This paper combines the multi-innovation theory with the auxiliary model identification idea to present the auxiliary model based multi-innovation stochastic gradient algorithm by expanding the scalar innovation to an...
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ISBN:
(纸本)9781424445233
This paper combines the multi-innovation theory with the auxiliary model identification idea to present the auxiliary model based multi-innovation stochastic gradient algorithm by expanding the scalar innovation to an innovation vector and introducing the innovation length. Convergence analysis in the stochastic framework indicates that the parameter estimation error consistently converges to zero under certain excitation condition. Finally, we illustrate and test the proposed algorithm with an example.
This paper is concerned with the ∞ model reduction for linear parameter-varying (LPV) systems with both discrete and distributed delays. For a given stable system, our attention is focused on the construction of redu...
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This paper is concerned with the ∞ model reduction for linear parameter-varying (LPV) systems with both discrete and distributed delays. For a given stable system, our attention is focused on the construction of reduced-order models, which approximate the original system well in an ∞ norm sense. First, a sufficient condition is proposed for the asymptotic stability with an ∞ performance of the error system by using the parameter-dependent Lyapunov functional method. Then, the decoupling technique is applied, such that there does not exist any product term between the Lyapunov matrices and the system matrices in the parametrised linear matrix inequality (PLMI) constraints; thus a new sufficient condition is obtained. Based on the new condition, two different approaches are developed to solve the model reduction problem. One is the convex linearisation approach and the other is the projection approach. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed design method
An effective hybrid particle swarm cooperative optimization(HPSCO)algorithm combining simulated annealing method and sim- plex method is *** main idea is to divide particle swarm into several sub-groups and achieve op...
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An effective hybrid particle swarm cooperative optimization(HPSCO)algorithm combining simulated annealing method and sim- plex method is *** main idea is to divide particle swarm into several sub-groups and achieve optimization through coop- erativeness of different sub-groups among the *** proposed algorithm is tested by benchmark functions and applied to material balance computation(MBC)in alumina *** show that HPSCO,with both a better stability and a steady convergence,has faster convergence speed and higher global convergence ability than the single method and the improved particle swarm optimization *** importantly,results demonstrate that HPSCO is more feasible and efficient than other algorithms in MBC.
Dependence spaces can deal with the indiscernibility-type incompleteness of information. K-reduct-K-superreduct and D(K, Y)-reduct are introduced and their reduction algorithms are analyzed in detail. Finally, a new r...
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Dependence spaces can deal with the indiscernibility-type incompleteness of information. K-reduct-K-superreduct and D(K, Y)-reduct are introduced and their reduction algorithms are analyzed in detail. Finally, a new reduction algorithm is put forward by means of analysing the definition of K-reduct, K-superreduct and D(K, Y)-reduct and it has the same effects like traditional typical algorithm. Compared with the traditional algorithm, this method is simpler in structure and can improve the efficiency of reduction.
The approach of k-Means is discussed, the shortages of this approach, such as it can not deal with data of signs, it needs give k value and it is sensitive for data of isolation point and noise, are found. A new k-Mea...
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The approach of k-Means is discussed, the shortages of this approach, such as it can not deal with data of signs, it needs give k value and it is sensitive for data of isolation point and noise, are found. A new k-Means data clustering approach based on weights is put forward. The experiments show that this new data clustering approach has better efficiency of data clustering than traditional method based on means.
The basic Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide set of application problems. Nevertheless, an effective adaptive PSO method is still needed for multi-dimensional prob...
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ISBN:
(纸本)9780889867741
The basic Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide set of application problems. Nevertheless, an effective adaptive PSO method is still needed for multi-dimensional problems. This work presents an adaptive PSO (APSO) approach based on altering the maximum velocity at each iteration. Two thirty-dimensional benchmark problems are used in this study and a respectable performance is shown by the proposed PSO for the both problems.
This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermo...
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ISBN:
(纸本)9780769534404
This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization. The NSCT-based point detector is compared to the widely used Harris and Difference of Gaussian (DoG) interest point detectors. The experimental results reveal the robustness of the proposed algorithm to rotation, scale and viewpoint changes.
The Integral Resonant control (IRC) is a simple low-order control scheme that has been introduced as a high-performance controller design methodology for flexible structures with collocated actuator-sensor pairs. It i...
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ISBN:
(纸本)9781617389870
The Integral Resonant control (IRC) is a simple low-order control scheme that has been introduced as a high-performance controller design methodology for flexible structures with collocated actuator-sensor pairs. It is capable of achieving significant damping, over several modes, while guaranteeing closed-loop stability of the system in presence of unmodelled out-of-bandwidth dynamics. These reasons make the IRC an ideal controller for various industrial damping applications, if packaged in a simple easy-to-implement electronic module. In this work, we propose an analog implementation of the IRC scheme using a single Op-Amp circuit. The goal is to demonstrate that with a simple analog realization of the modified IRC scheme, it is possible to damp a large number of vibration modes. A brief discussion about the modeling, circuit considerations, implementation and experimental results is presented in order to validate the usefulness and practicality of the proposed analog IRC implementation.
A remote control system that can control a mobile robot in real time via the internet is proposed. To compensate for the network delay and counteract its impact on the teleoperation system, a predictive control scheme...
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A remote control system that can control a mobile robot in real time via the internet is proposed. To compensate for the network delay and counteract its impact on the teleoperation system, a predictive control scheme based on the modified Smith predictor proposed is selected. To ensure the stability and transparency of the system, a dynamic model manager is designed based on the information exchange between the sensors at the mas-ter and slave sides. To precisely predict the time delay, a new timer synchronization algorithm is proposed. To decrease delay- jitter, a new data buffer scheme is per-formed. Force feedback and a virtual predictive display are introduced to enhance the real-time efficiency of tele-operation. The usefulness and effectiveness of the pro-posed method and system are proven by teleoperation experiments via the internet over a long distance.
A document type definition (DTD) describes the structure of a set of similar XML documents and serves as the schema for XML documents. Consistency of DTDs is an important topic in XML research. A DTD is consistent if ...
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A document type definition (DTD) describes the structure of a set of similar XML documents and serves as the schema for XML documents. Consistency of DTDs is an important topic in XML research. A DTD is consistent if and only if there is some valid XML document conforming to the DTD, while a DTD is inconsistent if there is no XML document conforming to it. Inconsistent DTDs are of no use and should be avoided as well as possible. However, a consistent DTD may have inconsistent sub-structures that no valid XML data could conform to. This kind of DTDs should be avoided as well as inconsistent DTDs. In order to solve this problem, a new notion of 'element consistency in a DTD' is put forward in this paper. Based on 'element consistency in a DTD', notion of 'absolute consistent DTDs', which means consistent DTDs with no inconsistent sub-structures, is discussed. Furthermore, a new DTDs absolute consistency checking algorithm, with which a DTD can be determined absolute consistent or not consistent quickly, is also offered. The worst time complexity of the new DTDs absolute consistency checking algorithm is O(n).
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