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  • 1
    Electronic Resource
    Electronic Resource
    Fuzzy predictive PI control for processes with large time delays (2002)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 19 (2002), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: This paper presents the design, tuning and performance analysis of a new predictive fuzzy controller structure for higher order plants with large time delays. The designed controller consists of a fuzzy proportional-integral (PI) part and a fuzzy predictor. The fuzzy predictive PI controller combines the advantages of fuzzy control while maintaining the simplicity and robustness of a conventional PI controller. The dynamics of the prediction term are adaptive to the system’s time delay. The prediction term has two parts: a fuzzy predictor that uses the system time delay as an input for calculating the prediction horizon and an exponential term that uses the prediction horizon as its positive power. The prediction term also introduces phase lead into the system which compensates for the phase lag due to the time delay in the plant, thereby stabilizing the closed-loop configuration. The performance of the proposed controller is compared with the responses of the conventional predictive PI controller, showing many advantages of the new design over its conventional counterpart.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00186
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  • 2
    Electronic Resource
    Electronic Resource
    Some applications of fuzzy logic in rule–based expert systems (2002)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 19 (2002), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Fuzzy logic has been used as a means of interpreting vague, incomplete and even contradictory information into a compromised rule base in artificial intelligence such as machine decision–making. Within this context, fuzzy logic can be applied in the field of expert systems to provide additional flexibilities in constructing a working rule base: different experts’ opinions can be incorporated into the same rule base, and each opinion can be modeled in a rather vague notion of human language. As some illustrative application examples, this paper describes how fuzzy logic can be used in expert systems. More precisely, it demonstrates the following applications: (i) a healthcare diagnostic system, (ii) an autofocus camera lens system and (iii) a financial decision system. For each application, basic rules are described, the calculation method is outlined and numerical simulation is provided. These applications demonstrate the suitability and performance of fuzzy logic in expert systems.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00206
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  • 3
    Electronic Resource
    Electronic Resource
    On construction of coprime factorizations for nonlinear feedback control systems (1992)
    Springer
    Circuits, systems and signal processing 11 (1992), S. 285-307 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this paper we describe a family of operators for constructing nontrivial left and right coprime factorizations under rather weak conditions for a large class of nonlinear feedback control systems that has a stabilizable or unstabilizable plant, using a common criterion of input-output stability. The proposed sufficiency and construction method are based on a generalization of the nonlinear Lipschitz operator theory formulated by us for such systems. This class of generalized nonlinear Lipschitz operators constitutes a very large family (an infinite-dimensional Banach space) of bounded nonlinear operators that describe (part of) the underlying systems. One of the main difficulties in constructing coprine factorizations for nonlinear feedback systems has been in taking care of the nonlinear composite and inverse operators that appear in the closed-loop configuration such that the overall feedback system is well defined in the sense of stability, causality, and uniqueness of the internal signals and such that the coprime factorizations can be achieved. In this paper we show how these difficult issues can be handled nicely under our framework of generalized nonlinear Lipschitz operator theory, at least for a very large class of nonlinear control systems. We give a simple illustrative example to show how these coprime factorizations can actually be characterized and constructed to yield explicit closed-form solutions.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01293677
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  • 4
    Electronic Resource
    Electronic Resource
    A multiresolutional approach to 3D object recognition (1997)
    Springer
    Circuits, systems and signal processing 16 (1997), S. 217-239 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract A multiresolutional approach is presented for effectively recognizing three-dimensional (3D) objects. The approach is both pose and scale invariant. A multiresolutional model base is constructed, and multiscale edges of the object are detected using the wavelet transform. The minimum alignment between model base and object is realized by the linear mapping scheme.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01183276
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  • 5
    Electronic Resource
    Electronic Resource
    Discretization of cascaded continuous-time controllers and uncertain systems (1998)
    Springer
