Kirjojen hintavertailu – 12 859 828 kirjaa ja 27 kauppaa

Kirjailija

Yongbo Peng

Kirjat ja teokset yhdessä paikassa: 2 kirjaa, julkaisuja vuosilta 2019–2020, suosituimpiin kuuluu Stochastic Optimal Control of Structures. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

2 kirjaa

Kirjojen julkaisuvuodet: 2019–2020.

Stochastic Optimal Control of Structures

Stochastic Optimal Control of Structures

Yongbo Peng; Jie Li

Springer Verlag, Singapore
2020
nidottu
This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically-based stochastic optimal (PSO) control. By logically integrating randomness into control gain, the book helps readers design elegant control systems, mitigate risks in civil engineering structures, and avoid the dilemmas posed by the methods predominantly applied in current practice, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with nominal white noises.
Stochastic Optimal Control of Structures

Stochastic Optimal Control of Structures

Yongbo Peng; Jie Li

Springer Verlag, Singapore
2019
sidottu
This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically-based stochastic optimal (PSO) control. By logically integrating randomness into control gain, the book helps readers design elegant control systems, mitigate risks in civil engineering structures, and avoid the dilemmas posed by the methods predominantly applied in current practice, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with nominal white noises.