An approach to fault diagnosis based on fuzzy clustering is proposed. First, the fuzzy model representing each state of the system is built by extracting fuzzy rules from the sample data using fuzzy clustering algorit...
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An approach to fault diagnosis based on fuzzy clustering is proposed. First, the fuzzy model representing each state of the system is built by extracting fuzzy rules from the sample data using fuzzy clustering algorithm. Then, the modified fuzzy models for fault diagnosis are obtained based on the original fuzzy models and constitute a whole rule-base. Furthermore, a strategy for fault diagnosis based on fuzzy clustering is presented to detect and locate faults in the system. Finally, some experimental results are shown to illustrate the effectiveness of the proposed approach.
The filtering process of satellite attitude/attitude-rate estimation is discussed using only star sensors. Considering the characteristics of the vector observation, a real-time predictive filter for three-axis attitu...
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The filtering process of satellite attitude/attitude-rate estimation is discussed using only star sensors. Considering the characteristics of the vector observation, a real-time predictive filter for three-axis attitude estimation is given. An improved algorithm, which simplifies the restrictive condition, is presented based on the predictive filter. The nonlinear filter accurately estimates satellite attitude by predicting uncertainty in the dynamics equation one step ahead. The simulation results demonstrated both the feasibility and robustness of the filter.
In view of the low resolution and low contrast problems of B-mode ultrasonic echograms, this paper studies the wavelet method to solve the problems. Based on the multiscale singularity detection of 1-D signals, we pre...
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In view of the low resolution and low contrast problems of B-mode ultrasonic echograms, this paper studies the wavelet method to solve the problems. Based on the multiscale singularity detection of 1-D signals, we present a multiscale interpolation method. Based on the multiscale singularity detection of 2-D signals, we present an edge and contrast enhancement method. The simulation results show that these methods ore helpful for improving ultrasonic echogram quality indeed.
On the basis of underwater table, a pre-controller and an internal model reference loop controller are designed using multivariable quantitative feedback theory (QFT) for the uncertain MIMO system after analyzing the ...
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On the basis of underwater table, a pre-controller and an internal model reference loop controller are designed using multivariable quantitative feedback theory (QFT) for the uncertain MIMO system after analyzing the coaxial double brushless DC motors system. The two controllers cause the coupled system to behave like the uncoupled system with properly choosing pre-controller and the reference model. To realize robust disturbance rejection and robust tracking, an outer-loop controller is designed in the well-known sequential design. The final results indicate that the request of system performance is satisfied, at the same time, the applicability and effectiveness of the proposed method is verified.
The classical control method depends on the experiences of project designers and is based on classical design of servo systems. One optimum method which is designed to solve the problem of classical control system des...
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ISBN:
(纸本)0780366387
The classical control method depends on the experiences of project designers and is based on classical design of servo systems. One optimum method which is designed to solve the problem of classical control system design is proposed. The paper presents an optimum performance index function of order and parameters of a lead-link and also proves the existence of a solution. Finally, an application is given to certify the effectiveness of the method.
The problem of robust stabilization for a class of mismatched uncertain nonlinear systems is considered in this paper. The required information about uncertainties in the system is merely that the uncertainties are bo...
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The problem of robust stabilization for a class of mismatched uncertain nonlinear systems is considered in this paper. The required information about uncertainties in the system is merely that the uncertainties are bounded in Euclidean norm by a known function of the system states. It can be viewed as an extension of the work in Ref.[1]. First, the uncertainties are decomposed into matched and mismatched parts. Then based on Lyapunov method, a robust controller is proposed, which will compensate matched and mismatched uncertainties respectively. In contrast with some previous controllers who can only guarantee practical stability of the systems, the robust controller presented in this paper can guarantee that the resulting closed-loop systems are globally asymptotically stable. The simulation result shows that the method suggested is available and effective.
The paper presents a new method for generating the desired gaits in biped robot based on the reactive force between the feet and ground. The relation between the reactive force and joint motion is derived using the D&...
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The paper presents a new method for generating the desired gaits in biped robot based on the reactive force between the feet and ground. The relation between the reactive force and joint motion is derived using the D'Almbert principle. In view of stale walking, the zero moment point (ZMP) stability criterion must be included in the desired gait generation. The proposed method utilizes aforesaid relation and stability principle to generate the desired joint trajectories. Meanwhile, desired motion trajectories and desired ZMP trajectories are also considered. The desired trajectory of the ZMP is determined by a fuzzy logic based on the human locomotion. The proposed method can reduce the motion range of the trunk, and can be applied to both the single foot supporting phase and double feet supporting phase by changing the restraining condition to the swinging leg.
The problem of robust stabilization for a class of mismatched uncertain nonlinear systems is considered. The required information about uncertainties in the system is merely that the uncertainties are bounded in a Euc...
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The problem of robust stabilization for a class of mismatched uncertain nonlinear systems is considered. The required information about uncertainties in the system is merely that the uncertainties are bounded in a Euclidean norm by a known function of the system states. It can be viewed as an extension of the work in Qu (1994). First, the uncertainties are decomposed into matched and mismatched parts. Then based on a Lyapunov method, a robust controller is proposed, which will compensate matched and mismatched uncertainties respectively. In contrast with some previous controllers which can only guarantee practical stability of the systems, the robust controller presented in the paper can guarantee that the resulting closed-loop systems are globally asymptotically stable. The simulation result shows that the method suggested is effective.
Based on a method for right coprime factorizations of linear systems using matrix elementary transformations, it is shown that a very simple iteration formula exists for right coprime factorizations of multi-input lin...
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ISBN:
(纸本)0780366387
Based on a method for right coprime factorizations of linear systems using matrix elementary transformations, it is shown that a very simple iteration formula exists for right coprime factorizations of multi-input linear systems in system upper Hessenberg forms. This formula gives directly the coefficient matrices of the pair of solutions to the right coprime factorization of the system Hessenberg form, and involves only manipulations of inverses of a few triangular matrices and some matrix productions and summations. Based on this formula, a simple, efficient procedure for determining a right coprime factorization of a multi-input linear system is proposed, which first converts a given linear system into its system Hessenberg form using some orthogonal similarity transformations and then applies the iteration formula to the converted system Hessenberg form. An example demonstrates the usage of the approach.
The fuzzy c-means algorithm(FCM) has been presented for vector quantization(VQ) codebook *** this paper,we present a tabu search(TS) based fuzzy c-means algorithm for VQ codebook *** key problems of the tabu search al...
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The fuzzy c-means algorithm(FCM) has been presented for vector quantization(VQ) codebook *** this paper,we present a tabu search(TS) based fuzzy c-means algorithm for VQ codebook *** key problems of the tabu search algorithm are how to define a solution and how to generate neighboring solutions from the current solution.A codebook-based method is presented to describe a solution for tabu search approach,and the corresponding codebook design algorithm is called *** results show that the CB-TSFCM generates better codebooks than the traditional FCM algorithm and the c-means algorithm.
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