An online adaptive optimal control problem for a class of nonlinear Markov jump systems
(MJSs) is studied. It is worth noting that the dynamic information of MJSs is partially …

This paper investigates the problem of sampled-data-based dissipative control of Takagi–
Sugeno (TS) fuzzy systems. The sampling period is assumed to be varying within an …

This article focuses on the finite-time asynchronous output feedback control scheme for a
class of Markov jump systems subject to external disturbances and nonlinearities. The conic …

In modern industry, fault diagnosis and process supervision are very important in detecting
machinery failures and keeping the stability of production systems. In this paper, a multi …

This paper investigates the problem of the sampled-data extended dissipative control for
uncertain Markov jump systems. The systems considered are transformed into Markov jump …

This paper investigates the problem of the reliable mixed H∞/passive control for Takagi–
Sugeno (T–S) fuzzy delayed systems based on a semi-Markov jump model (SMJM) …

Failure mode and effects analysis (FMEA) is an important analytical tool in reliability
engineering to identify the critical potential failure modes. In this paper, a new FMEA model …

This paper is devoted to the control of Markov jump nonlinear systems with general
transition probabilities (TPs) allowed to be known, uncertain, and unknown. With the help of …

In this paper, the problems of fault detection, isolation, and estimation are considered for a
class of discrete time-varying networked sensing systems with incomplete measurements. A …

This paper is concerned with the problems on simultaneous actuator and sensor fault
estimation as well as the fault-tolerant control for a class of Markovian jump systems …