Lyapunov Functionals and Stability of Stochastic Functional Differential Equations

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Stability of sets of stochastic functional differential equations with impulse effect

Auteur: Leonid Shaikhet. Uitgever: Springer London. Samenvatting Hereditary systems or systems with either delay or after-effects are widely used to model processes in physics, mechanics, control, economics and biology. An important element in their study is their stability. Stability conditions for difference equations with delay can be obtained using a Lyapunov functional. Lyapunov Functionals and Stability of Stochastic Difference Equations describes a general method of Lyapunov functional construction to investigate the stability of discrete- and continuous-time stochastic Volterra difference equations.

The method allows the investigation of the degree to which the stability properties of differential equations are preserved in their difference analogues. The text is self-contained, beginning with basic definitions and the mathematical fundamentals of Lyapunov functional construction and moving on from particular to general stability results for stochastic difference equations with constant coefficients.

Results are then discussed for stochastic difference equations of linear, nonlinear, delayed, discrete and continuous types. Examples are drawn from a variety of physical systems including inverted pendulum control, study of epidemic development, Nicholson's blowflies equation and predator-prey relationships. Lyapunov Functionals and Stability of Stochastic Difference Equations is primarily addressed to experts in stability theory but will also be of use in the work of pure and computational mathematicians and researchers using the ideas of optimal control to study economic, mechanical and biological systems.

Stability of Hybrid Stochastic Retarded Systems - IEEE Journals & Magazine

Toon meer Toon minder. Recensie s From the reviews: This highly recommendable monograph is devoted to the qualitative study of stochastic difference equations with respect to boundedness and asymptotic stability. Thus, its value will be appreciated even more by mathematicians and researchers in engineering and physics.

Henri Schurz, Mathematical Reviews, November, The book presents general method of construction of Lyapunov functionals for investigating stability of stochastic difference equations. The book is primarily addressed to mathematicians, experts in stability theory, and professionals in control engineering.

Kkt conditions optimal control

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We have a dedicated site for Germany. Hereditary systems or systems with either delay or after-effects are widely used to model processes in physics, mechanics, control, economics and biology.

An important element in their study is their stability. Stability conditions for difference equations with delay can be obtained using Lyapunov functionals.

Bibliographic Information

Lyapunov Functionals and Stability of Stochastic Difference Equations describes the general method of Lyapunov functionals construction to investigate the stability of discrete- and continuous-time stochastic Volterra difference equations. The method allows the investigation of the degree to which the stability properties of differential equations are preserved in their difference analogues.

Free Download Lyapunov Functionals and Stability of Stochastic Difference Equations

The text is self-contained, beginning with basic definitions and the mathematical fundamentals of Lyapunov functionals construction and moving on from particular to general stability results for stochastic difference equations with constant coefficients. Results are then discussed for stochastic difference equations of linear, nonlinear, delayed, discrete and continuous types. Examples are drawn from a variety of physical and biological systems including inverted pendulum control, Nicholson's blowflies equation and predator-prey relationships.

Lyapunov Functionals and Stability of Stochastic Difference Equations is primarily addressed to experts in stability theory but will also be of use in the work of pure and computational mathematicians and researchers using the ideas of optimal control to study economic, mechanical and biological systems. Thus, its value will be appreciated even more by mathematicians and researchers in engineering and physics. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Engineering Control Engineering.

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