Intermittent fault detection in nonstationary processes via a Wald‐based control chart
In this article, the problem of intermittent fault (IF) detection is investigated for nonstationary processes in the multivariate statistics framework. By combining the moving window technique with maximum likelihood estimation (MLE), the moving ...
Detection, reconstruction and mitigation of deception attacks in nonlinear cyber‐physical systems
This paper proposes a new detection, reconstruction and mitigation scheme for nonlinear cyber‐physical systems experiencing deception attacks in controller‐actuator channel. For early detection of attacks, an anomaly detection unit based on the ...
Kalman‐based multiple sinusoids identification from intermittently missing measurements of the superimposed signal
We consider the problem of stochastic identification of multiple sinusoids from intermittently missing measurements of superimposed signal. An alternate problem formulation is presented as estimation of amplitude and frequency of the sinusoids ...
Hybrid deep architecture for intrusion detection in cyber‐physical system: An optimization‐based approach
Intrustion Detection System (IDS) refers to the gear or software that monitors a network or system for malicious activity or policy violations. Periodically, the system records any intrusion action or breach, which frequently modifies the ...
Synchronization analysis of fuzzy inertial neural networks with time‐varying delays via non‐reduced order method
In this article, the asymptotic synchronization of a class of fuzzy inertial neural networks (FINNs) with time‐varying delays is investigated. First, the direct analysis approach is applied to replace the accustomed variable transformation and ...
Adaptive NNs asymptotic tracking control for high‐order nonlinear systems under prescribed performance and asymmetric output constraints
This article studies the adaptive neural networks (NNs) asymptotic tracking control of high‐order nonlinear systems subject to prescribed performance, non‐strict‐feedback structure, and output constraints. To address the output constraint issue ...
Detection of breast cancer by deep belief network with improved activation function
Breast cancer is the most prevalent kind of tumor to occur in females and the primary cause of death for women. Early detection is perhaps the most successful strategy to minimize breast cancer mortality. Early diagnosis necessitates a consistent ...
Dynamic event‐triggered adaptive neural nonsingular fixed‐time attitude control for multi‐UAVs systems
This article looks into the dynamic event‐triggered fixed‐time adaptive attitude control problem for nonlinear six‐rotor unmanned aerial vehicle (UAV) with external disturbances. The multiple six‐rotor UAVs considered are regarded as nonlinear ...
Adaptive position control using backstepping technique for the leader‐follower multiple quadrotor unmanned aerial vehicle formation
This article addresses the position control issue of multi‐quadrotor unmanned aerial vehicle (QUAV) formation. Concerning the translational dynamic of a multi‐QUAV system, on the one hand, it is an under‐actuation dynamic; on the other hand, it ...
Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea
In practical applications, many processes have nonlinear characteristics that require nonlinear models for accurate description. However, constructing such models and determining their parameters are a challenging task. This article explores ...
Output tracking for a flexible string system with unknown harmonic disturbances using adaptive internal model
A non‐collocated output tracking problem for a flexible string with tip payload at one end was studied in this paper, which is expected to describe by a wave equation coupled ordinary differential equation (ODE) system. The regulated output and ...
UAV group control protocol with adaptive consensus
In this paper, a modified consensus protocol algorithm is proposed for controlling a group of identical unmanned aerial vehicles (UAVs), which have been subjected to interfering signals during coordinate information exchange, using an unknown ...
Disturbance observer based adaptive heading control for unmanned surface vehicle with event‐triggered and signal quantization
This article delves into the adaptive heading tracking control of unmanned surface vehicle (USV) by incorporating an event‐triggered mechanism and signal quantization. The primary objective is to save communication resources while alleviating the ...
Parameter estimation methods for time‐invariant continuous‐time systems from dynamical discrete output responses based on the Laplace transforms
In industrial process control systems, parameter estimation is crucial for controller design and model analysis. This article examines the issue of identifying parameters in continuous‐time models. This article presents a stochastic gradient ...
Composite‐observer‐based asynchronous control for hidden Markov nonlinear systems with disturbances
In this article, an asynchronous adaptive tracking control approach is presented for a type of hidden Markov jump nonlinear systems with external disturbances. In this joint jump process model, hidden Markov model signifies the dynamics of the ...
Adaptive fuzzy ABLF function fixed‐time tracking control method for nonlinear fault‐tolerant control systems with event triggering mechanism
As the nonlinearities of many real physical controlled systems become stronger and stronger, they are difficult to be described by accurate mathematical models. For a class of nonlinear single‐input single‐output systems with all‐state ...
