Dynamic stochastic synthesis

This technique works by synthesising waveforms from a sequence of interpolated breakpoint samples produced by a statistical formula e.g. Gaussian, Cauchy or Poisson. The interpolation may be calculated using a number of functions, such as exponential, logarithmic and polynomial. Due to the statistical nature of the wavecycle production, this technique is also referred to as dynamic stochastic synthesis. 

The first edition of this book, published in 1977, included an extended discussion of aerosol dynamics, the study of the factors that determine the distribution of aerosol properties with respect to particle size. The distributions change with position and time in both natural and industrial processes. The ability to predict and measure changes in the distribution function are of central importance in many appl ications from air pollution to the commercial synthesis of powdered materials. The aerosol dynamics approach makes it possible to integrate abroad set of topics in aerosol science usually treated in an unconnected manner. These include stochastic processes, aerosol transport, coagulation, formation of agglomerates, classical nucleaiion theory, and the synthesis of ulirafine solid particles,... 

Adaptive control is usually used to cope with an unknown or/and changing plant to be controlled (Astrom and Wittenmark, 1995). Analysis and synthesis of such a control system is possible only under some assumptions concerning the nature of the plant and its dynamics. In this chapter only linear, discrete-time plants disturbed in a stochastic manner will be considered. The following plant model will be used (Moscinski and Ogonowski, 1995) ... 

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