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Speed Control of PMSM drive using Model Predictive Control Based Field Oriented Control
Published 2025-03-01“… This paper examines the enhancement of Permanent Magnet Synchronous Motor (PMSM) drives through the integration of Field-Oriented Control (FOC) with Model Predictive Control (MPC). …”
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642
Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controll...
Published 2025-08-01“…Participants randomized to the active control group, modeled after worksite wellness programs, receive all the elements described in addition to a static daily step goal and static point rewards. …”
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643
Multi-Objective Cooperative Adaptive Cruise Control Platooning of Intelligent Connected Commercial Vehicles in Event-Triggered Conditions
Published 2024-12-01Subjects: Get full text
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644
Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC
Published 2020-01-01Subjects: “…model predictive control…”
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645
A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings
Published 2025-12-01Subjects: “…Optimization problem formulation with Mixed-Integer Linear Programming for Data-driven Model Predictive Control of buildings with Thermally Activated Building Structures and shading system…”
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646
Control of Electric Drive with Predicting Model
Published 2006-04-01“…The proposed control system presupposes to build a predicting model on the basis of an optimized object in accordance with an optimum criterion. …”
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647
Real-time riding simulation model for motorcycle including path-following controller with nonlinear model predictive control
Published 2024-11-01“…This study constructs a path-following controller (rider model) based on nonlinear model predictive control (NMPC) with steering torque as the control input. …”
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An Improved Adaptive Car-Following Model Based on the Unscented Kalman Filter for Vehicle Platoons’ Speed Control
Published 2025-07-01Subjects: “…platoon speed control…”
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651
Control Optimization of a Hybrid Magnetic Suspension Blood Pump Controller Based on the Finite Element Method
Published 2025-06-01“…Then, magnetic circuit parameters were precisely identified through finite element simulation, enabling accurate optimization of the physical model. To enhance control accuracy, intelligent tuning strategies based on PSO and BP neural networks were applied, effectively addressing the limitations of conventional PID controllers, which often rely on empirical tuning and lack precision. …”
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652
Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives
Published 2024-12-01“…The approach involves a hierarchical control scheme that integrates a model predictive controller with a torque vectoring algorithm to optimize torque demand and accurately anticipate road-specific torque requirements. …”
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653
Coordinated System Intelligent Optimization for an Ultra-Supercritical Power Unit Based on Improved Simplex Method and Condensate Throttling
Published 2018-12-01Subjects: Get full text
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654
Multi-Level Thermal Modeling and Management of Battery Energy Storage Systems
Published 2025-06-01Subjects: Get full text
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655
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656
Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems
Published 2025-05-01“…Second, a multi-objective model-predictive automatic generation control method was designed, considering system frequency deviations, generation costs, and emission costs. …”
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657
Multi-Vector Model Predictive Control for Three-Phase Four-Switch Rectifier with Capacitor Voltage Balancing
Published 2019-10-01Subjects: “…modeling and control of converters…”
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658
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Analysis of Precision Regulation Pathways for Thermal Substation Supply–Demand Balance
Published 2025-05-01Subjects: Get full text
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660
Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process
Published 2023-07-01“…Firstly, the flexible regulation state-space model of the P2A system is established. Second, considering the coupling of the stochastic process of wind power output and the adjustment inertia of the ammonia synthesis section, the Itô process is used to model the stochastic process of wind power output, and a stochastic dynamics-constrained optimal control model of the P2A system is constructed. …”
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