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Spacecraft Anti-reconnaissance Game based on Particle Swarm Optimization Algorithm
This paper proposes an optimization strategy using competitive particle swarm algorithm for the anti-reconnaissance problem in the near-range game...
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A novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily...
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An uncertainty-aware domain adaptive semantic segmentation framework
Semantic segmentation is significant to realize the scene understanding of autonomous driving. Due to the lack of annotated real-world data, the...
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Real-time detection of bearing faults through a hybrid WTMP analysis of frequency-related states
The paper’s primary focus is on the monitoring of vibration signals and introduces an innovative method for the detection of bearing faults in...
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Multiple unmanned ship coverage and exploration in complex sea areas
This study addresses the complexities of maritime area information collection, particularly in challenging sea environments, by introducing a...
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On efficiency and accuracy of sparse identification of bistable nonlinear energy sink chains
Bistable nonlinear energy sinks have been widely studied in energy harvesting and vibration absorption systems. The precise identification of local...
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Water-saving control system based on multiple intelligent algorithms
Water conservation has become a global problem as the population increases. In many densely populated cities in China, leaks from century-old pipe...
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A simple approach for the computation of Lyapunov–Floquet transformations for general time-periodic systems
Ordinary differential equations with time-periodic coefficients (so-called time-periodic systems) can be analyzed using Lyapunov–Floquet (L–F)...
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A nonlinear optimal control approach for 3-DOF four-cable driven parallel robots
In this article, a nonlinear optimal control approach is proposed for the dynamic model of 3-DOF four-cable driven parallel robots (CDPR). To solve...
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Pathological basal ganglia oscillations with time delays: a memoryless feedback control strategy
Pathological basal ganglia oscillations are associated with the hypokinetic motor symptoms of Parkinson’s disease. In this paper, a memoryless...
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Research on strategies of multi-spacecraft interception based on matrix game
Aiming at the problem of non-cooperative spacecraft interception under the many-to-many pursuit-evasion game scenario with complete information, this...
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Identification of Wiener–Hammerstein nonlinear systems with backlash operators
In this paper, a new identification method is developed for Wiener–Hammerstein systems that contain memory nonlinearity of backlash type. The latter...
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Compartmental Nonlinear Epidemic Disease Model with Mixed Behavior
The researchers believe that the number of epidemic diseases will increase in the twenty-first century. The recent virus histories, Sars-CoV,...
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Optimization of PID controller parameters using a hybrid PSO algorithm
PID controller parameter optimization is crucial for improving system stability, reliability, and responsiveness. To improve the efficiency of a PID...
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A new four-dimensional memristive system, synchronization and its application in image encryption
In this paper, a new four-dimensional (4D) memristive system is presented by introducing a memristor equation to a 3D chaotic system. Firstly, the...
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Generalized Harmonic State Estimation: An Approach Considering Measurement and Parameter Errors
Harmonic state estimation (HSE) is an useful technique for determining harmonic voltages and currents in electric power systems based on synchronized...
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The optimal nonlinear inertial amplifier friction bearings for liquid storage tanks: an analytical study
In order to lessen the dynamic reactions of liquid storage tanks, the nonlinear inertial amplifier friction bearings are introduced in this paper....
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A binary-domain recurrent-like architecture-based dynamic graph neural network
The integration of Dynamic Graph Neural Networks (DGNNs) with Smart Manufacturing is crucial as it enables real-time, adaptive analysis of complex...
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Assessment of Time and Frequency Domain Models of Bidirectional LCC-LCC Inductive Power Transfer Systems
This study provides a detailed analysis of bidirectional inductive power transfer (IPT) systems using LCC-LCC compensation topology. It aims to...
