Fuzzy control systems: Past, present and future
AT Nguyen, T Taniguchi, L Eciolaza… - IEEE Computational …, 2019 - ieeexplore.ieee.org
More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
A survey on active fault-tolerant control systems
Faults and failures in the system components are two main reasons for the instability and the
degradation in control performance. In recent decades, fault-tolerant control (FTC) …
degradation in control performance. In recent decades, fault-tolerant control (FTC) …
Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model
This work investigates the asynchronous fault detection filtering issue for discrete-time
piecewise homogeneous Markov jump systems. By resorting to a dual hidden Markov …
piecewise homogeneous Markov jump systems. By resorting to a dual hidden Markov …
A hybrid feature model and deep-learning-based bearing fault diagnosis
Bearing fault diagnosis is imperative for the maintenance, reliability, and durability of rotary
machines. It can reduce economical losses by eliminating unexpected downtime in industry …
machines. It can reduce economical losses by eliminating unexpected downtime in industry …
Performance-based fault detection and fault-tolerant control for automatic control systems
The main focus of this paper is on the analysis and design scheme of performance-based
fault detection and fault-tolerant control for automatic control systems with incipient (slowly …
fault detection and fault-tolerant control for automatic control systems with incipient (slowly …
Fault estimation and fault-tolerant control for switched fuzzy stochastic systems
This paper addresses the problems of fault estimation and fault-tolerant control for switched
fuzzy stochastic systems with actuator fault and sensor fault. A novel observer is proposed to …
fuzzy stochastic systems with actuator fault and sensor fault. A novel observer is proposed to …
Unknown input functional observer design for discrete-time interval type-2 Takagi–Sugeno fuzzy systems
This article proposes a novel unknown input functional observer design approach toward
discrete-time interval type-2 Takagi–Sugeno fuzzy system models subject to measurable …
discrete-time interval type-2 Takagi–Sugeno fuzzy system models subject to measurable …
Asynchronous control of continuous-time nonlinear Markov jump systems subject to strict dissipativity
This paper addresses the strictly dissipative control problem for continuous-time nonlinear
Markov jump systems via Takagi-Sugeno fuzzy rules. The modes of a devised fuzzy …
Markov jump systems via Takagi-Sugeno fuzzy rules. The modes of a devised fuzzy …
A novel bearing multi-fault diagnosis approach based on weighted permutation entropy and an improved SVM ensemble classifier
Timely and accurate state detection and fault diagnosis of rolling element bearings are very
critical to ensuring the reliability of rotating machinery. This paper proposes a novel method …
critical to ensuring the reliability of rotating machinery. This paper proposes a novel method …
A survey on model-based fault diagnosis for linear discrete time-varying systems
To meet the rising demands for safety and reliability of modern industrial control systems, the
model-based fault diagnosis problem has attracted much attention in the past few decades …
model-based fault diagnosis problem has attracted much attention in the past few decades …