ORCID Profile
0000-0002-2269-2912
Current Organisations
Flinders University
,
University of Adelaide
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Research Topics
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.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Electrical and Electronic Engineering | Engineering not elsewhere classified | Energy Generation, Conversion and Storage Engineering | Mineral Processing/Beneficiation | Decision Support and Group Support Systems | Mechanical Engineering | Control Systems, Robotics and Automation
ANZSRC Socio-Economic Objective (SEO)
Solar-Thermal Energy | Beneficiation or Dressing of Iron Ores | Mining and Extraction of Precious (Noble) Metal Ores | Mining and Extraction of Copper Ores |
Related Links
Publications
A comparative artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer
Publisher: Elsevier BV
Date: 02-2013
Distributed active shock absorbers for flexible structures
Publisher: IEEE
Date: 05-2008
A new zone temperature predictive modeling for energy saving in buildings
Publisher: Elsevier BV
Date: 2012
Analytical/experimental sensitivity study of key design and operational parameters of perforated Maisotsenko cooler based on novel wet-surface theory
Publisher: Elsevier BV
Date: 03-2020
A comparative approach of inverse modelling applied to an irradiative batch dryer employing several artificial neural networks
Publisher: Elsevier BV
Date: 04-2014
Intelligent modelling of MIMO nonlinear dynamic process plants for predictive control purposes
Publisher: Elsevier BV
Date: 2008
A neural network approach for improving airfoil active flutter suppression under control-input constraints
Publisher: SAGE Publications
Date: 28-05-2021
Abstract: This study deals with improving airfoil active flutter suppression under control-input constraints from the optimal control perspective by proposing a novel optimal neural-network control. The proposed approach uses a modified value function approximation dynamically tuned by an extended Kalman filter to solve the Hamilton–Jacobi–Bellman equality online for continuously improved optimal control to address optimality in parameter-varying nonlinear systems. Control-input constraints are integrated into the controller synthesis by introducing a generalized nonquadratic cost function for control inputs. The feasibility of using a performance index involving the nonquadratic control-input cost with the modified value function approximation is examined through the Lyapunov stability analysis. Wind tunnel experiments were conducted for controller validation, where an optimal controller synthesized offline via linear parameter-varying technique was used as a benchmark and compared. It is shown, both theoretically and experimentally, that the proposed method can effectively improve airfoil active flutter suppression under control-input constraints.
An artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer
Publisher: Elsevier BV
Date: 2012
Nonlinear optimal control for active suppression of airfoil flutter via a novel neural-network-based controller
Publisher: IEEE
Date: 07-2017
Bifurcation control of a flexible beam under principal parametric excitation
Publisher: IEEE
Date: 2000
Double-command feedforward-feedback control of a nonlinear plant
Publisher: Springer Science and Business Media LLC
Date: 04-08-2010
Powder metallurgy synthesis of Heusler Alloys: effects of process parameters
Publisher: MDPI AG
Date: 15-05-2019
DOI: 10.3390/MA12101596
Abstract: Ni45Co5Mn40Sn10 Heusler alloy was fabricated with elemental powders, using a powder processing route of press and sinter, in place of vacuum induction melting or arc melting route. The effects of process parameters, such as compaction load, sintering time, and temperature, on the transformation characteristics and microstructures of the alloy were investigated. While the effect of compaction pressure was not significant, those of sintering time and temperature are important in causing or annulling martensitic transformation, which is characteristic of Heusler alloys. The processing condition of 1050 °C/24 h was identified to be favorable in producing ferromagnetic Heusler alloy. Longer durations of sintering resulted in an increased γ-phase fraction, which acts as an impediment to the structural transformation.
An improved semi-analytical model for evaluating performance of gas turbine power plants
Publisher: Elsevier BV
Date: 03-2023
Intelligent control of a nonlinear tank reactor
Publisher: Wiley
Date: 28-02-2011
DOI: 10.1002/ASJC.347
Parametric analysis for robust force/torque tracking control of a virtual stiffness-damping system in aeroelastic instability testing
Publisher: IEEE
Date: 07-2019
Simulation and experimental study of inverse heat conduction problem
Publisher: Trans Tech Publications, Ltd.
Date: 05-2011
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.233-235.2820
Abstract: In this paper, a neural network method is proposed to solve a one dimensional inverse heat conduction problem (IHCP). The method relies on input/output data of an unknown system to create an intelligent neural network model. Multi layer perceptrons with recurrent properties are utilised in the model. Prepared input/output data are used to train the neural network. Reliable checking processes are also offered to justify the robustness of the method. A numerical sequential function specification (SFS) method is used as another technique to solve the IHCP. The numerical result is compared with that of the proposed method and good agreement is shown between the two methods. However, the numerical method can be only used to solve the IHCP off-line due to the high computation requirement. The proposed neural network method can be used in real-time situations as shown in the experimental tests.
