A survey on feature selection techniques based on filtering methods for cyber attack detection
Y Lyu, Y Feng, K Sakurai - Information, 2023 - mdpi.com
Cyber attack detection technology plays a vital role today, since cyber attacks have been
causing great harm and loss to organizations and individuals. Feature selection is a …
causing great harm and loss to organizations and individuals. Feature selection is a …
Asynchronous fault detection observer for 2-D Markov jump systems
In this article, the problem of the asynchronous fault detection (FD) observer design is
discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. In general …
discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. In general …
Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
This paper concerns the issue of finite-time dissipative asynchronous output feedback
control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to …
control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to …
Event-triggering and quantized sliding mode control of UMV systems under DoS attack
This paper is concerned with security control of nonlinear unmanned marine vehicle (UMV)
systems under a networked environment. The UMV system and land-based control station …
systems under a networked environment. The UMV system and land-based control station …
Output reachable set synthesis of event-triggered control for singular Markov jump systems under multiple cyber-attacks
This paper investigates the asynchronous event-triggered state-feedback control for discrete-
time nonlinear singular Markov jump systems subject to reachable set bounding and …
time nonlinear singular Markov jump systems subject to reachable set bounding and …
Accuracy enhancement of epileptic seizure detection: a deep learning approach with hardware realization of STFT
Electroencephalogram (EEG) signals, generated during the neuron firing, are an effective
way of predicting such seizure and it is used widely in recent days for classifying and …
way of predicting such seizure and it is used widely in recent days for classifying and …
Fuzzy-model-based asynchronous fault detection for Markov jump systems with partially unknown transition probabilities: An adaptive event-triggered approach
This article addresses the event-triggered asynchronous fault detection (FD) problem of
fuzzy-model-based nonlinear Markov jump systems (MJSs) with partially unknown transition …
fuzzy-model-based nonlinear Markov jump systems (MJSs) with partially unknown transition …
AUV path tracking with real-time obstacle avoidance via reinforcement learning under adaptive constraints
In this paper, the methods are proposed for underactuated autonomous underwater vehicle
(AUV) to address three-dimensional (3D) path tracking and real-time obstacle avoidance …
(AUV) to address three-dimensional (3D) path tracking and real-time obstacle avoidance …
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 …
Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection
Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …