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Finite-time event-triggered stabilization for discrete-time fuzzy Markov jump singularly perturbed systems
The finite-time event-triggered stabilization is studied for a class of discrete-time nonlinear
Markov jump singularly perturbed models with partially unknown transition probabilities …
Markov jump singularly perturbed models with partially unknown transition probabilities …
q-rung orthopair fuzzy Aczel–Alsina aggregation operators with multi-criteria decision-making
Abstract q-rung orthopair fuzzy sets (q-ROFSs) are advantageous for accurately expressing
the preferences of decision-makers (DMs) due to their membership and non-membership …
the preferences of decision-makers (DMs) due to their membership and non-membership …
Event-triggered SMC for networked Markov jum** systems with channel fading and applications: Genetic algorithm
The event-triggered sliding-mode control (SMC) for discrete-time networked Markov jum**
systems (MJSs) with channel fading is investigated by means of a genetic algorithm. In order …
systems (MJSs) with channel fading is investigated by means of a genetic algorithm. In order …
Fuzzy H∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method
In this article, a novel hybrid reinforcement-learning control method is proposed to solve the
adaptive fuzzy control problem of discrete-time nonlinear Markov jump systems based on …
adaptive fuzzy control problem of discrete-time nonlinear Markov jump systems based on …
A survey on hidden Markov jump systems: Asynchronous control and filtering
In recent years, the problems of asynchronous control and filtering for Markov jump systems
(MJSs) have received great research attention from scientific and engineering communities …
(MJSs) have received great research attention from scientific and engineering communities …
Safe deep reinforcement learning-based adaptive control for USV interception mission
This paper aims to develop a safe learning scheme of the USV interception mission. A safe
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
T Muralidharan, N Nissim - Neural Networks, 2023 - Elsevier
In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …
of social engineering techniques and specially crafted malicious emails. When successful …
Sliding mode control of discrete-time interval type-2 fuzzy Markov jump systems with the preview target signal
Q Sun, J Ren, F Zhao - Applied Mathematics and Computation, 2022 - Elsevier
This paper studies the problem of output feedback sliding mode control for uncertain
discrete-time interval type-2 (IT2) fuzzy Markov jump systems (MJSs) with the preview target …
discrete-time interval type-2 (IT2) fuzzy Markov jump systems (MJSs) with the preview target …
Filtered multi‐innovation‐based iterative identification methods for multivariate equation‐error ARMA systems
S Sun, L Xu, F Ding, J Sheng - International Journal of …, 2023 - Wiley Online Library
This paper focuses on the parameter estimation issues of multivariate equation‐error
autoregressive moving average systems. By applying the gradient search and the multi …
autoregressive moving average systems. By applying the gradient search and the multi …
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy
Z Meng, W Cao, D Sun, Q Li, W Ma, F Fan - Advanced Engineering …, 2022 - Elsevier
Transfer learning is an excellent approach to deal with the problem that the target domain
label can not be adequately obtained when rolling bearing cross-condition fault detection. A …
label can not be adequately obtained when rolling bearing cross-condition fault detection. A …