Decentralized Dynamic Adaptation for Service-Based Collective Adaptive Systems

This article deals with Philippe Druillet's three-volume comic adaptation (1980–1985) of Salammbô, Gustave Flaubert's historical novel from 1862, set three centuries BC. Flaubert was famous for not wanting his texts illustrated: he argued that the preciseness of images would undo the poetic vagueness of his written words. The article examines how Druillet tackles the challenge of graphically representing Flaubert's canonical work without reducing the priestess Salammbô into a given type. The analysis shows a dynamic adaptation process in which Druillet gives a kaleidoscopic form to Flaubert's text. His variation on the Salammbô character foregrounds photography, a medium historically relevant to the novel but also to Druillet's own artistic training. Featuring his character Lone Sloane in the role of Mathô, the adaptation proves to be a highly personal appropriation of the novel, where Druillet enhances an autobiographical dimension of his work previously hinted at in La Nuit and Gaïl.

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Adaptive control of time-varying non-linear plants by speed-gradient algorithms

Information and Control Systems ◽

10.31799/1684-8853-2019-3-37-44 ◽

2019 ◽

pp. 37-44 ◽

Cited By ~ 1

Author(s):

O. P. Tomchina ◽

D. N. Polyakhov ◽

O. I. Tokareva ◽

A. L. Fradkov

Keyword(s):

Adaptive Control ◽

Adaptive Systems ◽

Reference Model ◽

Maximum Deviation ◽

Model Parameters ◽

Time Varying ◽

System Solution ◽

Non Linear ◽

Initial Uncertainty ◽

Speed Gradient

Introduction: The motion of many real world systems is described by essentially non-linear and non-stationary models. A number of approaches to the control of such plants are based on constructing an internal model of non-stationarity. However, the non-stationarity model parameters can vary widely, leading to more errors. It is only assumed in this paper that the change rate of the object parameters is limited, while the initial uncertainty can be quite large.Purpose: Analysis of adaptive control algorithms for non-linear and time-varying systems with an explicit reference model, synthesized by the speed gradient method.Results: An estimate was obtained for the maximum deviation of a closed-loop system solution from the reference model solution. It is shown that with sufficiently slow changes in the parameters and a small initial uncertainty, the limit error in the system can be made arbitrarily small. Systems designed by the direct approach and systems based on the identification approach are both considered. The procedures for the synthesis of an adaptive regulator and analysis of the synthesized system are illustrated by an example.Practical relevance: The obtained results allow us to build and analyze a broad class of adaptive systems with reference models under non-stationary conditions.

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