Peng Shi

TL;DR: In this article, the problem of finite-time stabilization for a class of uncertain Markov jump systems with partially known transition probabilities is investigated, and the main aim is to derive the finite time stabilization criteria for the underlying systems when the transition probabilities are partially known and to design a state feedback stabilizing controller such that the trajectories of the system stay within a given bound in a fixed time interval.

TL;DR: An estimator redesign method is derived for the case that the estimator believes there may exist undetectable attacks in the communication network and an illustrative example is presented to demonstrate the effectiveness and potential of the proposed attacker design and estimators redesign techniques.

TL;DR: An algorithmic version of classification in an imprecise or uncertain environment by using the fuzzy approximation relations is developed by developing an algorithm that combines fuzzy approximation and binary relations.

TL;DR: It is shown that the proposed algorithm can reduce chattering phenomenon and guarantee system stability and asymptotic state tracking and the performance of the proposed fault-tolerant control scheme is demonstrated.

TL;DR: In this paper, a robust nonlinear tracking control scheme is proposed for the yaw channel of an unmanned-aerial-vehicle helicopter that is non-affine in the control input.