ORCID Profile
0000-0002-2463-9760
Current Organisations
University of Adelaide
,
Loughborough University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Integrated Circuits | Dynamical Systems in Applications | Optimisation | Communications Technologies | Applied Mathematics | Other Electronic Engineering | Digital Systems | Electrical and Electronic Engineering | Computer Hardware Not Elsewhere Classified | Communications Technologies Not Elsewhere Classified |
Computer software and services not elsewhere classified | Application Tools and System Utilities | Integrated systems | Integrated circuits and devices | Computer hardware and electronic equipment not elsewhere classified | Expanding Knowledge in Technology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: IEEE
Date: 2004
Publisher: Elsevier BV
Date: 05-2001
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 05-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: Oxford University Press (OUP)
Date: 07-2016
DOI: 10.1093/CVR/CVW135
Publisher: IEEE
Date: 11-2008
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2014
Publisher: Wiley
Date: 29-06-2016
DOI: 10.1002/RNC.3588
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Publisher: IEEE
Date: 10-2016
Publisher: Elsevier BV
Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
Publisher: WORLD SCIENTIFIC
Date: 26-02-2015
Publisher: IEEE
Date: 12-2015
Publisher: Oxford University Press (OUP)
Date: 1989
Publisher: IEEE
Date: 05-2009
Publisher: Informa UK Limited
Date: 25-06-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 2004
DOI: 10.1049/EL:20040246
Publisher: Informa UK Limited
Date: 1991
Publisher: Informa UK Limited
Date: 27-07-2019
Publisher: Informa UK Limited
Date: 14-11-2017
Publisher: Springer Science and Business Media LLC
Date: 27-11-2015
Publisher: Elsevier BV
Date: 11-2019
Publisher: IEEE
Date: 04-2020
Publisher: Wiley
Date: 07-1987
Publisher: Wiley
Date: 28-03-2016
DOI: 10.1002/MOP.29807
Publisher: SPIE
Date: 27-12-2007
DOI: 10.1117/12.695626
Publisher: IEEE
Date: 2003
Publisher: Institution of Engineering and Technology (IET)
Date: 22-09-2017
Publisher: IEEE
Date: 08-2009
Publisher: IEEE
Date: 10-2015
DOI: 10.1109/SMC.2015.43
Publisher: IEEE
Date: 2008
Publisher: Elsevier BV
Date: 12-2013
Publisher: Elsevier BV
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2016
Publisher: IEEE
Date: 12-2011
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2011
Publisher: Springer International Publishing
Date: 2019
Publisher: Elsevier BV
Date: 06-2022
Publisher: IEEE
Date: 04-2015
Publisher: IEEE
Date: 12-2006
Publisher: Elsevier BV
Date: 12-2017
Publisher: IEEE
Date: 2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: IEEE
Date: 11-2016
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2015
Publisher: Wiley
Date: 13-06-2016
DOI: 10.1002/RNC.3579
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: IEEE
Date: 04-03-2021
Publisher: Springer Science and Business Media LLC
Date: 23-11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Publisher: Springer Science and Business Media LLC
Date: 1988
DOI: 10.1007/BF00938530
Publisher: IEEE
Date: 12-2015
Publisher: Wiley
Date: 26-04-2018
DOI: 10.1002/RNC.4114
Publisher: Informa UK Limited
Date: 25-08-2017
Publisher: IEEE
Date: 2006
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/537414
Abstract: This paper considers the sliding mode control problem for a kind of dynamic delay system. First by utilizing Lyapunov stability theory and a linear matrix inequality technique, an observer based on delayed output feedback is constructed. Then, an integral sliding surface is presented to realize the sliding mode control for the system with the more available stability condition. Finally, some numerical simulations are implemented to demonstrate the validity of the proposed control method.
