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Reachable Set Estimation for Ito Stochastic Semi-Markovian Jump Systems Against Multiple Time Delays

机译:针对多时滞的Ito随机半马尔可夫跳跃系统的可达集估计

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The work deals with these issues of stochastic finite-time boundedness (SFTB), reachable set estimation with input-output finite-time mean square stabilization (IO-FTMSS) for multiple state delayed semi-Markovian jump models subject to uncertainties, stochastic process as well as input constraint. There are few attempts to perform related studies. Firstly, a nonlinear passive control mechanism is designed. Then, a closed-loop model could be acquired. Through stochastic Lyapunov function, these problems of SFTB, reachable set estimation with IO-FTMSS could be solved. In addition, these stability conditions are provided in the framework of linear matrix inequalities. These controller gain matrices, meanwhile, can be derived. At last, this availability of this described strategy can be proved through one simulation.
机译:该工作涉及随机有限时间有界性(SFTB)、基于输入-输出有限时间均方稳定的多状态延迟半马尔可夫跳跃模型的可达集估计(IO-FTMSS)、随机过程和输入约束等问题。很少有尝试进行相关研究。首先,设计了一种非线性被动控制机制;然后,可以获取闭环模型。通过随机Lyapunov函数,可以求解SFTB的这些问题,即IO-FTMSS的可达集估计。此外,这些稳定性条件是在线性矩阵不等式的框架中提供的。同时,可以推导出这些控制器增益矩阵。最后,可以通过一次模拟来证明所描述策略的这种可用性。

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