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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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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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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Exact controllability of rational expectations model with multiplicative noise and input delay
March 2024
This paper considers the rational expectations model with multiplicative noise and input delay, where the system dynamics rely on the conditional expectations of future states. The main contribution...
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Adaptive predictor-based control for a helicopter system with input delays: Design and experiments
March 2024
In this paper, we consider a 2-degrees-of-freedom (DOF) helicopter system subject to long input delays and uncertain system parameters. To address the challenges including unknown system parameters...
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Event-triggered H∞ PI state estimation for delayed switched neural networks
March 2024
On state estimation problems of switched neural networks, most existing results with an event-triggered scheme (ETS) not only ignore the estimator information, but also just employ a fixed triggering...
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New year with new achievements
March 2024
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Event-triggered robust cooperative output regulation for a class of linear multi-agent systems with an unknown exosystem
Available online 28 March 2024
This paper investigates the robust cooperative output regulation problem for a class of heterogeneous uncertain linear multi-agent systems with an unknown exosystem via event-triggered control (ETC)....
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Optimal decarbonisation pathway for mining truck fleets
Available online 20 March 2024
The decarbonisation of fossil fuel powered mine truck fleets, which can contribute up to 80% of total emissions in open pit mines, is critical for the mining industry. This study investigates the optimal...
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Actuator and sensor fault isolation in a class of nonlinear dynamical systems
Available online 16 March 2024
Fault isolation in dynamical systems is a challenging task due to modeling uncertainty and measurement noise, interactive effects of multiple faults and fault propagation. This paper proposes a unified...
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Robust adaptive leaderless consensus of unknown non-minimum phase linear multi-agent systems subject to disturbances and/or unmodeled dynamics
Available online 16 March 2024
This article investigates the problem of robust adaptive leaderless consensus for heterogeneous uncertain non-minimum phase linear multi-agent systems over directed communication graphs. Each agent...
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A finite-time fuzzy adaptive output-feedback fault-tolerant control for underactuated wheeled mobile robots systems
Available online 28 February 2024
This paper investigates the adaptive fuzzy finite-time output-feedback fault-tolerant control (FTC) problem for a class of nonlinear underactuated wheeled mobile robots (UWMRs) system with intermittent...
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A survey on multi-agent reinforcement learning and its application
Available online 18 February 2024
Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper presents a comprehensive survey of MARL and its applications. We trace the historical evolution of MARL, highlight...
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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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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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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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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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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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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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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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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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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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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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