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ASYMPTOTIC HYPERSTABILITY OF A CLASS OF NEURAL NETWORKS

International Journal of Neural Systems, 1999
This paper is concerned with the asymptotic hyperstability of recurrent neural networks. We derive based on the stability results necessary and sufficient conditions for the network parameters. The results we achieve are more general than those based on Lyapunov methods, since they provide milder constraints on the connection weights than the ...
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Hyperstable Theories*

1996
Abstract Lascar rank is localized to invariant families of types, and some of its properties are proven. Furthermore, the regular type technology is extended to certain stable theories. This is applied to prove Lachlan’s conjecture for those theories, and derive further structural properties.
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Aza-Glycine Induces Collagen Hyperstability

Journal of the American Chemical Society, 2015
Hydrogen bonding is fundamental to life on our planet, and nature utilizes H-bonding in nearly all biomolecular interactions. Often, H-bonding is already maximized in natural biopolymer systems such as nucleic acids, where Watson-Crick H-bonds are fully paired in double-helical structures.
Yitao, Zhang   +2 more
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Hyperstable arousal regulation in multiple sclerosis

Psychoneuroendocrinology, 2019
Fatigue is common in multiple sclerosis (MS) patients. Exhaustion of physiological reserves and mental stress are postulated causes, the latter supported by more pronounced hypothalamic-pituitary-adrenal (HPA) axis activation in fatigued patients. Divergent dysregulation of arousal appears to play important roles in depression- (hyperstable arousal ...
Muriel, Stoppe   +4 more
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Fuzzy adaptive control: a hyperstability approach

ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445), 2002
This paper investigates a direct fuzzy adaptive control of continuous-time nonlinear systems. The proposed adaptive scheme uses a Takagi-Seguno (TS) fuzzy controller, which allows the inclusion of a priori information in terms of qualitative knowledge about the plant operating points or analytical conventional regulators (e.g., state feedback) for ...
Noureddine Goléa   +2 more
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Hyperstable polyphase adaptive IIR filters

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999
This work considers the implementation of recursive identification algorithms based on hyperstability concepts with polyphase structures. It is shown that the strictly positive real (SPR) condition required for convergence of these schemes can always be met by using a sufficiently high polyphase expansion factor M.
Carlos Mosquera   +2 more
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Hyperstability and adaptive filtering

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
Recently, results from the area of system identification concerning the concept of system hyperstability have been applied to the analysis of adaptive filtering configurations. In particular, this analysis tool has allowed the development of a family of convergent adaptive recursive digital filtering algorithms, where the use of conventional gradient ...
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Subband hyperstable adaptive iir filters

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2003
Two subband implementations of hyperstability based adaptive infinite-impulse response (IIR) filtering algorithms are presented. These schemes are based on the polyphase decomposition of the adaptive filter and do not require cross filters to avoid aliasing.
Roberto López-Valcarce   +1 more
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A simplified viewpoint of hyperstability

IEEE Transactions on Automatic Control, 1968
The definition of a hyperstable system according to Popov is given a network theoretic interpretation, and proofs are presented outlining the connection between passive and hyperstable systems.
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Rigidity of hyperstable complexes

Archiv der Mathematik, 2008
A module J over a ring \(\bigwedge\) is said to be hyperstable when \(J \cong J \oplus {\bigwedge}^{\infty}\). Over a module M for which Ext\(^{n+1}(M, \bigwedge) = 0\) we show that the projective n-stems \({\mathcal{P}}\) for which \(\pi_n({\mathcal{P}})\) is hyperstable constitute a single homotopy type.
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