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A novel adaptive controller based on sliding mode control with Fourier series approximation approach is presented. To eliminate the impact of time variant characteristics of dead zone, a control law is proposed with an undetermined uncertainty item and an undetermined compensation item through sliding control method, which are then approximated with Fourier series. Lyapunov method is used to guarantee...
An off-line min-max MPC strategy is proposed for constrained nonlinear systems, whose trajectories can be embedded within those of a bank of linear parameter varying models via an embedding scheme. The off-line min-max MPC algorithm is used to determine the control law for each LPV embedding model corresponding to invariant ellipsoidal sets constructed off-line. The control law which will be implemented...
With the increase of vehicles, the work load and the difficulties of the traffic management and road tolling become harder and harder, and day by day, so the automatic recognition of automobile type has very important real value in the traffic management system and road auto-tolling system. An approach is presented to detect and classify the moving vehicle in static scenes, which is based on GVF-Snake...
Aiming at the minimal delay of vehicles in each direction along the artery at the expected speed of travel, this paper proposes an optimal offset model for artery traffic signal control system by analyzing the rules of two directional traffic flow delay at the intersections, which introduces the idea of bidirectional green-wave signal control. The objective function is optimized by applying the genetic...
This paper addresses the problem of planning paths for multiple mobile robots moving in the same environments. We try to decrease the computational complexity of path planning, which is one of the fundamental limiting characteristics in the existing work of path planning. Unlike many other approaches to this problem, we assume the robots are restricted by the limited-communication range such that...
To Solve the problem of low accuracy and high false alarm, a construction method of Bagging ensemble based on random subspace PCA (Principle Component Analysis) was proposed. To create a training data for a base classifier, the feature set is randomly split into several subsets and PCA is applied to each subset. all principal components are retained to keep the variety information in the data; To...
Railway scheduling has been a significant issue in the railway industry. Over the last few years, numerous approaches and tools have been developed to compute railway scheduling. However, robust solutions are necessary to absorb short disruptions. In this paper, we present the robustness problem from the point of view of railway operators and we give some guidelines to measure robustness in timetabling...
This paper is concerned with the temperature uniformity control of a furnace system with multiple burners and multiple parallel passes, which is commonly used in the petroleum refinery industry. In order to maintain the furnace system running in a safe, stable, and high-efficiency state, it is necessary to control the outlet temperature difference among multiple parallel passes. In this paper, a fuzzy...
The aim of this note is to study robust non-fragile stabilization and robust non-fragile D-stabilization for the delta-operator formulated linear uncertain systems. The uncertainty is assumed to be norm-bounded and multiplicative controller gain variations are assumed in existence in the state feedback gain. Based on the notion of non-fragile quadratic stabilizability, a criterion of robust non-fragile...
This paper presents the critical issues and methodologies to improve robotic machining performance with industrial robots. A complete solution using active force control is introduced to address various issues arouse during the robotic machining process. Programming complex contour parts without a CAD model is made easy using force control functions such as lead-through and path-learning. The problem...
A novel power allocation and adaptive modulation algorithm for MIMO systems over time varying fading channel is proposed. Using water-filling theory in space domains, the optimal power allocation and adaptive MQAM by singular values of the channel transfer matrix with average transmit power constraint is obtained. The spectral efficiency is analyzed. The theoretic analysis and simulation results show...
Local principle component regression (PCR) is a widely-used nonlinear calibration method in near infrared (NIR) spectral quantitative analysis. However, it is more sensitive to outliers than global PCR. An algorithm which combines robust PCR and local regression is proposed in this paper. Local training samples are selected according to Mahalanobis distances and the two stages of PCR, principle component...
A fast neighbor codeword search algorithm for vector quantization based on Hadamard transform is presented in this paper. Before the encoding process, the Hadamard transform is calculated on all the codewords in the codebook, and then sorted in the ascending order of their first elements. During the encoding process, firstly the Hadamard transform is applied to the input vector, and its characteristic...
The paper proposes an improved Differential Energy Watermarking algorithm of high capacity and adaptive embedding method based on video content character. The new algorithm consults the value of video image texture and content character. The adaptive embedding method ensures the watermark invisible and robust. Through experiments the method can hide watermark in video stream more rationally, the content...
This paper first introduced the reasons of traditional paralleled converterpsilas not being current-sharing. The fuzzy logical control is applied to parallel converterpsilas current-sharing control technology by making an in-depth research and design on current-sharing looppsilas fuzzy logical controller. In order to reduce adjustable-range of current and make each modulepsilas current balance quickly,...
Aimed at phenomena that human can effectively sense various complex information, sensor human-simulated based on information fusion modeling is discussed, and several modeling methods is analyzed. The paper takes area measurement of irregular graphics as the researched object, and builds the model of sensor human-simulated with powerful performance of nonlinear fitting of support vector machine (SVM)...
The traditional cosine-modulated filter banks design method have some disadvantages, such as the necessary and sufficient conditions for a perfect reconstruction of the filter banks are strict, at the same time the nonlinear optimization algorithms fall down to local minimum easily and itpsilas operation is complicated. A new method is proposed in this paper. The method can be used to improve modulation...
The paper analyzed the character, the origin and the danger of impulse interfere in the coal mine monitoring system. The impulse interfere in monitoring system has characters of sparse, shortness, and high amplitude. According to those characters, the adaptive denoising method based on FOCUSS was proposed to eliminate the impulse interfere. In the experiment, according to the procedures proposed by...
This paper mainly employs multi-fractal spectrum theory to study the time series of stock price fluctuations law. First, multi-fractal analysis on the stock market of China prove that stock price fluctuations obey multi-fractal random walk, and then research on the Multi-spectrum characteristics change before and after the continued strong fluctuations time sequence of stock prices through empirical...
In this paper, by contrasting advantages and drawbacks of several kinds of range finders, showing the model of laser range finder and its nonlinear problem which appears in local map building. We presented a novel method which is based on commonly model in autonomous mobile robot local map building. This method can be easily implemented and has high precision. The result in emulator and experiment...
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