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In this paper robust nonlinear observer and controller are designed for sensorless control of interior permanent magnet synchronous motor (IPMSM). The proposed method is based on the high order sliding mode technique. The super twisting algorithm is combined with an interconnected observer which allows using it in multi-input multi output case. The proposed controller computed using the MTPA strategy...
In this work a system for the estimation of the forces (both longitudinal and lateral) exerted between the tires and the road is presented. Starting from two of the most commonly used descriptions of the vehicle dynamics, the single-corner and the single-track models, a system composed of Sub-Optimal Second Order Sliding Mode observers in a cascade structure plus an adaptive element is developed and...
We introduce a low-complexity layered iterative sampling algorithm for near-optimal detection in uplink massive multiple-input multiple-output (MIMO) systems based on the Gibbs sampling. In contrast to the most of Gibbs-sampling-based detectors in the previous arts, which assuming the numbers of transmitting and receiving antennas are similar, in this paper we assume the number of receiving antennas...
Correntropy induced metric (CIM) criterion has been extensively studied for measuring the sparsity property of the in-nature sparse signals. In this paper, a CIM constrained l2–lp (CIM-L2LP) adaptive filtering algorithm is proposed and its convergence analysis is given in detail. By using a CIM penalty, the CIM-L2LP algorithm achieves improved convergence speed while it maintains a lower steady state...
In this study, quadrotor vertical taking off and landing (VTOL) control problem of a quadrotor is investigated. A control strategy which has an inner-outer loop structure is proposed. A backstepping based controller is designed for the outer loop to fulfill position tracking aim. The inner loop is regarded as a nominal system with lumped disturbances which contains parameter perturbations, external...
Analysis of network traffic behavior and modeling to predict, for network management and security early warning has a very important significance. An improved FOA-ESN method using opposition-based learning (OBL) mechanism for the network traffic prediction with multiple steps is proposed in this paper. Firstly, reconstructing the phase space of the original network flow time series, and then building...
To solve the problem of low recognition rate which is the existing identification methods of partial discharge faults, a new method was designed with wavelet, singular value and improved particle swarm algorithm to optimize the BP neural network. First, using continuous wavelet and singular value decomposition to get the signal characteristic value; then combined with the significance of inertia weight...
This work investigates the adaptive finite-time tracking problem for a class of strict-feedback nonlinear systems with parametric uncertainties and symmetric constant output constraint. A tan-type Barrier Lyapunov Function (BLF) is proposed to ensure the boundedness of the output tracking error, and a new tuning function is given to eliminate the effect of uncertainties. It is theoretically shown...
This paper considers the depth control problem of autonomous underwater vehicles (AUVs) in discrete time. A neural-network-based deterministic policy gradient (NNDPG) controller is proposed by combining the deterministic policy gradient theorem with neural networks. Two networks, evaluation network and policy network, are designed to respectively approximate the long-term cost function and policy...
The conventional infinite-length extrinsic information transfer (EXIT) charts would not be accurate for short-length coded systems, because short-length coded sequences do not possess ergodicity as infinite-or very-long length coded sequences. In this paper, we concern with the finite-length EXIT analysis, which is developed for protograph low-density parity-check (PG-LDPC) codes over underwater acoustic...
Aiming at attitude control of the advanced Blendwing-body (BWB) layout aircraft with aerodynamic, center of gravity and inertial parameters' uncertainties, a new improved fast non-singular terminal sliding mode control (IFNTSM) method is proposed in this paper. Compared to the conventional terminal sliding mode (TSM) control method, IFNTSM guarantees to reach the equilibrium in an improved finite...
Based on the existing algorithm of fault-sectin location in distributed network containing distributed generation(DG), the effect of localization is not ideal, especially premature convergence problem in the original genetic algorithm, a new fault location method of chaotic optimization based on multiple-population genetic algorithm is proposed. Firstly, the introduction of a number of population...
The teaching learning based optimization(TLBO) algorithm requires few parameters and has a simple operating process comparing with some other optimization algorithms. However, the original TLBO has a low convergence speed and is easy to have a premature convergence. To reinforce the global performance of the algorithm, a novel hybrid teaching-learning optimization (HTLBO) is proposed. Firstly, an...
The increasing scale of Structure-from-Motion is fundamentally limited by the conventional optimization framework for the all-in-one global bundle adjustment. In this paper, we propose a distributed approach to coping with this global bundle adjustment for very large scale Structurefrom-Motion computation. First, we derive the distributed formulation from the classical optimization algorithm ADMM,...
This paper considers the identification of impulse responses of systems with multiple inputs. An existing technique utilizing signal sets which are correlated with one another is modified to improve its convergence properties. A detailed example is presented to compare the performance between identification using a set of correlated signals and identification using a set of uncorrelated signals. In...
This paper presents the establishment of time domain (TD) uniform geometrical theory of diffraction (UTD) based on the discrete-time electromagnetics (DT-EM) to treat the diffraction problem of PEC curved wedges. The focus is placed on the comparison of parametrical characteristics of DT-UTD when different types of TD basis functions are employed to build up the matrix equations in DT-EM. In this...
This paper presents three implementation algorithms of compound elements pseudo-transient analysis to find DC solutions for nonlinear LSI circuits. In former researches, CEPTA was implemented in SPICE-like simulator with the merits that the size of Jacobian matrix is not expanded during the calculation. While the inserted pseudo parts are converted to some certain equivalent circuits, the conventional...
In circuit simulation, it is of great importance to compute DC operating points of nonlinear circuits. However, the Newton-Raphson method employed in some SPICE-like simulators often fails to obtain a solution. To solve the non-convergence problem, homotopy methods receive abundant attention and have been studied from various standpoints. As to homotopy methods, the convergence property is fundamentally...
Due to the iteration-varying initial position, it is complicated in path-tracking for the mobile service robot. Perspective dynamic system (PDS) provides a theory to formulate the system, which transmits from the apparent motion to the image plane and provides a good control theoretic framework to estimate motion problem. The proposed iterative learning control (ILC) algorithms not only consider errors...
This paper proposes a distributed hierarchical control strategy for cooperative braking control of connected vehicle platoon with a focus on the car-following interactions between vehicles. To this end, a hierarchical control framework including the leader layer and follower layer is first proposed to illustrate the cooperative mechanism. Then, a distributed hierarchical control strategy is designed...
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