To achieve intelligent tea plucking, it is essential to let the machine know the location of tea bud picking. A Yolov7-TP (Yolov7-Tea-bud and plucking point) model is proposed herein for identifying tea buds and their...
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This paper addresses the stability issue of discrete-time switched positive nonlinear systems (SPNSs) characterized by partial unstable subsystems and constant delays. Firstly, we use a parameter to constrain the rati...
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This paper addresses the stability issue of discrete-time switched positive nonlinear systems (SPNSs) characterized by partial unstable subsystems and constant delays. Firstly, we use a parameter to constrain the ratio of active durations of the stable and unstable modes, and derive the exponential stability conditions for SPNSs based on a key function. Then we analyze the relationship between convergence speed and the constant delay. Additionally, we obtain a stability criterion of SPNSs under a particular sequence of switching signals. Finally, we validate the results through a numerical example.
Some characteristics of complex networks need to be derived from global knowledge of the network topologies, which challenges the practice for studying many large-scale real-world networks. Recently, the geometric ren...
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Some characteristics of complex networks need to be derived from global knowledge of the network topologies, which challenges the practice for studying many large-scale real-world networks. Recently, the geometric renormalization technique has provided a good approximation framework to significantly reduce the size and complexity of a network while retaining its “slow” degrees of freedom. However, due to the finite-size effect of real networks, excessive renormalization iterations will eventually cause these important “slow” degrees of freedom to be filtered out. In this paper, we systematically investigate the finite-size scaling of structural and dynamical observables in geometric renormalization flows of both synthetic and real evolutionary networks. Our results show that these observables can be well characterized by a certain scaling function. Specifically, we show that the critical exponent implied by the scaling function is independent of these observables but depends only on the structural properties of the network. To a certain extent, the results of this paper are of great significance for predicting the observable quantities of large-scale real systems and further suggest that the potential scale invariance of many real-world networks is often masked by finite-size effects.
We present three classes of distributed formation controllers for achieving and maintaining the 2D/3D formation shape of manipulator end-effectors to cope with different scenarios due to availability of modeling param...
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The article considers software-hardware implementation of the system to study the errors in pulse transit time measurement methods. Flexible and powerful possibilities of software tools in the form of virtual instrume...
ISBN:
(数字)9781728169491
ISBN:
(纸本)9781728169507
The article considers software-hardware implementation of the system to study the errors in pulse transit time measurement methods. Flexible and powerful possibilities of software tools in the form of virtual instruments capable to set and reproduce forms and parameters of test signals as well as probabilistic characteristics of interferences are shown.
The article gives the analysis of errors in the method of “sliding histogram” taken place as a result of combined non-linearity of standard test signal together with non-linearity of its movement.
ISBN:
(数字)9781728169491
ISBN:
(纸本)9781728169507
The article gives the analysis of errors in the method of “sliding histogram” taken place as a result of combined non-linearity of standard test signal together with non-linearity of its movement.
This paper addresses the problem of end-effector formation control for manipulators that are subjected to external disturbances: input disturbance torques and disturbance forces at each end-effector. The disturbances ...
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Chaos can lead to self-oscillation, which affect thequality of induction motor drive system?. This effect happens with nonlinear systems, which are sensitive to the initial conditions, but governed by deterministic la...
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ISBN:
(纸本)9781728186580;9781728186597
Chaos can lead to self-oscillation, which affect thequality of induction motor drive system?. This effect happens with nonlinear systems, which are sensitive to the initial conditions, but governed by deterministic laws unlike random. to The present study aims to investigate the chaos that occur in the nonlinear systems - three phase AC drives using induction motor by the rotor of flux oriented control. After analyzing the phenomena based on a mathematical model, simulation will prove chaotic behavior when parameters fall into period doubling bifurcation regions. It showed clearly the chaotic behaviors through time response, phase diagram, Fourier spectrum, Poincaré section, bifurcation diagrams, and Lyapunov exponents. Besides, the sensitivity of the initial condition of the system was also well presented. This is the typical characteristic of a chaotic system. In conclusion, this is a suitable algorithm - sliding mode control put forward to suppress the chaotic oscillations quickly and return the system to the normal working, therefore, could improve the quality of the system.
In this survey, we present the current status on robots performing manipulation tasks that require varying contact with the environment, such that the robot must either implicitly or explicitly control the contact for...
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Methods of digital signal processing in control and monitoring systems are relevant today and largely replace the classic analog methods. This article discusses the main methods of digital signal processing and synthe...
Methods of digital signal processing in control and monitoring systems are relevant today and largely replace the classic analog methods. This article discusses the main methods of digital signal processing and synthesis of appropriate devices, primarily digital filters.
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