Erratum to An artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer. [Int. Comm. Heat Mass Trans. 39 (2012) 40-45].
Publisher: Elsevier BV
Date: 07-2012
Anti-overshoot control of model helicopter's yaw angle with combination of fuzzy controller and fuzzy brake
Publisher: IEEE
Date: 11-2007
Double-command fuzzy control of a nonlinear CSTR
Publisher: Springer Science and Business Media LLC
Date: 2010
A neural network-based multi-zone modelling approach for predictive control system design in commercial buildings
Publisher: Elsevier BV
Date: 06-2015
Using Magnetorheological (MR) Fluid as Distributed Actuators for Smart Structures
Publisher: IEEE
Date: 05-2009
Development and validation of an analytical model for perforated (multi-stage) regenerative M-cycle air cooler
Publisher: Elsevier BV
Date: 10-2018
Design of a Training Based Fuzzy Controller for Power Plant De-superheaters
Publisher: IEEE
Date: 02-2007
Double-command fuzzy control of a nonlinear CSTR
Publisher: IEEE
Date: 06-2008
Using novel integrated Maisotsenko cooler and absorption chiller for cooling of gas turbine inlet air
Publisher: Elsevier BV
Date: 09-2019
A comparative and critical review on gas turbine intake air pre-cooling strategies
Publisher: Elsevier BV
Date: 06-2023
A combination of linear and nonlinear activation functions in neural networks for modeling a de-superheater
Publisher: Elsevier BV
Date: 02-2009
Ferromagnetic shape memory Heusler materials: synthesis, microstructure characterization and magnetostructural properties
Publisher: MDPI AG
Date: 11-06-2018
DOI: 10.3390/MA11060988
Model predictive control for energy-efficient buildings: An airport terminal building study
Publisher: IEEE
Date: 06-2014
Design and stability discussion of a hybrid intelligent controller
Publisher: Elsevier BV
Date: 2008
Techniques to characterize ternary and quaternary ferromagnetic shape memory alloys
Publisher: Informa UK Limited
Date: 24-12-2020
Developing a virtual stiffness-damping system for airfoil aeroelasticity testing
Publisher: Elsevier BV
Date: 03-2020
Nonlinear control of a parametrically excited system subject to actuator saturation
Publisher: IEEE
Date: 2003
Hybrid intelligent control of a lab model helicopter pitch dynamics
Publisher: IEEE
Date: 11-2007
Synchronization and time resolution improvement for 802.11 WLAN OWPT Measurement
Publisher: American Society of Civil Engineers
Date: 23-07-2009
Developing a virtual stiffness-damping system for airfoil aeroelasticity testing
Publisher: IEEE
Date: 02-2019
Neuro-predictive control of an infrared dryer with a feedforward-feedback approach
Publisher: Wiley
Date: 17-11-2015
DOI: 10.1002/ASJC.1038
Simulation of innovative hybridizing M-cycle cooler and absorption-refrigeration for pre-cooling of gas turbine intake air: Including a case study for Siemens SGT-750 gas turbine
Publisher: Elsevier BV
Date: 05-2022
Multi-zone temperature prediction in a commercial building using artificial neural network model
Publisher: IEEE
Date: 06-2013
Intelligent control of a nonlinear tank reactor based on lyapunov direct method
Publisher: IEEE
Date: 02-2009
Approach for Near-Real-Time Pipe Burst Detection and Location Estimation Utilizing Any Sequence of Harmonics of the Transient Pressure Signal
Publisher: American Society of Civil Engineers (ASCE)
Date: 05-2023
Concentrating or non-concentrating solar collectors for solar Aided Power Generation?
