8 research outputs found

    Mass spectra of phenoxyacetyl derivatives

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    The electron-impact-induced mass spectra of substituted N-phenylphenoxyacetamides are discussed. The structure of the rearrangement ion at m/z 108 is investigated and compared with the molecular ion of anisole by metastable ion and corrected collisionally activated dissociation spectra

    Mass spectra of t-butyloxycarbonyl (BOC)-protected peptides

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    Analytically useful mass spectra of t-butyloxycarbonyl protected tetra- and pentapeptides can be obtained under chemical ionization conditions at a source temperature of 250-270 °C without the use of a reagent gas. The mass spectrum of die thermally labile amino acid arginine could also be recorded under the same conditions

    Feedback Nash Equilibria for Descriptor Differential Games Using Matrix Projectors

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    In this article we address the problem of finding feedback Nash equilibria for linear quadratic differential games defined on descriptor systems. First, we decouple the dynamic and algebraic parts of a descriptor system using canonical projectors. We discuss the effects of feedback on the behavior of the descriptor system. We derive necessary and sufficient conditions for the existence of the feedback Nash equilibria for index 1 descriptor systems and show that there exist many informationally non-unique equilibria corresponding to a single solution of the game. Further, for descriptor systems with index greater than 1, we give a regularization based approach and discuss the associated drawbacks.

    Necessary and Sufficient Conditions for Pareto Optimality in Infinite Horizon Cooperative Differential Games

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    In this article we derive necessary and sufficient conditions for the existence of Pareto optimal solutions for infinite horizon cooperative differential games. We consider games defined by non autonomous and discounted autonomous systems. The obtained results are used to analyze the regular indefinite linear quadratic infinite horizon differential game. For the scalar case, we present an algorithm, with mild conditions on the control space, to find all the Pareto optimal solutions.
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