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  • 1
    Electronic Resource
    Electronic Resource
    Prostaglandin synthesis (1978)
    [s.l.] : Nature Publishing Group
    Nature 271 (1978), S. 787-787 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] THE field of prostaglandin (PG) synthesis has received the attention of many organic chemists over the past decade, and as a result much novel and intriguing chemistry has been developed. Abhijit Mitra has set out to bring together, in this single review, the various synthetic strategies that have ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/271787b0
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Prostaglandin synthesis (1978)
    [s.l.] : Nature Publishing Group
    Nature 273 (1978), S. 81-81 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] UNTIL very recently, scant attention had been paid to the problem of reviewing the vast field of prostaglandin synthesis. This timely book by Professors Szantay and Novak is the second independent work entitled Synthesis of Prostaglandins to appear in recent months (see Nature, 23 February, 271, ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/273081b0
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Modelling and control of nonlinear, operating point dependent systems via associative memory networks (1996)
    Springer
    Dynamics and control 6 (1996), S. 199-218 
    Details
    ISSN: 1573-8450
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract This paper presents a novel approach to the modelling and control of a specific class of nonlinear systems whose parameters are unknown nonlinear functions of the measurable operating points. An associative memory network is used to identify each nonlinear function, whose inputs are the measurable operating points and output being the estimated value of the parameter. Two different cases are considered; the first being those systems where the networks can exactly model the nonlinear functions, whereas the second case considers those systems which can only approximate the nonlinear functions toa known accuracy. The first type of system is referred to as a matching system and the second is called a mismatching system. During the modelling phase, the weights for each network are trained in parallel using the normalised back-propagation algorithm for matching system, and the modified recursive least squares algorithm for mismatching systems. It has been shown that these algorithms together withGoodwin's technical lemma lead to a stable d-step-ahead control scheme for matching systems and a pole assignment control strategy for mismatching systems.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02169537
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Simulation of multivariable non-linear stochastic systems (1979)
    Chichester [u.a.] : Wiley-Blackwell
    International Journal for Numerical Methods in Engineering 14 (1979), S. 37-50 
    Details
    ISSN: 0029-5981
    Keywords: Engineering ; Engineering General
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Mathematics , Technology
    Additional Material: 5 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/nme.1620140104
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    Paper (German National Licenses)
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