Publisher: Elsevier BV
Date: 11-2017
Review of Classification for Wall Climbing Robots for Industrial Inspection Applications
Publisher: IEEE
Date: 08-2020
A new model predictive control scheme for energy and cost savings in commercial buildings: an airport terminal building case study
Publisher: Elsevier BV
Date: 07-2015
A hybrid model predictive control scheme for energy and cost savings in commercial buildings: simulation and experiment
Publisher: IEEE
Date: 07-2015
Approach for Near-Real-Time Pipe Burst Detection, Localization, and Quantification with Low Data Transmission and Sampling Rates
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2021
Linking and Comparison of the Damping of Fluid Transients and Frequency Response Diagram Methods for Pipe Leak and Burst Detection and Localization
Publisher: American Society of Civil Engineers (ASCE)
Date: 2023
Design and stability discussion of an hybrid intelligent controller for an unordinary system
Publisher: Wiley
Date: 09-2009
DOI: 10.1002/ASJC.129
An Influence Based Error Identification for Kinematics Calibration of Serial Robotic Manipulators
Publisher: Springer International Publishing
Date: 2019
A critical review of the most popular types of neuro control
Publisher: Wiley
Date: 02-08-2012
DOI: 10.1002/ASJC.449
Neural-network based online policy iteration for continuous-Time infinite-horizon optimal control of nonlinear systems
Publisher: IEEE
Date: 07-2015
Control inertia and fuzzy brakes
Publisher: IEEE
Date: 05-2008
Modified value-function-approximation for synchronous policy iteration with single-critic configuration for nonlinear optimal control
Publisher: Informa UK Limited
Date: 11-08-2021
Double-command feedforward-feedback control of a nonlinear plant
Publisher: IEEE
Date: 12-2009
Comprehensive exergetic study of regenerative Maisotsenko air cooler; formulation and sensitivity analysis
Publisher: Elsevier BV
Date: 04-2019
An artificial intelligence solution for heat flux estimation using temperature history; a two-input/two-output problem
Publisher: Informa UK Limited
Date: 04-11-2017
Distributed hybrid vibration absorbers for shock and forced vibrations
Publisher: Trans Tech Publications, Ltd.
Date: 05-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.166-169.1709
Abstract: The control methods used for free/shock vibration suppression are normally different from those used for forced vibration cancellation, because shock vibration is regarded as a type of transient vibration that is different in nature from steady-state forced vibration. However, both steady-state and shock excitations may occur in flexible structures, so there is a need to control both types of vibrations. To show the integration of the two different vibration control strategies, a hybrid control system based on adhesive strain gauges and PZT patches is proposed to construct a distributed resonant absorber and shock absorber together. The hybrid system is governed by a control arbitrator that decides which absorber should be active according to the different excitation conditions. The effectiveness of the integrated system is shown through simulation and experimental studies.
Characterizations of activated carbon-methanol adsorption pair including the heat of adsorptions
Publisher: American Chemical Society (ACS)
Date: 22-05-2015
DOI: 10.1021/JE501113Y
A design approach for feedback-feedforward control systems
Publisher: IEEE
Date: 12-2009
Radiation-enhanced thermal diode tank (RTDT) for refrigeration and air-conditioning (RAC) systems
Publisher: Elsevier BV
Date: 02-2023
A comparative study of different physics-based approaches to modelling of piezoelectric actuators
Publisher: IEEE
Date: 07-2013
Energy-Saving Potential of Thermal Diode Tank Assisted Refrigeration and Air-Conditioning Systems
Publisher: MDPI AG
Date: 29-12-2022
DOI: 10.3390/EN15010206
Abstract: Lowering the condensing temperature of the Refrigeration and Air-conditioning (RAC) system has been proven to effectively increase the system’s Coefficient of Performance (COP). This paper revolves around evaluating the energy-saving generated by applying a Thermal Diode Tank (TDT) in the RAC systems. The TDT is a novel invention, which is an insulated water tank equipped with gravity heat pipes. If the TDT was placed outdoors overnight, its inside water would theoretically be at the minimum ambient temperature of the previous night. When the TDT water is used to cool the condenser of RAC systems that operate during the daytime, a higher COP of this TDT assisted RAC (TDT-RAC) system could be achieved compared with the baseline system. In this study, a steady-state performance simulation model for TDT-RAC cycles has been developed. The model reveals that the COP of the TDT-RAC cycle can be improved by 10~59% over the baseline cycle depending on the compressor types. The TDT-RAC cycle with a variable speed compressor can save more energy than that with a fixed speed compressor. In addition, TDT-RAC cycles can save more energy with a higher day/night ambient temperature difference. There is a threshold tank size for a given TDT-RAC cycle to save energy, and the energy-saving can be improved by enlarging the tank size. A desk-top case study based on real weather data for Adelaide in January 2021 shows that 9~40% energy could be saved by TDT-RAC systems every summer day on average.
