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Multi‑objective Cooperative Control Strategy of Energy Storage Battery for Primary Frequency Regulation
Published 2025-05-01“…[Methods] In this paper, the batteries were grouped according to the state of charge (SOC) to form energy storage units, and a system model of multiple energy storage units cooperating in primary frequency control was constructed; Then, the reasonable charging and discharging range of battery was determined by analyzing the relationship between the battery open-circuit voltage and the SOC in different environments, and the coordination strategy of each cell was designed according to the difference of SOC between battery cells, so as to realize the frequency regulation requirements while taking into account the battery operation safety; On this basis, the optimization problem was designed and solved to optimize the frequency regulation effect and the energy loss of the battery. …”
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1802
A Reactive Planning and Control Framework for Humanoid Robot Locomotion
Published 2024-12-01“…The framework comprises two main modules, reactive planning and motion optimization. In the reactive planning module, a reactive footstep compensation strategy based on the essential motion of the linear inverted pendulum model (LIPM) is proposed. …”
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1803
Dynamical Modeling and Active Vibration Control Analysis of a Double-Layer Cylindrical Thin Shell with Active Actuators
Published 2025-06-01“…By adding reinforcement and ribs between the double-layer cylindrical shells and optimizing structural design, passive vibration control techniques can effectively solve high frequency vibration problems, but the impact on mid to low frequency vibrations is still limited. …”
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1804
CONTACT STIFFNESS MEASUREMENT AND GRINDING PARAMETERS OPTIMIZATION OF CYLINDRICAL PLUNGE GRINDING (MT)
Published 2023-01-01“…In order to solve this problem, a simplified method for qualitatively determining the contact stiffness between the grinding wheel and the workpiece is proposed, and the grinding parameters are optimized. Based on the dynamic model of plunge cylindrical grinding process, the transfer function of grinding process is deduced, and the mathematical model of the time constant and contact stiffness is established. …”
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1805
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1806
Effects of realistic reradiation models in digital reconfigurable intelligent surfaces
Published 2023-09-01“…Reconfigurable intelligent surfaces (RISs) are a promising technology for wireless communication applications, but their performance is often optimized using simplified electromagnetic reradiation models. …”
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1807
THE SYSTEM OF AUTOMATED AVOIDANCE OF HAZARDOUS SITUATIONS AT AIRCRAFT APPROACH BEFORE GLIDESLOPE DESCENT
Published 2016-11-01“…The task solution of the optimal control and monitoring based on dynamic programming as well as a computer modeling procedure of the present process has been given. …”
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1808
An Analytical Approach to Min-Time Control of Discrete-Time Linear Systems with Constrained Input
Published 2025-03-01“…Employing discrete-time techniques, the min-time control of continuous-time dynamical systems is mainly studied through an analytical framework. …”
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1809
Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions
Published 2025-02-01“…We estimated the variables by solving optimal control problems with sagittal plane lower-body musculoskeletal models, in which we minimized an objective that combined tracking of accelerometer and gyroscope data with minimizing muscular effort. …”
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1810
An advanced direct torque control for doubly fed induction motor using evolutionary computational techniques
Published 2025-07-01“…These optimization strategies are designed to optimally tune the PID controller settings for speed control improvements and to address internal and external disturbances. …”
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1811
Design of a novel and robust 2-DOF PIDA controller based on enzyme action optimizer for ball position regulation in magnetic levitation systems
Published 2025-08-01“…Overall, the proposed EAO-optimized 2-DOF PIDA controller offers a computationally efficient, auto-tunable, and robust solution for high-precision maglev control.…”
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1812
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Lane-Keeping Assistance System Based on Model Predictive Control With Smooth Transitions Between Operational Modes
Published 2025-01-01“…A model predictive control (MPC)-based method effectively can address multi-objective optimization problems in shared control. …”
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1814
The Fast and Accurate Method of Tuning of SISO Controllers Using Seven Performance Indexes
Published 2025-02-01“…The third task is to develop an algorithm for fast calculation of performance indicators in the range of all possible rational tuning of the controller for a given FOPDT plant model. The fourth task is to develop a software application with a graphical interface in MATLAB language, which allows convenient optimization for an arbitrary rational FOPDT model. …”
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1815
A hybrid model of ARIMA and MLP with a Grasshopper optimization algorithm for time series forecasting of water quality
Published 2024-10-01“…Also, in modeling using the MLP (Multilayer Perceptrons) model, both linear and nonlinear pattern are not controlled equally. …”
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1816
A note on the use of influenza vaccination strategies when supply is limited
Published 2010-12-01Get full text
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1817
The problem of satellite attitude stabilization in the geomagnetic field
Published 2024-12-01“…The controllability of the system was analyzed, and an optimal stabilization algorithm based on the LQR method was developed. …”
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1818
Research on the application of a model combining improved optimization algorithms and neural networks in trajectory tracking of robotic arms
Published 2025-08-01“…This finding not only validates the effectiveness of MMGO in optimization problems but also demonstrates the application potential of optimization algorithm models in robotic arm control. …”
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1819
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique
Published 2025-04-01“…In order to lessen the infections, time-dependent control factors are also implemented. The optimality criteria are produced by applying Pontryagin’s maximal argument to prove the validity of the most effective control. …”
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