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2008
Publisher: Institution of Engineering and Technology (IET)
Date: 1983
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 02-12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2010
Publisher: Informa UK Limited
Date: 22-11-2017
Publisher: Informa UK Limited
Date: 16-02-2018
Publisher: Wiley
Date: 04-11-2015
DOI: 10.1002/RNC.3273
Publisher: Wiley
Date: 08-07-2021
DOI: 10.1002/RNC.5692
Abstract: This study aims to investigate the problem of event‐triggered adaptive leaderless consensus control for a class of nonlinear multi‐agent systems with unknown backlash‐like hysteresis. Combining adaptive backstepping and event‐triggered control techniques, a distributed event‐triggered adaptive leaderless consensus controller is designed to compensate for the effects of unknown backlash‐like hysteresis and reduce the update frequency of control signals. By the proposed method, we can obtain the desired consensus tracking, ensure the boundedness of all the signals, and exclude the Zeno behavior from the underlying systems. An ex le of four robotic manipulators is given to show the effectiveness of the new control design scheme.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2021
Publisher: Elsevier BV
Date: 02-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Elsevier BV
Date: 08-2021
Publisher: IEEE
Date: 06-2014
Publisher: Elsevier BV
Date: 09-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 1983
Publisher: Springer Science and Business Media LLC
Date: 30-06-2018
Publisher: Elsevier BV
Date: 10-2018
DOI: 10.1016/J.NEUNET.2018.07.009
Abstract: This paper considers the problem of the asymptotic synchronization in mean square for stochastic reaction-diffusion complex dynamical networks with infinite delay driven by the Wiener processes in the infinite dimensional space under the pinning impulsive control. Two types of the impulsive controllers are proposed: the first is a single pinning impulsive controller on the first node, and the second is the pinning impulsive controller on a small portion of the network nodes. By using the variation-of-constant formula and the fixed point theorem, the asymptotic behavior of impulsive differential equations with infinite delay is first analyzed. Then, by introducing some operators in the abstract space, the networks are transformed into a set of stochastic coupled impulsive partial differential equations in Hilbert space. Under these two pinning impulsive control types, the asymptotic stability in mean square of stochastic coupled partial differential equations is examined by Lyapunov function approach and the comparison principle. The asymptotic synchronization in mean square of stochastic reaction-diffusion dynamical networks can be realized for these two pinning impulsive control schemes. One ex le is provided to present the potential application of the theoretic results obtained.
Publisher: Elsevier BV
Date: 12-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: Elsevier BV
Date: 07-2018
Publisher: IEEE
Date: 05-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: Informa UK Limited
Date: 18-11-2017
Publisher: IEEE
Date: 10-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 1983
Publisher: Institution of Engineering and Technology (IET)
Date: 1983
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2006
Publisher: IEEE Comput. Soc
Date: 1999
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 10-2006
Publisher: IEEE
Date: 02-12-2020
Publisher: Elsevier BV
Date: 05-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2023
Publisher: Elsevier BV
Date: 11-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Elsevier BV
Date: 07-2019
Publisher: Informa UK Limited
Date: 26-04-2018
Publisher: IEEE
Date: 04-12-2021
Publisher: Informa UK Limited
Date: 13-02-2020
Publisher: Elsevier BV
Date: 2020
Publisher: Informa UK Limited
Date: 1988
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 1991
Publisher: IEEE
Date: 07-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2009
Publisher: Elsevier BV
Date: 04-1990
Publisher: Elsevier BV
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Publisher: IEEE Comput. Soc. Press
Date: 1995
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 04-12-2021
Publisher: Elsevier BV
Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 07-2007
Publisher: Springer Science and Business Media LLC
Date: 16-04-2022
DOI: 10.1007/S11071-022-07434-2
Abstract: The formation control problem for a group of first-order agents with model uncertainty and actuator saturation is investigated in this manuscript. An algorithm-and-observer-based formation controller is developed to ensure the semi-global boundedness of the formation tracking error with actuator saturation. First, a fully local-error-related cooperative weight tuning procedure is proposed for the adaptive uncertainty estimation of each agent. The effect of actuator saturation on both the cooperative adaptive estimation and the controller design part is then analysed and discussed. A three-layer neural-based observer is further constructed to achieve finite-time uncertainty approximation with actuator saturation. Besides, the reverse effect led by coupled and saturated control inputs is defined and a new control input distribution algorithm is presented to attenuate the potential oscillation in system states. Finally, comparative simulations based on a multiple omnidirectional robot system are conducted to illustrate the performance of the proposed formation controllers and the new algorithm.
