Asynchronous Boundary Stabilization of Stochastic Markov Jump Reaction-Diffusion Systems
研究了随机马尔可夫跳跃反应扩散系统的异步边界镇定问题，基于隐马尔可夫模型设计异步边界反馈控制器，通过不等式和矩阵技术给出系统指数均方稳定和严格耗散的充分条件，并用数值例子验证。
Dissipativity-based asynchronous boundary stabilization problem is addressed for stochastic Markov jump reaction-diffusion systems (SMJRDSs). In practical engineering, nonsynchronous behavior between system modes and controller modes is inevitable, and the incomplete matrix information makes the problem analysis difficult, so this work considers the asynchronous stabilization. Different from the distributed control, we apply a simple boundary control strategy, which greatly reduces the cost of the control design. Note that three issues need to be addressed: 1) how to model the asynchronous behavior? 2) how to design the asynchronous boundary controller? and 3) how to process the incomplete matrix information? We deal with these problems one by one. Based on a general hidden Markov model (HMM), an asynchronous boundary feedback controller is considered. Via the Wirtinger-type inequality, Schur complement technique, and transition matrix properties, sufficient conditions ensuring exponentially mean square stability and strictly <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(W, P, R)-\alpha $ </tex-math></inline-formula> dissipativity are established, which covers several special cases. Finally, a numerical example is presented to illustrate the proposed control strategies.