Finite-Time L2-Gain Asynchronous Control for Continuous-Time Positive Hidden Markov Jump Systems via T–S Fuzzy Model Approach

C Ren, S He, X Luan, F Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates the finite-time asynchronous control problem for continuous-time
positive hidden Markov jump systems (HMJSs) by using the Takagi-Sugeno fuzzy model …

Control performance monitoring and degradation recovery in automatic control systems: A review, some new results, and future perspectives

SX Ding, L Li - Control Engineering Practice, 2021 - Elsevier
This paper addresses control performance monitoring (CPM) and degradation recovering in
automatic control systems. It begins with a re-visit of CPM techniques and a summary of the …

Advances in youla-kucera parametrization: A review

I Mahtout, F Navas, V Milanés, F Nashashibi - Annual Reviews in Control, 2020 - Elsevier
Youla-Kucera (YK) parametrization was formulated decades ago for obtaining the set of
controllers stabilizing a linear plant. This fundamental result of control theory has been used …

A novel framework of cooperative design: Bringing active fault diagnosis into fault-tolerant control

F Jia, F Cao, G Lyu, X He - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
Fault-tolerant control (FTC) may conceal fault symptoms, thereby increasing the difficulty of
fault diagnosis (FD). In this article, a novel framework for the cooperative design of active FD …

Interval-observer-based fault detection and isolation design for TS fuzzy system based on zonotope analysis

F Zhu, Y Tang, Z Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
This article deals with the fault detection and isolation problems for a class of uncertain
discrete-time Takagi-Sugeno (TS) fuzzy system based on the combination of the H-infinity …

Distributed process monitoring based on canonical correlation analysis with partly-connected topology

X Peng, SX Ding, W Du, W Zhong, F Qian - Control Engineering Practice, 2020 - Elsevier
In this work, a novel data-driven residual generation based process monitoring method is
proposed for plant-wide process systems which can be partitioned into several sub …

An integrated model-based and data-driven gap metric method for fault detection and isolation

H Jin, Z Zuo, Y Wang, L Cui, L Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an integrated approach of model-based and data-driven gap metric
fault detection and isolation in a stochastic framework. For actuator and sensor faults, an …

[HTML][HTML] Design of a hybrid fault-tolerant control system for air–fuel ratio control of internal combustion engines using genetic algorithm and higher-order sliding mode …

T Alsuwian, M Tayyeb, AA Amin, MB Qadir, S Almasabi… - Energies, 2022 - mdpi.com
Fault-tolerant control systems (FTCS) are used in safety and critical applications to improve
reliability and availability for sustained operation in fault situations. These systems may be …

Adaptive multiple-model-based fault-tolerant control for non-minimum phase hypersonic vehicles with input saturations and error constraints

L Wang, R Qi, L Wen, B Jiang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, an adaptive multiple-model-based fault-tolerant controller is developed for
nonminimum phase air-breathing hypersonic vehicles (HSVs) in the presence of parametric …

Fuzzy-based adaptive optimization of unknown discrete-time nonlinear Markov jump systems with off-policy reinforcement learning

H Fang, Y Tu, H Wang, S He, F Liu… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article explores a novel adaptive optimal control strategy for a class of sophisticated
discrete-time nonlinear Markov jump systems (DTNMJSs) via Takagi–Sugeno fuzzy models …