Publisher: IEEE
Date: 04-12-2021
Publisher: IEEE
Date: 04-12-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Publisher: Elsevier BV
Date: 02-2004
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2011
Publisher: Elsevier BV
Date: 09-2010
Publisher: Elsevier BV
Date: 1989
Publisher: IEEE
Date: 07-2016
Publisher: Oxford University Press (OUP)
Date: 16-10-2007
Publisher: Elsevier BV
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2018
Publisher: IEEE
Date: 2006
Publisher: Wiley
Date: 15-12-2016
DOI: 10.1002/RNC.3729
Publisher: Hindawi Limited
Date: 2013
DOI: 10.1155/2013/484062
Abstract: This paper studies the coordination issue of a supply chain consisting of one retailer and two suppliers, a main supplier and a backup supplier. The main supplier’s yield is subject to disruption and the retailer faces a random demand. We determine the retailer’s optimal ordering policy and the main supplier’s production quantity that maximize expected profit of the centralized supply chain. We also analyze the decentralized scenario, and a combination of overproduction risk sharing and buy-back contracts with a side payment from/to the backup supplier is provided to coordinate the supply chain. Numerical ex les are given to gain some qualitative insights.
Publisher: Informa UK Limited
Date: 31-10-2018
Publisher: Elsevier BV
Date: 12-2020
Publisher: Institution of Engineering and Technology (IET)
Date: 10-09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Publisher: IEEE
Date: 10-2015
DOI: 10.1109/SMC.2015.135
Publisher: IEEE
Date: 04-12-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: IEEE
Date: 02-12-2020
Publisher: Informa UK Limited
Date: 14-09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Elsevier BV
Date: 08-2020
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2008
Publisher: IEEE
Date: 08-2012
Publisher: Elsevier BV
Date: 05-2018
Publisher: Springer International Publishing
Date: 2018
Publisher: Informa UK Limited
Date: 05-1989
Publisher: IEEE
Date: 2001
Publisher: Wiley
Date: 17-10-2019
DOI: 10.1002/RNC.4386
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 02-12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
Publisher: IEEE
Date: 1992
Publisher: Wiley
Date: 27-10-2017
DOI: 10.1002/RNC.3977
Publisher: IEEE
Date: 2010
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2020
DOI: 10.1137/19M1237351
Publisher: IEEE
Date: 12-2006
Publisher: Wiley
Date: 23-03-2018
DOI: 10.1002/RNC.4081
Publisher: Elsevier BV
Date: 09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: Informa UK Limited
Date: 17-08-2022
Publisher: Springer Science and Business Media LLC
Date: 17-02-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2019
Publisher: Informa UK Limited
Date: 20-02-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 09-2018
Publisher: IEEE
Date: 12-2015
Publisher: Springer Science and Business Media LLC
Date: 13-10-2020
Publisher: IEEE
Date: 05-2009
Publisher: Elsevier BV
Date: 11-2016
Publisher: Informa UK Limited
Date: 07-01-2015
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 04-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Publisher: Institution of Engineering and Technology (IET)
Date: 09-06-2017
Publisher: Hindawi Limited
Date: 2014
DOI: 10.1155/2014/837050
Abstract: This work addresses the problem of tracking mobile robots in indoor wireless sensor networks (WSNs). Our approach is based on a localization scheme with RSSI (received signal strength indication) which is used widely in WSN. The developed tracking system is designed for continuous estimation of the robot’s trajectory. A WSN, which is composed of many very simple and cheap wireless sensor nodes, is deployed at a specific region of interest. The wireless sensor nodes collect RSSI information sent by mobile robots. A range-based data fusion scheme is used to estimate the robot’s trajectory. Moreover, a Kalman filter is designed to improve tracking accuracy. Experiments are provided to assess the performance of the proposed scheme.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Wiley