    Circuits, systems and signal processing 17 (1998), S. 591-611 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract This paper presents a new method for the digital modeling of a continuous-time uncertain system and a new method for the digital redesign of a sampled-data uncertain system. The system matrices characterizing the state-space representation of the original uncertain system are assumed to be interval matrices. The Chebyshev quadrature formula together with the interval arithmetic are used for the digital interval modeling, and a dual concept of digital interval modeling is utilized to discretize a predesigned cascaded analog controller for robust digital control of a continuous-time uncertain system. Using the newly developed digital interval models and digitally redesigned controllers, the resulting dynamic states of the digitally controlled sampled-data uncertain systemsare able to closely match those of the originally analogously controlled continuous-time uncertain systems for a relatively longer sampling period.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01203107
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  • 6
    Electronic Resource
    Electronic Resource
    A necessary and sufficient condition for right coprime factorization of nonlinear feedback systems (1993)
    Springer
    Circuits, systems and signal processing 12 (1993), S. 489-492 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this short note, we establish a simple, yet precise, necessary and sufficient condition for the “right coprime factorization” of a nonlinear feedback control system. As a consequence, we also obtain similar conditions for the “stable right coprime factorizations ” of the nonlinear feedback control system.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01223323
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  • 7
    Electronic Resource
    Electronic Resource
    A Kalman filtering technique for certain Markov chains (1991)
    Springer
    Circuits, systems and signal processing 10 (1991), S. 211-219 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this paper an efficient decoupling Kalman filtering technique is applied to certain Markov chains with finite-dimensional stationary state-transition matrices. For optimal estimates of a Markov chain with ann-dimensional stationary statetransition matrix, the resultant computational algorithm consists ofn-1 simple one-dimensional recursive formulas.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01183771
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  • 8
    Electronic Resource
    Electronic Resource
    A parallel algorithm for evaluating general linear recurrence equations (1996)
    Springer
    Circuits, systems and signal processing 15 (1996), S. 481-504 
    Details
    ISSN: 1531-5878
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract A block parallel partitioning method for evaluating general linearmth order recurrence equations is presented and applied to solve the eigenvalues of symmetric tridiagonal matrices. The algorithm is based on partitioning, in a way that ensures load balance during computation. This method is applicable to both shared memory and distributed memory MIMD systems. The algorithm achieves a speedup ofO(p) on a parallel computer withp-fold parallelism, which is linear and is greater than the existing results, and the data communication between processors is less than that required for other methods. For solving symmetric tridiagonal eigenvalue problems, our method is faster than the best previous results. The results were tested and evaluated on an MIMD machine, and were within 79% to 96% of the predicted performance for the second order linear recurrence problem.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01183156
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  • 9
    Electronic Resource
    Electronic Resource
    A fast algorithm for scalar Nevanlinna-Pick interpolation (1993)
    Springer
    Numerische Mathematik 64 (1993), S. 115-126 
    Details
    ISSN: 0945-3245
    Keywords: 65D05 ; 68Q25 ; 93B40
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary In this paper, we derive a fast algorithm for the scalar Nevanlinna-Pick interpolation. Givenn distinct pointsz i in the unit disk |z|〈1 andn complex numbersw i satisfying the Pick condition for 1≦i≦n, the new Nevanlinna-Pick interpolation algorithm requires onlyO(n) arithmetic operations to evaluate the interpolatory rational function at a particular value ofz, in contrast to the classical algorithm which requiresO(n 2) arithmetic operations to compute the so-called Fenyves array (which is inherent in the classical algorithm). The new algorithm bypasses the generation of the Fenyves array to speed up the computation, and also yields a parallel scheme requiring onlyO(logn) arithmetic operations on a concurrent-read, exclusive-write parallel random access machine withn processors. We must remark that the rational functionf(z) computed by the new algorithm is one degree higher than the function computed by the classical algorithm.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01388683
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  • 10
    Electronic Resource
    Electronic Resource
    Real-Time Simultaneous Estimation and Decomposition of Random Signals (1998)
    Springer
    Multidimensional systems and signal processing 9 (1998), S. 273-289 
    Details
    ISSN: 1573-0824
    Keywords: decomposition ; estimation ; filter bank and wavelet transform
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract In this paper, an efficient algorithm is derived for multiresolutional estimation and decomposition of noisy random signals. This algorithm performs in real-time the estimation and decomposition simultaneously, using the discrete wavelet transform implemented by a filter bank. Although the algorithm is developed based on the standard Kalman filtering scheme, the nature of blockwise filtering results in a smoothing-equivalent effect. However, the interpolated filtering produces decomposed estimate output in real-time.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008280719917
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