computing and Information Systems
Pricing a global product differently across multiple regions is a common but controversial practice. Although price differentiation helps capture unique market characteristics, it also encourages parallel trade, which may affect the overall corporate performance of a global company. We study this problem with a single global business unit (GBU) and multiple local business units (LBUs). The GBU manufactures a product and sets a transfer price for supplying the product to all LBUs, and LBUs decide retail prices for their respective regional markets. Customers can purchase products in any region by comparing LBUs’ prices and other parallel-imported factors, and we construct …
Use Of Polymer Fiber To Improve Mechanical Properties Of Hma Containing Recycled Asphalt Pavement (Rap),
2025
California Polytechnic State University, San Luis Obispo
Use Of Polymer Fiber To Improve Mechanical Properties Of Hma Containing Recycled Asphalt Pavement (Rap), Ashraf Rahim, Shadi Saadeh, Hani Al Zaraiee
Mineta Transportation Institute
A great percentage of highways and roads in California are constructed with Hot Mix Asphalt (HMA), and, as California infrastructure ages, these highways and roads must be maintained and rehabilitated. Reclaimed Asphalt Pavement (RAP) is considered an excellent alternative to virgin (raw, unprocessed) materials because it reduces the use of virgin aggregate and binder. Also, the use of RAP decreases the amount of construction waste placed into landfills. This laboratory study investigated the effect of two different commercial polymer fibers on the mechanical properties of HMA with RAP. Three different HMA with RAP mixes were used in the study. One …
Process-Driven Manufacturability Constraints In Design For Wire Arc Additive Manufacturing,
2025
The University of Texas Rio Grande Valley
Process-Driven Manufacturability Constraints In Design For Wire Arc Additive Manufacturing, Monsuru Ramoni, Sampson Gholston, Albert E. Patterson
Manufacturing & Industrial Engineering Faculty Publications
Wire arc additive manufacturing (WAAM) has emerged as a useful option for large-scale metal additive manufacturing. It has gained widespread use in the aerospace industry and other applications that require large and complex custom parts. The process is a combination of a precise control system and a welding process, typically GTAW or MIG welding. It is a member of the directed energy deposition (DED) family of AM processes. Compared with many metal AM processes, it is relatively simple and cost-effective but almost always requires a significant amount of postprocessing before parts can be used. The AM-based nature of the process …
Utilizing Ensemble Learning Techniques To Enhance Corn Price Prediction: A Case Study On South Dakota,
2025
Dakota State University
Utilizing Ensemble Learning Techniques To Enhance Corn Price Prediction: A Case Study On South Dakota, Youssef Harrath, Jihene Kaabi, Ethan Price
Research & Publications
Predicting crop prices is a complex challenge that farmers must navigate each year, but machine learning algorithms can provide valuable insights to support more informed decision making. In recent years, agricultural price prediction models have made significant advances, with architectures achieving varying degrees of success. However, ensuring the accuracy and reliability of these models remains an ongoing challenge. This research explores the use of stacking, an ensemble learning technique, to enhance the performance of base models in predicting corn prices in many regions of the state of South Dakota in the USA. We propose a hybrid architecture that combines Long …
Shifted Frequency Analysis Hybrid Simulation Algorithm Based On Multi-Rate Asynchronous Coordination,
2025
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Shifted Frequency Analysis Hybrid Simulation Algorithm Based On Multi-Rate Asynchronous Coordination, Yankan Song, Libin Wen, Ying Chen, Jinji Xi, Haoyuan Zhang, Li Xiong
Journal of System Simulation
Abstract: Large-scale AC/DC power systems exhibit complex dynamics across multiple time scales, and existing hybrid simulations suffer from interface delays and frequency losses during multi-rate coordination, compromising accuracy. To address this issue, a multi-rate asynchronous coordination method was proposed to construct hybrid simulations using shifted frequency analysis (SFA). Within the multi-area Thevenin equivalence (MATE) framework, the algorithm introduced an interpolation-based asynchronous coordination mechanism, effectively eliminating interface delays; by extending SFA theory and designing a universal interface model, it achieved lossless data exchange between partitions with different rates and model types. Case studies on an AC/DC test system demonstrate that …
Soft Sensor Modeling Based On Improved Transformer In Dual-Stream Framework,
2025
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Soft Sensor Modeling Based On Improved Transformer In Dual-Stream Framework, Hao Gu, Jiayu Wang, Weili Xiong
Journal of System Simulation
Abstract: Industrial process information is highly nonlinear and dynamic, with long-term dependencies between data, making it difficult to adequately extract time-series features. To address this issue, an improved Transformer-based soft sensor model in a dual-stream framework was proposed. The data were segmented and expanded. The features were extracted in parallel using a dual-stream structure combining a convolutional neural network with a self-attention mechanism and the improved Transformer model. The dual-stream features were fused for soft sensor regression. Residual connections were further introduced to accelerate the convergence speed of the model, and an orthogonal random features-based improved multi-head attention mechanism was …
Path Planning Of Improved Rrt Algorithm Based On Deep Reinforcement Learning,
2025
College of Electrical Engineering, North China University of Science and Technology, Tangshan 063210, China
Path Planning Of Improved Rrt Algorithm Based On Deep Reinforcement Learning, Xiuman Liang, Ziliang Liu, Zhendong Liu
Journal of System Simulation
Abstract: To address the low planning efficiency, poor safety, and limited practicability of the RRT algorithm in global path planning within complex three-dimensional environments, which fail to meet the requirements of planning the safe flight path of UAVs, an improved SAC-RRT algorithm was proposed, which fused SAC deep reinforcement learning algorithm and RRT algorithm. A target point bias strategy and a dynamic step size based on the SAC decision-making network were designed to reduce the blindness of RRT. A random point correction process was designed to optimize the position of random points based on actions from the decision network and …