Optical sensing by polystyrene microspheres
Publisher: IEEE
Date: 07-2013
Performance estimation of adsorption cooling cycle with sorption hysteresis
Publisher: Elsevier BV
Date: 07-2016
Adaptive nonlinear optimal control for active suppression of airfoil flutter via a novel neural-network-based controller
Publisher: SAGE Publications
Date: 15-01-2018
Abstract: This paper proposes a novel adaptive nonlinear controller based on neural-networks (NNs) for active suppression of airfoil flutter (ASAF) from the optimal control perspective. Optimal control laws for locally nonlinear systems are synthesized in real time by solving the Hamilton–Jacobi–Bellman equation online with a proposed new form of NN-based value function approximation (VFA) and an extended Kalman filter. A systematic procedure based on linear matrix inequalities is further proposed for designing a scheduled parameter matrix that generalizes the new form of VFA to globally nonlinear systems to suit ASAF applications. Un-modeled dynamics are captured using an NN identifier. Comparisons drawn with a linear-parameter-varying optimal controller in wind-tunnel experiments confirm the effectiveness and validity of the proposed control scheme.
Vibration and control of a parametrically excited mechanical system
Publisher: IEEE
Date: 2006
Adaptive integral sliding mode control for active vibration absorber design
Publisher: IEEE
Date: 2000
Mixed mode operation for the Solar Aided Power Generation
Publisher: Elsevier BV
Date: 07-2018
Comparison of inverse modelling and optimization-based methods in the heat flux estimation problem of an irradiative dryer/furnace
Publisher: Elsevier BV
Date: 03-2017
Pipe Burst Detection, Localization, and Quantification Using the Transient Pressure Damping Method
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2020
The Resilience of the Grid from the Risk of Failure Due to Kite Thread Disturbance: Case Study Khatulistiwa Grid
Publisher: IEEE
Date: 11-2022
Proposing the concept of mini Maisotsenko cycle cooler for electronic cooling purposes; experimental study
Publisher: Elsevier BV
Date: 10-2021
Powder processing and characterisation of a quinary Ni-Mn-Co-Sn-Cu Heusler alloy
Publisher: Elsevier BV
Date: 2018
A design approach for feedback-feedforward control systems
Publisher: IEEE
Date: 06-2010
Performance Simulation Model of a Radiation-Enhanced Thermal Diode Tank-Assisted Refrigeration and Air-Conditioning (RTDT-RAC) System: A Novel Cooling System
Publisher: MDPI AG
Date: 09-09-2023
DOI: 10.3390/EN16186506
Intelligent predictive control of a model helicopter's yaw angle
Publisher: Wiley
Date: 11-2010
DOI: 10.1002/ASJC.243
A Novel Actuator Controller: Delivering a Practical Solution to Realization of Active-Truss-Based Morphing Wings
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2016
An enhanced physics-based model to estimate the displacement of piezoelectric actuators
Publisher: SAGE Publications
Date: 11-08-2015
Abstract: Piezoelectric actuators are the foremost actuators in the area of nanopositioning. However, the sensors employed to measure the actuator displacement are expensive and difficult, if not impossible, to use. Mathematical models can map the easy-to-measure electrical signals to the displacements of the actuators as the displacement sensors are replaced with the models. In addition, these models can be used in model-based control system design. Two main groups of mathematical models are used for this purpose: black box and physics-based models. As an advantage, the latter has a much smaller number of parameters reducing computational demand in real-time applications. However, physics-based models suffer from (1) the relatively low accuracy of the models and (2) non-standard and ad-hoc parameter identification methods. In this research, to improve the model accuracy, mathematical structure of a well-known physics-based model, the Voigt model, is enhanced by adding two complementary terms inspired by another model, the Preisach model. Then, a standard method based on the evolutionary algorithms is proposed to identify the model’s parameters. The proposed ideas are substantiated to increase the applicability and accuracy of the model, and they are easily extendable to other physics-based models of piezoelectric actuators. The newly proposed enhanced structure of the Voigt model doubles the estimation accuracy of the original model and results in accuracies comparable with black box models.
Active nonlinear vibration absorber design for flexible structures
Publisher: International Institute of Acoustics and Vibration (IIAV)
Date: 2007
A comprehensive review of the Maisotsenko-cycle based air conditioning systems
Publisher: Elsevier BV
Date: 08-2018
Physics-based modelling of a piezoelectric actuator using genetic algorithm
Publisher: IEEE
Date: 09-2013
Related Organisations
Related Funding Activities
Linkage Projects - Grant ID: LP120200352
Start Date: 11-2012
End Date: 06-2015
Amount: $195,000.00
Funder: Australian Research Council
View Funded ActivityIndustrial Transformation Training Centres - Grant ID: IC190100017
Start Date: 08-2020
End Date: 08-2026
Amount: $3,703,664.00
Funder: Australian Research Council
View Funded Activity