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In this paper, we study the parameters identification problem of Permanent Magnet Synchronous Motor (PMSM) in steady state. First, the controlled auto-regressive (CAR) model of PMSM is established. Secondly, based on the obtained CAR model, an improved stochastic gradient algorithm is proposed to identify the electrical parameters of PMSM. By introducing a tuning parameter in the presented algorithm,...
In this paper, a least squares based on two-step update identification algorithm is established for the Wiener system by introducing a relaxation factor, which controls the relative importance of the two estimation parts. In addition, the convergence performance of the proposed LS-TSU algorithm is then analyzed. It is shown by a numerical example that if the weighting factor is appropriately chosen,...
We proposed a novel blind polarization de-multiplexing technique for higher order modulation signals based on unscented Kalman filter (UKF) in 3D Stokes space. Simulation results show that UKF has better performance of de-multiplexing and convergence speed compared to extended Kalman filters (EKF).
Partial shading condition (PSC) is the most serious concern of a photovoltaic (PV) system as it pointedly decreases the proficiency of PV system. The PV system generates numerous peaks in its output power characteristics curve under PSC. To track a global maximum power point (GMPP) with-in a suitable time limit, a consistent method is thus required. For achieving high performance, enhanced convergence...
Iterative learning control (ILC) is an approach suitable for systems which repeatedly perform a tracking task over a fixed time interval. However little attention has been paid to the case of multiple input, multiple output (MIMO) systems. In this paper theoretical results are derived and establish a close link between increased interaction, reduced robustness, slower convergence and greater control...
In this paper, we presented the derivation of an adaptive algorithm for time-varying system and verified that it satisfied convergence properties. Based on the concept of distance in parameter space, we proposed a robust identification method which identified the smallest set of discrete transfer functions under the assumption that its parameters were time-varying and described derivation of an adaptive...
This work presents a review of the progress in the development of the numerical methods for sample paths simulation of stochastic differential equations. The error of approximation, the order of the convergence, the stability improvement for Euler methods (explicit, implicit and composite schemes) are studied theoretically as well as numerically. MathLab programs support all the illustrations.
Low rank matrix approximation, in the presence of missing data and outliers, has previously shown its significance as a theoretic foundation in a wide spectrum of tabulated information processing applications. To fit low rank models, minimizing the nuclear norm of matrices is a popular scheme, the computational load of which, however, is heavy. While bilinear factorization can largely mitigate the...
This paper studies the problem of determining sensor locations in a large sensor network using only relative distance (range) measurement. In this paper, we consider a synchronous communication protocol when 1) the communication delay between sensors is uncertain; 2) successive packet loss is finite. Based on the barycentric coordinate representation, our work generalizes the DILOC algorithm in the...
Recently, based on different error functions, a series of continuous-time Zhang dynamics (CTZD) models have been developed by Zhang et al to solve for time-varying square root. For completeness and also for potential digital hardware implementation, this paper further investigates the discrete-time forms of these CTZD models, which are termed as the discrete-time ZD (DTZD) algorithms. Specifically,...
The objective of this paper is to extend the relaxed conditions on the existence of the backstepping controllers and observers obtained in a recent literature to the case of parabolic Partial Differential Equations (PDEs) with the same diffusion. Moreover, an observer-based output feedback controller is designed for the considered systems with the new conditions. Then, the corresponding exponential...
In this study, we consider anti-windup design as one of the approaches for the boundary control problem of a flexible manipulator subject to input saturation and input disturbances. The dynamics of the system are represented by partial differential equation (PDE). One of the key contributions of this study is that using singular perturbation approach the PDE model is divided into two simpler subsystems...
In the present paper, we study the orientation control of tree-shaped strings network by the approach feedforward control. First, we design a new controller through the dynamics condition of objective network to stabilize the boundary node a2, a3, as and have no effect the other part of network. Furthermore, the convergence of network system continue to be discussed under some control strategy when...
In this paper, we propose a bounded-confidence opinion model and focus on the study of the opinion consensus probability based on long-range opinion interactions. In this model, each agent updates its opinion using some agents' opinion values according to its confidence bound. We provide a lower bound of the opinion consensus probability when the confidence bound is sufficiently small. Also, we give...
The Gravitational search algorithm (GSA) is categorized in swarm intelligence optimization techniques, based on the Newton's law of gravity and motion. In GSA, solution look process relays on the velocity, which is an element of acceleration that decides the step size of the solutions. Due to this component, sometimes the global search process may skip the global optima. So, to avoid this situation,...
The hydraulic simulation is an important work in the design and construction of gas pipeline network in the city. It is also a necessary means to improve pipeline network, optimize the operation and management of pipe network, and ensure the safety of gas supply. In this paper, based on the model of hydraulic calculation and the finite element nodal method, the research on the hydraulic simulation...
Aiming at the speed regulation system of permanent magnet synchronous motor (PMSM), the research and analysis of PMSM speed regulating system are made. Based on the finite time control technique, a finite time controller is designed in this paper. This design utilizes the error between the output of the speed and the reference speed, to be controlled by a finite time controller to obtain the q-axis...
In this paper we revisit the well known and popular Normalized Subband Adaptive Filter (NSAF). Based on an analysis of the algorithm in the mean and using an analysis strategy presented in [1], we find that the NSAF can be seen as a Richardson iteration applied to a preconditioned augmented Wiener-Hopf equation. This equation is formulated in such a way that its convergence speed can be predicted...
This paper investigates the asymptotic behavior of opinion dynamics in relative-opinion-dependent networks, which is motivated by the observation that a social agent tends to accept opinions close to itself. That is, the interpersonal influence between social agents decreases gradually in their relative opinion. It is interesting that this model can also provide a unified framework to study both the...
This paper investigates a finite time control for spacecraft hovering in highly uncertain dynamical environments, typically found around asteroids. The control method is based on the time varying second order sliding mode control. Firstly, feedback linearization is exploited to transform the dynamic equations for spacecraft into three independent second order uncertain subsystems. Secondly, a simplified...
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