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The thickness of the boundary layer of the discrete-time Tracking-Differentiator is variable, so that the control characteristic line is asymmetric. In general, the nonlinear boundary transform is used to get the control synthesis function. However, it contains square root operations, and the compute is more complex. This study is conducted to put forward a new algorithm to simplify partition boundary...
In this paper, based on pre-existing control-oriented model (COM), considering the aerodynamic coefficients suffer to stochastic perturbation, a new control model of the longitudinal dynamics with stochastic perturbation is obtained. Furthermore, by using radial basis neural networks (RBFNNs) and backstepping technique, an adaptive longitudinal control scheme is proposed for near space vehicles (NSVs)...
With the popularity of the concept of green energy, reducing the harmonic pollution of power equipment to power grid has become an important research topic in the field of power electronics. This paper takes three-phase current-source PWM rectifier system as the research object, and it presents a current-source PWM pulse signal tri-logic control method, and puts forward a pre-modulation method. Then...
In this paper, an implicit iterative algorithm is developed to obtain the unique positive definite solution of the generalized algebraic Riccati matrix equation. For this proposed algorithm, there exisits a tuning parameter which can be chosen such that this algorithm achieves better convergence performance. Some convergence results are given for the proposed algorithm. Moreover, an approach is also...
The existence of non-line-of-sight (NLOS) errors will considerably degrade the localization accuracy. Therefore, the NLOS node localization is investigated. In this article, we propose a NLOS node localization algorithm that utilizes the firefly algorithm. The objective function is established by the probability of propagation of NLOS and LOS according to the approximate maximum likelihood method...
In the actual GNSS space signal quality monitoring system, the performance of the channel is not ideal, resulting in the signal transmitted to the receiver is inconsistent with the signal received by the antenna. Studying the characteristics and designing the equalization algorithm of the channel could restore the received signal to the real state, which will ensure the quality monitoring results...
Networked Distributed Model Predictive Control (NDMPC) is an effective control strategy which is usually used to control large-scale industrial processes with multi-variable coupling. However, data transmission and information exchange are carried out through the network in this control system, it will inevitably appear the phenomenon of network time-varying delay and data packet dropout, which will...
The three-phase current source inverter has the characteristics of accurate current control, high dynamic response speed and strong current limiting ability, and the DC side voltage can be adjusted from zero. In this paper, the three-phase current source inverter topology is studied, the mathematical model of the converter is established in the three-phase static coordinate system and two-phase rotating...
For the evaluation of station importance in transportation system of railway, firstly the weighted railway passenger bipartite network model was established according to the idea of the transport capacity between the different traffic units and connection relation between the traffic units and their stations. Based on previously mentioned network model, a resource allocation algorithm was proposed...
In this paper, we focus on containment control problem for discrete-time multi-agent systems (MASs). More specifically, the MASs are nonlinear systems and they are modeled by discrete-time Takagi-Sugeno (T-S) fuzzy systems. A fuzzy control protocol with a nonlinear feedback control law in each control rule is introduced, which is based on the data collected from the local agent and its neighbors....
We proposed two adaptive control methods for speed control of brushless direct current(BLDC) motor disturbed by two kinds of disturbances in this paper. The dynamic model of BLDC motor possessing either parametric uncertainties disturbed by unknown with known bound external disturbances or parametric uncertainties disturbed by unknown with known structure model external disturbances is considered,...
This paper studies the average consensus problem for a discrete-time multi-agent system with first-order dynamics, we provide the sufficient and necessary stable condition that the step-size needs to satisfy for the multi-agent systems with an iterative method, and the cause of oscillation is investigated with use of matrix diagonal and eigenvalue analysis method. Some conclusions about the largest...
Robust finite-time (FT) stabilization of uncertain continuous-time singular systems is of concern in this paper. By adopting a Lyapunov-like functional (LLF) and the finite-time stability (FTS) technique, the linear matrix inequality (LMI)-based conditions are derived for uncertain continuous-time singular systems to be stabilizable. Then, based on solving these LMIs, a FT H-infinite state feedback...
In order to improve the tracking performance of radar, a method based on the BP neural network model is given, aiming at the problem that the tracking task priority designing of traditional method cannot ensure radar always tracks important targets under multi-target trace. The method utilizes the target parameters and the performance parameter of radar to comprehensively judge the priority of the...
In this paper, the problem of exponential synchronization of Chaotic Lur'e systems with sampled-data control is investigated. It's noted that the sampling periods are arbitrarily varying and bounded. A novel Lyapunov functional is proposed which takes full advantage of the available information about the actual sampling patterns. A linear matrix inequality method is utilized to design the sampled-data...
Visual object tracking is an important problem in computer vision and has many applications including traffic monitoring, augmented reality and human computer interface. Although it has been investigated in the past decades, designing a robust tracker to cope with different objects under various situations is still a great challenging task. Focusing on the single-target tracking problem, this paper...
This paper considers vision-based adaptive tracking control of uncertain nonholonomic mobile robots. Due to nonholonomic constraint and lack of one dimensional information, this tracking problem becomes more challenging. With the employment of the backstepping technique, globally asymptotic convergence of the tracking errors can be established. Besides, no a priori knowledge is required on the bound...
Aerosol optical depth (AOD), one of the key factors affecting the atmosphere visibility, has great influence on the prediction of radiation intensity and photovoltaic power generation. Considering the problem that AOD is difficult to obtain real-timely and conveniently with high accuracy, in this paper, PM2.5 concentration, PM10 concentration and temperature, wind speed grade and relative humidity...
This paper propose an asynchronous impulsive control scheme for consensus of second-order multi-agent systems. The proposed control scheme do not require time synchronization among agents. Each agents has its won clock to determine the impulsive instants. By using discretization approaches and the stochastic matrix theory, it is find that the stability of the proposed control scheme depends on the...
This paper investigates the H2 control problem for a class of periodic Markov jump systems with repeated scalar nonlinearities. Under the assumption on the nonlinear function and the framework of positive definite diagonally dominant Lyapunov function method, a sufficient condition is given to ensure the stochastic stability of the closed loop system with a prescribed H2 performance index. By the...
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