This paper proposes a novel, alternative approach for strategic information systems/information technology (IS/IT) planning in small and medium-sized enterprises, which is less comprehensive and more flexible than mos...
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This paper proposes a novel, alternative approach for strategic information systems/information technology (IS/IT) planning in small and medium-sized enterprises, which is less comprehensive and more flexible than most present strategic information systems planning methodologies, thus attempting to bridge the gap between theory and practice. The approach is implementation-centric and based on a framework in which an architectural lifecycle model for Enterprise Information systems Architecture (EISA) is used as the common conceptual model. Furthermore, the proposed planning process is iterative and the rationale for this is the need to support the gradually increasing awareness, as well as to tackle the ever-changing technical and business requirements that an enterprise information system ultimately must comply with. Although it starts with the business vision, the developed enterprise information system architectural alternatives are made possible, even suggested, by emerging technologies, such as the impact of the Internet.
In this paper, observability properties of a multiantenna GPS measurement system for the estimation of errors in INS are presented. It is shown that time-invariant INS error models are observable with measurements fro...
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ISBN:
(纸本)0780370902
In this paper, observability properties of a multiantenna GPS measurement system for the estimation of errors in INS are presented. It is shown that time-invariant INS error models are observable with measurements from at least three GPS antennas on the vehicle. There is at least one unobservable mode with two antennas. There are three unobservable modes with one antenna. It is also shown that time-varying INS error models are instantaneously observable with measurements from three GPS antennas. A numerical simulation results are given to verify the effectiveness of the multiantenna measurement system on the INS error estimation. In the simulation, a GPS measurement system is considered in which a trade-off between computational load and accuracy of estimation is achieved.
This paper solves the exact pole assignment problem for the single-input stochastic systems with unknown coefficients under the controllability assumption which is necessary and sufficient for the arbitrary pole assig...
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This paper solves the exact pole assignment problem for the single-input stochastic systems with unknown coefficients under the controllability assumption which is necessary and sufficient for the arbitrary pole assignment for systems with known coefficients. The system noise is required to be mutually independent with zero mean and bounded second moment. Two approaches to solving the problem are proposed: One is the iterative learning approach which can be applied when the state at a fixed time can be repeatedly observed with different feedback gains; the other is the adaptive control approach which works when the trajectories satisfy a nondegeneracy condition. Both methods are essentially based on stochastic approximation, and the feedback gains are recursively given without invoking the certainty-equivalency-principle.
We present a novel efficient algorithm for scaling the frequency content of an audio signal by any desired factor in the range 0.5 (minus one octave) to 2.0 (plus one octave) enabling a recording to be played in any d...
A dynamic neural network with a hidden layer that consists of wavelets for nonlinear dynamic system identification is presented. In order to model the dynamics of nonlinear dynamic systems, the external auto-regressiv...
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A dynamic neural network with a hidden layer that consists of wavelets for nonlinear dynamic system identification is presented. In order to model the dynamics of nonlinear dynamic systems, the external auto-regressive connection is introduced into the wavelet based neural network. For fast training of the wavelet neural network, a PID backpropagation algorithm is proposed. The procedure of using a wavelet neural network for modeling is described in detail in the article. Finally, an example for identification of a continuous-stirred-tank-reactor is given.
This paper presents a modeling scheme to obtain user-friendly models for nonlinear systems. The idea is to use flexible nonlinear structures such as sigmoidal neural networks, neurofuzzy networks as model kernels and ...
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This paper presents a modeling scheme to obtain user-friendly models for nonlinear systems. The idea is to use flexible nonlinear structures such as sigmoidal neural networks, neurofuzzy networks as model kernels and to develop user-friendly interfaces based on application specific knowledge and the nature of network structure. As an example, it is developed so called quasi-ARMAX models for general nonlinear systems; Taylor expansion technique is used to construct linear ARMAX model like interfaces that contain some complicated coefficients; then these coefficients are represented using a multi-input-multi-output (MIMO) neurofuzzy model. It is shown that the quasi-ARMAX models have both good approximation ability and some userfriendly properties.
The H∞ almost disturbance decoupling problem is considered. In this paper, a nonlinear design is proposed to find a state feedback controller for bilinear systems. The closed-loop system is internally stable and achi...
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The H∞ almost disturbance decoupling problem is considered. In this paper, a nonlinear design is proposed to find a state feedback controller for bilinear systems. The closed-loop system is internally stable and achieves disturbance attenuation in nonlinear H∞ sense. We defined a special form of Lyapunov function, which is constructed in terms of one or a set of positive definite constant matrices. If, except of the origin of system, the corresponding polynomial of the positive definite matrix (or several polynomials relevant to the positive definite constant matrices) has (have) no zero on a given subset of state space, then we can construct a controller to solve our problem. It is found that the controller structure could be complicated, but is feasible in computation and may require optimization technique to search the solution. We consider both SIMO and MIMO cases with illustrated examples.
A complete parametric approach is proposed for eigenstructure assignment in descriptor linear systems via output feedback, which assigns arbitrary rank(E) finite relative eigenvalues to the closed-loop system and guar...
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A complete parametric approach is proposed for eigenstructure assignment in descriptor linear systems via output feedback, which assigns arbitrary rank(E) finite relative eigenvalues to the closed-loop system and guarantees the closed-loop regularity. General parametric expressions for the normalized left and right closed-loop eigenvector matrices are obtained on the basis of a recent parametric solution for the generalized Sylvester matrix equation. These expressions contain two groups of parameter vectors which represent the degree of freedom existing in the solution of the closed-loop eigenvectors. A pair of general complete expressions for the output feedback gain is also presented, containing the part of parameter vectors existing in the closed-loop eigenvectors and another extra two parameter matrices. The sub-conventional case is especially treated, in which there exists a one-to-one mapping relation between the closed-loop eigenvector matrices and the output feedback gain. This approach does not impost any restriction on the closed-loop eigenvalues, but generalizes and improves some of the existing results. An illustrative example shows the effect of the proposed approach.
In this paper, we analyze performances of a servo control system with acceleration control loop inside of a speed control loop. We evaluate robustness of such a system in comparison to robustness of a robust control s...
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In this paper, we analyze performances of a servo control system with acceleration control loop inside of a speed control loop. We evaluate robustness of such a system in comparison to robustness of a robust control system by using a disturbance observer. The results suggest that robustness against the system's parameters variations is superior in the case of servo control with an acceleration control loop included. Additionally, disturbance suppression is much higher (-50 dB attenuation compared to -20 dB) even at low gain of the acceleration control loop and with the low bandwidth acceleration sensor used. The system's response and its robustness against the disturbances are studied in dependence of the acceleration control loop's gain and of the bandwidth of an acceleration sensor. Simulation examples are shown.
This paper investigates the development of a Supervisory control System with qualitative tasks at the upper level and simple quantitative models at the lower level to control complex non-linear systems. A new quantita...
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