Motivated by applications in hydrodynamics and networks of thermostatically-control loads in buildings we study control of linear dynamical systems driven by additive and also multiplicative noise of a general position. Utilizing mathematical theory of stochastic multiplicative processes we present a universal way to estimate fat, algebraic tails of the state vector probability distributions. This motivates us to introduce and analyze Mean-$q$-Power stability criterion, generalizing the mean-square stability criterion, and then juxtapose these techniques to other, classic tools in control.
翻译:首先,本研究针对液体力学和建筑物中热力控载网络等应用,研究了受加性和乘性噪声驱动的线性动态系统的控制。利用随机乘性过程的数学理论,我们提出了一种普适的方法来估算状态向量概率分布的疲态代数尾巴。这促使我们引入并分析平均-$q$-幂稳定性标准,从而推广均方稳定性标准,然后将这些技术与其他经典控制工具进行对比。