Date: 24-10-2020
DOI: 10.1002/RNC.4761
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2018
Publisher: Elsevier BV
Date: 04-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: IEEE
Date: 05-2015
Publisher: IGI Global
Date: 2011
DOI: 10.4018/978-1-61350-153-5.CH002
Abstract: This chapter focuses on the energy efficiency and reliability issues when applying the novel compressive sensing technique in wireless visual sensor networks. An explanation is given for why compressive sensing is useful for visual sensor networks. The relationships between sparsity control and compression ratio, the effect of block-based s ling on reconstruction quality, complexity consideration of reconstruction process for real-time applications, and compensation for packets missing in network flows are discussed. We analyse the effectiveness of using the 2-dimensional Haar wavelet transform for sparsity control, the difference between compressive s ling in spatial and frequency domains, and the computation of the prime-dual optimisation method and the log barrier algorithm for reconstruction. The effectiveness of the approach on recovered image quality is evaluated using Euclidean distance and variance analysis.
Publisher: Elsevier BV
Date: 05-2018
Publisher: IEEE
Date: 09-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2008
Publisher: Informa UK Limited
Date: 18-06-2020
Publisher: SPIE
Date: 28-12-2005
DOI: 10.1117/12.639009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: Wiley
Date: 13-10-2021
DOI: 10.1002/RNC.5828
Abstract: In this article, a reinforcement learning (RL)‐based robust control strategy is proposed for uncertain heterogeneous multi‐agent systems to achieve optimal collision‐free time‐varying formations. Without using any global information, a fully distributed adaptive observer is developed to estimate both dynamics and states of the reference and disturbance systems. The observer parameters are found by an observed model‐based or a model‐free off‐policy RL algorithm. Using the internal model principle, a novel optimal robust formation control strategy is developed based on another proposed off‐policy RL algorithm. The algorithm addresses the nonquadratic optimization problem when the system model is completely unknown. Taking the bushfire edge tracking and patrolling task for an unmanned aerial vehicle‐unmanned ground vehicle heterogeneous system as an ex le, the effectiveness and robustness of the developed control strategy are verified by simulations.
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 07-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2014
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2020
Publisher: SPIE
Date: 30-03-2004
DOI: 10.1117/12.522049
Publisher: Informa UK Limited
Date: 22-11-2016
Publisher: Informa UK Limited
Date: 03-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 08-0370
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2021
DOI: 10.1137/19M1307974
Publisher: IEEE
Date: 2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: IEEE
Date: 07-2019
Publisher: Elsevier BV
Date: 07-2017
Publisher: IEEE
Date: 06-2016
Publisher: Elsevier BV
Date: 08-2017
Publisher: IEEE
Date: 02-2016
Publisher: Wiley
Date: 09-2011
DOI: 10.1002/WCM.926
Publisher: Institution of Engineering and Technology (IET)
Date: 06-2014
Publisher: Elsevier BV
Date: 2017
Publisher: Institution of Engineering and Technology (IET)
Date: 1996
Publisher: Elsevier BV
Date: 08-2001
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2002
End Date: 2005
Funder: Australian Research Council
View Funded ActivityStart Date: 2004
End Date: 2008
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 2022
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2002
End Date: 02-2005
Amount: $260,385.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2004
End Date: 12-2008
Amount: $150,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 12-2022
Amount: $286,000.00
Funder: Australian Research Council
View Funded Activity