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Pipelined pseudo-random number generator with the efficient post-processing method

100%

Dąbal P.

tom Vol. 6, nr 2

43--48

This brief proposes a novel architecture of the chaotic pseudo-random bit generators (PRBGs) based on the chaotic nonlinear model and pipelined data processing. We investigated PRBG built on the chaotic logistic map and frequency dependent negative resistances (FDNR). A significant enhancement in terms of output throughput has been achieved by combining the advantages of pipelining with post-processing based on fast logical operations like bit shifting and XOR. The proposed method has been implemented using programmable SoC Zynq device from Xilinx. We verified output pseudo-random bit stream by standard statistical tests NIST SP800-22. We also present detailed comparison of the proposed post-processing method with the methods reported previously by the other authors. In particular, we compared the maximum output throughput and amount of total logical resources required by PRBG implementation in the programmable SoC device. For PRBGs based on the logistic chaotic map and frequency dependent negative resistance (FDNR) we obtained speed-up factors equal to 33% and 14%, respectively. By composing the output stream of 3 data channels in PRBG with FDNR element, we get the maximum throughput equal to 38.43 Gbps. That is significantly greater comparing to the chaotic PRBGs described so far.

Die Lotka-Volterra-Regeln, der Lautwandel und andere Gedanken

100%

Bluhme H.

nr 24

141-147

Die Lotka-Volterra-Rechte beziehen sich auf biologische Fakten, einschließlich chaotischer Systeme. Somit können sie auch in Bezug auf Lautwandel angewendet werden, der durch mehrere artikulatorische (analoge) und auditive (digitale) Parameter beeinflusst wird; daher ist Lautwandel nur bedingt vorhersehbar und kann sogar als chaotisch erscheinen. Derselbe Mangel ist in Hinsicht auf viele menschliche Aktivitäten bemerkbar: von Zivilisationen, Geschichte und Ökonomie bis Politik.

The Lotka Volterra Laws, apply to biological facts including chaotic systems. As such they also apply to sound change which is influenced by several articulatory (analogue) and auditory (digital) parameters; therefore sound change is predictable only to a very limited extent and can even seem chaotic. The same shortcoming is apparent in many human activities ranging from civilizations, history and economics to politics.

Prawa Lotki-Volterry stosuje się do faktów biologicznych obejmujących systemy chaotyczne. W związku z tym odnoszą się one również do zmian fonetycznych, na które wpływa wiele parametrów artykulacyjnych (analogowych) i audytywnych (cyfrowych); dlatego też zmiany fonetyczne są przewidywalne jedynie w bardzo ograniczonym stopniu i mogą nawet wydawać się chaotyczne. Takie same problemy dotyczą wielu obszarów aktywności człowieka, zaczynając od cywilizacji, historii i ekonomii, a kończąc na polityce.

Hybrid synchronization and parameter estimation of a complex chaotic network of permanent magnet synchronous motors using adaptive integral sliding mode control

80%

Siddique N. , Rehman F. U.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2021

tom Vol. 69, nr 3

art. no. e137056

The synchronisation of a complex chaotic network of permanent magnet synchronous motor systems has increasing practical importance in the field of electrical engineering. This article presents the control design method for the hybrid synchronization and parameter estimation of ring-connected complex chaotic network of permanent magnet synchronous motor systems. The design of the desired control law is a challenging task for control engineers due to parametric uncertainties and chaotic responses to some specific parameter values. Controllers are designed based on the adaptive integral sliding mode control to ensure hybrid synchronization and estimation of uncertain terms. To apply the adaptive ISMC, firstly the error system is converted to a unique system consisting of a nominal part along with the unknown terms which are computed adaptively. The stabilizing controller incorporating nominal control and compensator control is designed for the error system. The compensator controller, as well as the adopted laws, are designed to get the first derivative of the Lyapunov equation strictly negative. To give an illustration, the proposed technique is applied to 4-coupled motor systems yielding the convergence of error dynamics to zero, estimation of uncertain parameters, and hybrid synchronization of system states. The usefulness of the proposed method has also been tested through computer simulations and found to be valid.