Asynchronous Switching Fuzzy Control for Stochastic Highly Nonlinear Systems With Markov Jump and Periodic Time-Varying Delay: By Dupire’s Functional Itô Formula
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引用次数: 0
Abstract
This paper predominantly studies how to achieve the mean-square exponential stability (MSES) of stochastic highly nonlinear fuzzy systems with Markov jump and periodic time-varying delay (SHNFSMPTD), using asynchronous switching fuzzy control. Considering the time-varying delay and the drift and diffusion terms satisfying polynomial growth conditions, we construct two different functionals that explicitly depend on time t in the monotonically increasing and decreasing intervals, respectively. Combined with Dupire’s functional Itô formula, graph theory, and the properties of periodic time-varying delay, we can show that the negative definiteness of the functionals holds in both intervals, which leads to the stability of systems. In addition, by combining the generator matrix of Markov jump and the conditional probability matrix of asynchronous switching, we provide additional MSES criteria for SHNFSMPTD under asynchronous switching fuzzy control. Ultimately, the theoretical results obtained are utilized in a class of van der Pol-Duffing oscillators (VDPDO), and the six-robot systems with center pattern generator networks, and the feasibility of the theoretical results is illustrated through numerical simulations. Note to Practitioners—Stochastic highly nonlinear fuzzy systems with Markov jump and periodic time-varying delays are widely found in many practical systems, such as communication networks, control systems, and biological rhythm systems. In this paper, we propose for the first time to deal with the exponential stability problem of such systems using Dupire’s functional Itô formula. By constructing suitable functionals and applying Dupire’s functional Itô formula, we obtain the negative definiteness of the operator in both intervals. This paper provides a new method for the construction of Lyapunov functional and offers some new ideas for the stability study of this kind of systems. In the future, we attempt to study the noise stabilization of such systems with various attacks and intermittent communication under intermittent control.
本文主要研究了如何利用异步切换模糊控制实现具有马尔可夫跳变和周期时变时滞的随机高度非线性模糊系统的均方指数稳定性。考虑时变时滞和满足多项式增长条件的漂移项和扩散项,我们分别在单调递增和递减区间构造了两个显式依赖于时间t的函数。结合Dupire的泛函Itô公式、图论和周期时变时滞的性质,我们可以证明泛函在两个区间内都是负确定的,从而导致系统的稳定性。此外,通过将马尔可夫跳变的生成器矩阵与异步切换的条件概率矩阵相结合,给出了异步切换模糊控制下SHNFSMPTD的附加MSES准则。最后,将所得的理论结果应用于一类van der Pol-Duffing振荡器(VDPDO)和具有中心模式生成器网络的六机器人系统,并通过数值模拟验证了理论结果的可行性。从业人员注意:具有马尔可夫跳变和周期性时变延迟的随机高度非线性模糊系统在许多实际系统中广泛存在,例如通信网络、控制系统和生物节律系统。本文首次提出用Dupire的泛函Itô公式来处理这类系统的指数稳定性问题。通过构造合适的泛函并应用Dupire泛函Itô公式,得到了算子在两个区间内的负确定性。本文为构造Lyapunov泛函提供了一种新的方法,并为这类系统的稳定性研究提供了一些新的思路。在未来,我们将尝试在间歇控制下研究具有各种攻击和间歇通信的此类系统的噪声镇定问题。
期刊介绍:
The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.