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A novel local texture feature extraction algorithm is proposed based on histogram of oriented gradient domain texture tendency (HOGTT). Classical HOG descriptor proves to be sensitive to rotation transformation, though it is insensitive to illumination and scale changes. The intrinsic texture tendency of tyre tread image has obvious consistency and is robust to different types of images transformation...
In the paper, an improved nonsingular fast terminal sliding mode (INFTSM) guidance law with impact angle constraints is proposed. The guidance law, which employs a double power reaching law and an attractor with negative exponential factor, has a fast speed no matter far from the sliding surface or approach. For the maneuvering targets, extended state observer is designed through which the unknown...
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...
Taking double stage type three phase photovoltaic grid-connected generation system as the research object, the equivalent model of photovoltaic cells, the maximum power point tracking (MPPT) technology and the control strategy of three-phase grid connected inverter are analyzed in this paper. On the basis of the theoretical analysis, the double closed-loop vector control of the double stage type three-phase...
Scene text extraction is always a challenging task owing to its usual disturbing factors such as complex image backgrounds and various text behaviors (sizes, colors, styles and alignments). This paper proposes a scene text extraction approach based on the novel concept of ‘symmetrical edge-point pairs’ (‘point-pair’), which is adopted to describe the sizes, directions and brightness information of...
This paper considers ship route extraction and clustering problem based on Automatic Identification System (AIS) data. For the ships with known Maritime Mobile Service Identify (MMSI), we propose a ship route extraction method by using AIS data. For ship route clustering, hierarchical clustering method is selected. We firstly define a distance between ship routes to measure the dissimilarity of them...
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 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...
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...
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 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...
How to design an optimal mixed H2/H∞ robust FID controller for a complex control system is of great practical importance, but it is still an open issue. From the perspective of evolutionary algorithm, this paper formulates this issue firstly as a typical constrained optimization problem by minimizing a weighted objective function consisting of the robust stability performance, disturbance attenuation...
A robust fault estimation (FE) method is proposed for Lipschitz nonlinear Markov jump system (MJS) based on unknown input observer (UIO). Firstly, the robust UIO is designed under the unknown input and output noise. Then the state estimation error system is established by combining the observer estimated states with real system states. When the error system is stable, the system states and the actuator...
In this paper, a new fault identification scheme is proposed for turboshaft engines, in which a fractional-order sliding mode observer is designed to reconstruct the fault signal. A fractional-order sliding surface is adopted. The reachability of sliding mode and the convergence of fault reconstruction error are proven. Simulation on a turboshaft engine model demonstrate the excellent effect of the...
In this paper, the problem of H∞ sliding mode control for discrete-time singular systems with time-varying delay is studied. A new type of sliding mode surface involving the singular matrix E is proposed firstly, based on which, a less conservative condition is obtained to guarantee the ideal sliding mode dynamics of the singular system to be admissible with a γ-Ievel disturbance attenuation of the...
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