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As for parameters fluctuating, uncertainties caused by external disturbance and friction, the nonlinearity of the flight simulator turntable servo system, a discrete model reference sliding mode control theme combining with adaptive method and decoupled disturbance compensator is presented, and the globally asymptotically stability of the system is proved. The simulation results verified that the...
A number of techniques have been devised by researchers to counter malware attacks, and machine learning techniques play an important role in automated malware detection. Several machine learning approaches have been applied to malware detection, based on different features derived from dynamic analysis of the malware. While these methods demonstrate promise, they pose at least two major challenges...
Induction machines are critical components in several industrial processes and are frequently integrated in commercially available equipments. The reliability of an induction motor is of great Importance in industrial as well as commercial, aerospace and military applications. in This paper two kinds of induction motor faults, stator short circuit and broken rotor bar fault, are investigated. The...
In this paper, a fault diagnosis method based on support vector machine (SVM) is proposed for gas turbine bearing. Firstly, through analysis and processing of vibration signals, the singular value decomposition related EEMD technique is applied to extract feature vectors of the signals. The results are used as the input of SVM classifier model. Then, by using the SVM network intelligence, the turbine...
Proton Exchange Membrane Fuel cell has many perfect characters and becomes one of the most important research subjects among domestic and international fuel cell fields. Heat transfer management is one of the key technologies for PEM fuel cell. This paper built a temperature model of PEM fuel cell based on fuzzy technology, which divided the fuzzy space evenly by established rules, got the number...
The evaluation of the city public emergency capability is an important basis of the development of the city emergency capability. This paper made a evaluation to the eight sample cities based on the Fuzzy Set Theory. And the sample cities are choice by the three criteria such as disaster distribution, city type and geography location and so on. And they are Nanning, Harbin, Yinchuan, Shenyang, Jinan,...
The search method based on the way combined self-organizing competitive neural network with nearest neighbor algorithm was proposed. A data preprocessing method applying to the retrieval method was proposed in this paper. The implementation process of the search method based on the way combined self-organizing competitive neural network with nearest neighbor was showed. Eventually, through a practical...
In this paper, we present a new dynamic flow routing model on networks of parallel paths with capacities on edges and a regime of random queues at vertices. According to the introduced rules of waiting at vertices, we estimate the routing cost functions expressed by a mathematical expectation of a routing duration. For the corresponding routing game with nonatomic agents we prove the existence of...
The geometric properties and optimality conditions for a class of typical model of linear bilevel programming with multiple followers are discussed in this paper. Under the assumption that the constrained set is nonempty and bounded, we study the geometric properties of the feasible set and reach the conclusion of the feasible set of weak quasi-convex and connected set. An optimum condition is obtained...
The paper studies the problem of finite time formation control for multiple vehicles. The vehicle is modeled as the full actuated rigid body, both the formation time and the geometric structure of the formation are specified by the task. An open optimal control law is derived by using Pontryagins minimum principle, and is converted to the closed form by feeding the current state back under the assumption...
This paper considers the finite-time control design for the nonholonomic mobile robots to construct leader-following formation. In the formation, only the pose of the leader robot can be obtained by the follower. Firstly, the leader-following formation is transformed into a special trajectory tracking problem and a finite-time observer is designed to estimate the leader's dynamics. Then, neural network-based...
Detection of polymorphic malware variants plays an important role to improve information system security. Traditional static/dynamic analysis technologies have shown to be an effective characteristic that represents polymorphic malware instances. While these approaches demonstrate promise, they are themselves subject to a growing array of countermeasures that increase the cost of capturing these malware...
In this paper a finite impulse response (FIR) filter for online adaptive modeling of satellite attitude control systems is proposed, and a recursive least squares (RLS) algorithm is used to adjust the adaptive FIR filter coefficients for minimizing the output error between the monitored system and the FIR filter. The fault information can be obtained through the analysis of the adaptive FIR filter...
Output swarm stability problems for high-order linear swarm systems with directed interaction topologies are investigated. Firstly, sufficient conditions for output swarm stability are presented, which are independent of the dimensions of Jordan blocks of the Laplacian matrix. Then, an approach is proposed to determine the absolute output motion. Moreover, it is shown that swarm systems with the same...
In this paper, coordinating technique for the multi-layer model predictive control (MPC) of complex water network is proposed. A multi-layer topology structure resulting from a functional decomposition of water network is briefly presented. Inside each layer, a MPC based controller is used. Between the related two layers, a multi-layer coordinating mechanism is provided to generate control strategies...
In this paper, an improved fractional order proportional integral controller parameter tuning method has been proposed. This method is to map the controller to get a set of vectors in the complex plane. Following the method of vector and geometric in the complex plane, the complicated derivation and calculation can be simplified in the process of the controller design. In addition, the established...
In this paper, the fractional-order integral state space realization of a class of any proper fractional transfer function is presented. The operational matrix is generalized into the block form for fitting to carry out the quasi state analysis of the fractional-order integral state space model. Finally, some examples are exhibited to prove the validity of the proposed developments.
This paper presents observer-based direct adaptive fuzzy control for a class of uncertain single-input single-output(SISO) nonlinear systems with unknown control direction. With this scheme, the adaptive fuzzy controller is designed in the presence of only system output is available for measurement, and a robust controller is used to compensate for the lumped errors. A state observer is designed to...
Focusing on the non-stationary characteristic of the fault signal of subway auxiliary inverter, this paper proposes the method that combines ensemble empirical mode decomposition (EEMD) with genetic algorithm to optimize BP neural network (GABP) to diagnose the fault categories of subway auxiliary inverter. Firstly, this paper extracts feature vectors from the original fault signal by EEMD, then establishes...
This paper proposes a new algorithm for the identification of Hammerstein-Wiener system with dead zone input nonlinearity. This method is a combination of least square method and gradient method. The algorithm is simple and will give a precise identification result.
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