Stochastic sampled-data multi-objective control of active suspension systems for in-wheel motor driven electric vehicles
March 2024
This paper addresses the sampled-data multi-objective active suspension control problem for an in-wheel motor driven electric vehicle subject to stochastic sampling periods and asynchronous premise...
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A new optimal adaptive backstepping control approach for nonlinear systems under deception attacks via reinforcement learning
March 2024
In this paper, a new optimal adaptive backstepping control approach for nonlinear systems under deception attacks via reinforcement learning is presented in this paper. The existence of nonlinear terms...
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Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults
March 2024
The paper investigates the practical prescribed-time fuzzy tracking control problem for a category of nonlinear system subject to time-varying actuator faults. The presence of unknown nonlinear dynamics...
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A generic framework for qualifications of digital twins in maintenance
November 2023
Digital twins have emerged as a promising technology for maintenance applications, enabling organizations to simulate and monitor physical assets to improve their performance. In Operation and Maintenance...
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A comprehensive survey of robust deep learning in computer vision
November 2023
Deep learning has presented remarkable progress in various tasks. Despite the excellent performance, deep learning models remain not robust, especially to well-designed adversarial examples, limiting...
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Bilateral co-transfer for unsupervised domain adaptation
November 2023
Labeled data scarcity of an interested domain is often a serious problem in machine learning. Leveraging the labeled data from other semantic-related yet co-variate shifted source domain to facilitate...
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Consensus of networked control multi-agent systems using a double-layer encryption scheme
November 2023
This paper addresses the decentralized consensus problem for a system of multiple dynamic agents with remote controllers via networking, known as a networked control multi-agent system (NCMAS). It presents...
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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding
November 2023
In developing countries like South Africa, users experienced more than 1 030 hours of load shedding outages in just the first half of 2023 due to inadequate power supply from the national grid. Residential...
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Event-based performance guaranteed tracking control for constrained nonlinear system via adaptive dynamic programming method
November 2023
An optimal tracking control problem for a class of nonlinear systems with guaranteed performance and asymmetric input constraints is discussed in this paper. The control policy is implemented by adaptive...
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MsFireD-Net: A lightweight and efficient convolutional neural network for flame and smoke segmentation
August 2023
With the rising frequency and severity of wildfires across the globe, researchers have been actively searching for a reliable solution for early-stage forest fire detection. In recent years, Convolutional...
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Adaptive recurrent neural network for uncertainties estimation in feedback control system
August 2023
In this paper, a recurrent neural network (RNN) is used to estimate uncertainties and implement feedback control for nonlinear dynamic systems. The neural network approximates the uncertainties related...
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Matrix pencil based robust control for feedforward systems with event-triggered communications and sensor/actuator faults
August 2023
In this paper we address the issue of output-feedback robust control for a class of feedforward nonlinear systems. Essentially different from the related literature, the feedback/input signals are corrupted...
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Leveraging on few-shot learning for tire pattern classification in forensics
August 2023
This paper presents a novel approach for tire-pattern classification, aimed at conducting forensic analysis on tire marks discovered at crime scenes. The classification model proposed in this study...
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Non-intrusive soil carbon content quantification methods using machine learning algorithms: A comparison of microwave and millimeter wave radar sensors
August 2023
Agricultural and forestry biomass can be converted to biochar through pyrolysis gasification, making it a significant carbon source for soil. Applying biochar to soil is a carbon-negative process that...
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Reachable set estimation for discrete-time Markovian jump neural networks with unified uncertain transition probability
August 2023
This paper focuses on the reachable set estimation for Markovian jump neural networks with time delay. By allowing uncertainty in the transition probabilities, a framework unifies and enhances the generality...
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Practical prescribed-time tracking control for uncertain strict-feedback systems with guaranteed performance under unknown control directions
May 2023
In this paper, we consider the practical prescribed-time performance guaranteed tracking control problem for a class of uncertain strict-feedback systems subject to unknown control direction. Due to...
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Distributed computations for large-scale networked systems using belief propagation
May 2023
This paper introduces several related distributed algorithms, generalised from the celebrated belief propagation algorithm for statistical learning. These algorithms are suitable for a class of computational...
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2-D distributed pose estimation of multi-agent systems using bearing measurements
May 2023
This article studies distributed pose (orientation and position) estimation of leader–follower multi-agent systems over κ-layer graphs in 2-D plane. Only the leaders have access to their orientations...
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Robust adaptive estimator based on a novel objective function—Using the L1-norm and L0-norm
May 2023
To fully take advantage of LMS, LMAT, and SELMS, a novel adaptive estimator using the L1-norm and L0-norm of the estimated error is proposed in this paper. Then based on minimizing the mean-square deviation...
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Error reachable set based stabilization of switched linear systems with bounded peak disturbances
May 2023
This paper investigates the error reachable set based stabilization problem for a class of discrete-time switched linear systems with bounded peak disturbances under persistent dwell-time (PDT) constraint....
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Evolutionary games and spatial periodicity
May 2023
Spatial interactions are considered an important factor influencing a variety of evolutionary processes that take place in structured populations. It still remains an open problem to fully understand...
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Towards cognitive navigation: A biologically inspired calibration mechanism for the head direction cell network
February 2023
To derive meaningful navigation strategies, animals have to estimate their directional headings in the environment. Accordingly, this function is achieved by the head direction cells that were found...
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Spline adaptive filtering algorithm based on different iterative gradients: Performance analysis and comparison
February 2023
Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different iterative gradient methods, i.e., Adagrad and RMSProp, named SAF-Adagrad and SAF-RMSProp, in this paper. Detailed...
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Practical bipartite consensus for multi-agent systems: A barrier function-based adaptive sliding-mode control approach
February 2023
This paper is concerned with bipartite consensus tracking for multi-agent systems with unknown disturbances. A barrier function-based adaptive sliding-mode control (SMC) approach is proposed such that...
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Sampled-data control through model-free reinforcement learning with effective experience replay
February 2023
Reinforcement Learning (RL) based control algorithms can learn the control strategies for nonlinear and uncertain environment during interacting with it. Guided by the rewards generated by environment,...
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