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The simultaneous perturbation stochastic approximation (SPSA) is effective for the optimization problem of complex system which is difficult or impossible to directly obtain the gradient of the objective function except the measurements of objective function. SPSA relies on measurements of the objective function to estimate the gradient efficiently. In order to accelerate the convergence of SPSA,...
In this paper we presented a novel hybrid genetic algorithm for solving NLP problems based on combining the Genetic algorithm and Simulated annealing, together with a local search strategy. The proposed hybrid approach combines the merits of genetic algorithm (GA) with simulated annealing (SA) to construct a more efficient genetic simulated annealing (GSA) algorithm for global search, which could...
In control theory, a state observer is employed to estimate the internal states of the given process. In this paper, a full state observer is engineered to perform predictive video target tracking enhanced with a lowpass filter designed to achieve better tracking quality. The impact of pole placement in the observer is analyzed and the optimal pole values are identified for this particular research...
In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm. A new design of cloud model controller based on multi-objective optimization is proposed. In the first stage, set the system overshoot, settling time, and ITAE index as the optimization objectives, then...
License plate character segmentation is a crucial process of license plate recognition. During the process of image acquisition, because of light condition and the change of shooting distance and the diversity of the plate's format, the task become very challenging. Therefore, many algorithms are proposed under certain conditions, such as a fixed shooting distance or no illumination change. The purpose...
The adaptive genetic algorithm (AGA) designed as a general optimization method was applied to the ambiguity resolution of pulse Doppler (PD) radar. The fitness, based on squared error for multi-PRF (pulse repeat frequency) consecutive ordered ranges, was designed. The crossover operator and the conditions of ending in GA were discussed. The relations among the probability of ambiguity resolution of...
Game theory is often proposed as a framework within which to model coordination. Neoclassical game theory, however, focuses exclusively on individual preferences, whereas coordination requires a concept of group preference as well as individual preferences. Conditional game theory differs from classical theory in two fundamental ways. First, it involves a utility structure that permits agents to define...
YATSI may suffer more from the common problem in semi-supervised learning, i.e. the performance is badly influenced due to the unlabeled examples may often be wrongly labeled. In this paper a semi-supervised k-nearest neighbor classifier named De-YATSI (YATSI with Data Editing) is proposed. A data editing based on estimating class conditional probability is used to identify and discard mislabeled...
An universal and comprehensive complete information static game model between market participants and supervisors and analyze the factors that stimulate irregularities and the inhibitory effect of irregularities based on the idea of game theory. According to the game analysis, we propose some effective standards and recommendations for both participants and supervisors to resolve financial risks,...
To consider disaccord between white Gaussian noise made by measurement noise and long-tail flicker noise measured in practice when target fusion tracking algorithm of multiple sensor calculates the data, a fusion tracking algorithm of fire solution for MMW/Tv combined guidance UCAV based on IMM-PF was presented. The algorithm can be used to multiple sensor information fusion tracking under nonlinear...
Based on game with graph restricted communication and a priori unions proposed by Alonso-Meijide, in this paper, the interaction indexes between two players in the same coalition and in different coalition are established respectively. The influence to the indexes are researched when a new link form, some relative conclusions are drawn.
Aiming at the capacitated vehicle routing problem (CVRP) in the matter stream delivery field, an improved genetic algorithm (GA) based on local mutation operator is adopted. Two layers chromosome coding scheme is designed which can improve initial solutions. This coding method can insure that the sub-routing is effective to satiety the vehicle capacitated constraints. These improved measures have...
In this paper the design of fault tolerant wireless networked control systems (WNCS) is addressed. The considered architecture of WNCS consists of a local execution layer, a supervision layer and a resource management layer, which are connected with wireless communication channels. Such an architecture is often used in industrial applications. An approach of integrated design of those layers as well...
A novel approach to fault feature extraction using Weibull distribution parameters is proposed. After the original signal of bearing vibration is modeled as the Weibull distribution, its scale parameter is extracted as a new feature vector for the bearing running state. The tests results of fault diagnosis of the rolling bearing verify that this new feature can catch the regularity of changes in the...
GSM for Railways (GSM-R) is a wireless mobile network used for train-ground communication. Down is one of the main faults in the routine of train running. It is a procedure inherently composed of several degradation levels, which was formulated as a Hidden Markovian Chain (HMC). In the framework of HMC, a scheme based on viterbi algorithm and absorption probability was proposed to predict occurrence...
This paper addresses the problem of Fault Detection and Isolation (FDI) of switching systems where faulty behaviours are represented as faulty modes. The objectives of the on-line FDI are to identify accurately the current mode and to estimate precisely the switching time. A data-based method is considered here to generate residuals that will be used for FDI. The discernibility condition between modes...
It installed the monitoring devices with a certain distance in the 35KV line to determine accurately the fault location in this paper, the load units were grounded with taking into account the actual operating conditions of load by the ATP simulation. It found that the transient power waveforms of healthy section were very similar in the same side of fault point by the simulation, while the similarity...
This paper studies the path tracking control of four-wheel steering autonomous vehicles. A robust and adaptive fault-tolerant tracking control strategy is proposed to simultaneously counteract modeling uncertainties, unexpected disturbances, coupling effects, as well as actuator failures. By exploiting a state transformation, together with the introduction of virtual points in the longitudinal centerline...
The sliding mode control scheme is proposed for a class of nonlinear time-delayed systems by using a novel disturbance observer. The lumped nonlinear disturbances are first estimated by using the current system states. Then the disturbance observe-based sliding mode controller is designed to guarantee the asymptotical stability of the closed-loop system. The prominent advantage of the proposed scheme...
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