Low-Energy Multi-Robot Path Planning Algorithm Under Hca* Framework,
2025
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
Low-Energy Multi-Robot Path Planning Algorithm Under Hca* Framework, Ning Wang, Jianlin Mao, Dayan Li, Chengyuan Fang, Chengze Qian
Journal of System Simulation
Abstract: To address the energy optimization problem in multi-robot path planning, this paper proposed a multi-robot path planning algorithm based on the energy-guided hierarchical cooperative A* (E-HCA*) algorithm. To address the issue of robot oscillations caused by mutual avoidance at bottlenecks and narrow passages in multi-robot systems, a node expansion method with path length as a secondary feature was introduced, and a greedy suppression strategy under the cooperative A* framework was proposed. A differential-drive robot energy consumption model was established, and an energy-guided heuristic function was constructed by integrating energy metrics into the underlying A* algorithm to guide low-energy path …
Multi-Objective Optimization Of Signal Timing At Intersections Considering Tailpipe Emissions,
2025
College of Civil Engineering, Liaoning Technical University, Fuxin 123000, China
Multi-Objective Optimization Of Signal Timing At Intersections Considering Tailpipe Emissions, Xinhuan Ding, Huaqing Wang, Xu Dang
Journal of System Simulation
Abstract: In order to alleviate urban road congestion and improve the traffic and environmental benefits at intersections, a multi-objective timing optimization model with total delay time, total number of stops, capacity, and total tailpipe emission at intersections as optimization objectives was developed. The model incorporated tailpipe emissions into a mathematical optimization model and quantified the mathematical relationship between traffic efficiency indicators and tailpipe emissions by constructing a specific power-based algorithm for measuring total tailpipe emissions. According to the intersection delay time and the number of stops, the total tailpipe emissions could be estimated. Both the NDX crossover operator and the …
Multisource Information Fusion Method For Human Gait Perception,
2025
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
Multisource Information Fusion Method For Human Gait Perception, Guiliang Chen, Guowei Liu, Yongchao Li, Chao Cai, Zihao Li, Dong Yang
Journal of System Simulation
Abstract: In response to the insufficient gait perception capability during lower limb exoskeleton assistance, a human lower limb gait phase optimization classification model was proposed. A wireless transmission gait information collection system was designed for collecting the required gait phase feature information. Human joint angles were accurately calculated by fusing acceleration and angular velocity information using extended Kalman filtering. Additionally, kernel principal component analysis was applied to reduce dimensionality in conjunction with plantar pressure data. The LSSVM algorithm was employed to classify gait data, and the PSO algorithm was utilized to find the optimal classification parameters. Experimental results demonstrate that …
Optimal Scheduling Of Integrated Energy Systems Considering Source-Load Uncertainty And Linear Carbon Trading,
2025
College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Optimal Scheduling Of Integrated Energy Systems Considering Source-Load Uncertainty And Linear Carbon Trading, Huaping Zhong, Yubo Fan, Jijun Shui, Danhao Wang, Daogang Peng
Journal of System Simulation
Abstract: In order to overcome the impact of source-load uncertainty on the scheduling of integrated energy systems (IES) and reflect the flexibility of the carbon trading price with the change in trading volume, an optimal scheduling method for integrated energy systems considering source-load uncertainty and linear carbon trading was proposed. The equipment within the IES was modeled, and nonparametric kernel density estimation was used to obtain the probability density function for each time period, generating the set of scenes through Monte Carlo simulation and calculating the probability of each scene. For the time shift of wind and solar output peaks …
Simulation Of Three-Degree-Of-Freedom Internal Mode Sliding Mode Control For Non-Ideal Single-Inductor Dual-Output Boost Converter,
2025
School of Physics and Electronic Information, Guangxi Minzu University, Nanning 530006, China
Simulation Of Three-Degree-Of-Freedom Internal Mode Sliding Mode Control For Non-Ideal Single-Inductor Dual-Output Boost Converter, Bingli Liu, Jiarong Wu, Lin Yang, Dinglin Yan
Journal of System Simulation
Abstract: To reduce the cross-interference in the single-inductor dual-output (SIDO) Boost converter and to enhance the output accuracy and stability of the system, the parasitic resistances of the circuit components were considered, and a three-degree-of-freedom internal model sliding mode control strategy was proposed for the non-ideal SIDO Boost converter. An affine nonlinear mathematical model of the non-ideal SIDO Boost converter was established, and the nonlinear system was linearized and decoupled into two linear subsystems based on the differential geometry theory. The linear subsystem was designed as a three-degree-of-freedom internal model controller and a sliding mode controller, respectively. The robustness …
A Novel Joint Training Simulation Evaluation Framework And Its Key Techniques,
2025
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
A Novel Joint Training Simulation Evaluation Framework And Its Key Techniques, Rusheng Ju, Dongdong Chen, Yunxiu Zeng, Jiyuan Liu, Sihang Qiu, Peng Zhou
Journal of System Simulation
Abstract: To address the challenges of traditional evaluation systems, such as internal module coupling, lack of reusability, and poor adaptability to multi-domain evaluation needs, a three-tier decoupled technical evaluation framework of "data + service + application" was designed. A strategy was proposed for extracting high-value information from massive audio and video data based on key events, resolving the problem of unstructured evaluation data processing. A design method combining general and dedicated evaluation model templates was proposed, improving the general applicability of the evaluation model. An expert knowledge-driven comprehensive integrated discussion and evaluation environment was constructed using qualitative and …
