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  • 1.
    Chew, Weng Chuen
    et al.
    Monash University, Malaysia.
    Ng, Kok Yew
    Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering. Monash University, Malaysia.
    Khoo, BH
    Monash University, Malaysia.
    ReCon-AVe: Remote Controlled Automobile Vehicle For Data Mining And Analysis2015In: 39TH ANNUAL IEEE COMPUTERS, SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC 2015), VOL 2, IEEE , 2015, p. 569-574Conference paper (Refereed)
    Abstract [en]

    This paper explores the control of an automobile mounted with a BlackWidow 1.0 microcontroller from a remote location using a smartphone or a computer as a data mining and analysis device as well as for the purposes of first response search and rescue during a disaster relief operation. Custom application programs; ReCon-A for the Android platform and ReCon-V for Microsoft Windows are designed specifically for this project to control the ReCon-AVe vehicle. It is found that the remote controllers are able to control the automobile from distance of more than 20m away in indoor conditions using direct connections. In outdoor conditions, communications using the computer as the remote controller can reach up to 35m while using the smartphone can achieve up to 25m away. Other than that, tests show that the response time of ReCon-AVe is less than 60ms in indoor conditions and 85ms in outdoor conditions. In addition, it can provide visual feedback to the user at a minimum 16fps that also comes with a panning capability. Apart from that, ReCon-AVe proves its capabilities to acquire two different types of sensory data obtained from sensors and then have them transferred back to the user wirelessly for data mining and analysis.

  • 2.
    Jack Lee, Wing
    et al.
    Monash University of Malaysia, Malaysia.
    Ng, Kok Yew
    Linköping University, Department of Electrical Engineering. Monash University of Malaysia, Malaysia.
    Luh Tan, Chin
    Monash University of Malaysia, Malaysia; Trity Technology, Malaysia.
    Pin Tan, Chee
    Monash University of Malaysia, Malaysia; Trity Technology, Malaysia.
    Real-Time Face Detection And Motorized Tracking Using ScicosLab and SMCube On SoCs2016In: 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), IEEE, 2016, article id UNSP Su23.3Conference paper (Refereed)
    Abstract [en]

    This paper presents a method for real-time detection and tracking of the human face. This is achieved using the Raspberry Pi microcomputer and the Easylab microcontroller as the main hardware with a camera mounted on servomotors for continuous image feed-in. Real-time face detection is performed using Haar-feature classifiers and ScicosLab in the Raspberry Pi. Then, the Easylab is responsible for face tracking, keeping the face in the middle of the frame through a pair of servomotors that control the horizontal and vertical movements of the camera. The servomotors are in turn controlled based on the state-diagrams designed using SMCube in the EasyLab. The methodology is verified via practical experimentation.

  • 3.
    Jia Wei Tang, Samuel
    et al.
    Monash University, Australia.
    Ng, Kok Yew
    Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering. Monash University, Malaysia.
    Khoo, BH
    Monash University, Malaysia.
    Parkkinen, Jussi
    University of Eastern Finland, Finland.
    Real-Time Lane Detection and Rear-End Collision Warning System On A Mobile Computing Platform2015In: 39TH ANNUAL IEEE COMPUTERS, SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC 2015), VOL 2, IEEE , 2015, p. 563-568Conference paper (Refereed)
    Abstract [en]

    Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, the high cost of components and equipment have limited such safety systems to higher-end and luxury vehicles. This paper proposes an economical method of using a smartphone application for real-time lane detection and rear-end collision warning system for drivers on the road. The Android-based application uses image-processing algorithms coupled with the monoscopic camera on the smartphone as the main sensor to perform lane and vehicle detections. The novelty of this work lies in the use of the monocular vision of the camera to estimate the distance with the vehicle up ahead. The system is able to distinguish unintentional lane departure and if the driver is traveling too close to the vehicle ahead. An acoustic warning will notify the driver of a potential accident.

  • 4.
    Kee, Chew Yee
    et al.
    Monash University, Malaysia.
    Tan, Chee Pin
    Monash University, Malaysia.
    Ng, Kok Yew
    Monash University, Malaysia.
    Trinh, Hieu
    Deakin University, Australia.
    New results in robust functional state estimation using two sliding mode observers in cascade2014In: International Journal of Robust and Nonlinear Control, ISSN 1049-8923, E-ISSN 1099-1239, Vol. 24, no 15, p. 2079-2097Article in journal (Refereed)
    Abstract [en]

    This paper presents a functional observer scheme using two sliding mode observers in cascade. A coordinate transformation is performed on the system such that existing sliding mode observer theory can be directly applied to achieve functional state estimation. The necessary and sufficient existence conditions for the scheme (in terms of the original system matrices) are also investigated, and they are found to be less stringent than earlier work on functional state estimation using one sliding mode observer; this could have benefits in terms of cost and simplicity. A numerical example verifies the effectiveness of the scheme.

  • 5.
    Ng, Kok Yew
    et al.
    Linköping University, Department of Electrical Engineering. Linköping University, Faculty of Science & Engineering. Univ Ulster, North Ireland; Monash Univ, Malaysia.
    Frisk, Erik
    Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.
    Krysander, Mattias
    Linköping University, Department of Electrical Engineering, Computer Engineering. Linköping University, Faculty of Science & Engineering.
    Eriksson, Lars
    Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering. Swiss Fed Inst Technol, Switzerland.
    A Realistic Simulation Testbed of a Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies2020In: IEEE CONTROL SYSTEMS MAGAZINE, ISSN 1066-033X, Vol. 40, no 2, p. 56-83Article in journal (Refereed)
    Abstract [en]

    The study of fault diagnosis on automotive engine systems has been an interesting and ongoing topic for many years. Numerous research projects were conducted by automakers and research institutions to discover new and more advanced methods to perform diagnosis for better fault isolation (FI). Some of the research in this field has been reported in.

  • 6.
    Ng, Kok Yew
    et al.
    Monash University, Australia.
    Tan, Chee Pin
    Monash University, Australia.
    Akmeliawati, Rini
    International Islamic University, Kuala Lumpur, Malaysia.
    Edwards, Christopher
    Leicester University, UK.
    Disturbance decoupled fault reconstruction using sliding mode observers2010In: Asian journal of control, ISSN 1561-8625, E-ISSN 1561-8625, Vol. 12, no 5, p. 656-660Article in journal (Refereed)
    Abstract [en]

    This paper investigates and presents conditions that guarantee disturbance decoupled fault reconstruction using sliding mode observers, which are less stringent than those of previous work, and show that disturbance reconstruction is not necessary. An aircraft model validates the ideas proposed in this paper.

  • 7.
    Ng, Kok Yew
    et al.
    Monash University, Malaysia.
    Tan, Chee Pin
    Monash University, Malaysia.
    Edwards, Christopher
    Leicester University, UK.
    Kuang, Ye Chow
    Monash University, Malaysia.
    New results in robust actuator fault reconstruction for linear uncertain systems using sliding mode observers2007In: International Journal of Robust and Nonlinear Control, ISSN 1049-8923, E-ISSN 1099-1239, Vol. 17, no 14, p. 1294-1319Article in journal (Refereed)
    Abstract [en]

    This paper presents a robust actuator fault reconstruction scheme for linear uncertain systems using sliding mode observers. In existing work, fault reconstruction via sliding mode observers is limited to either linear certain systems subject to unknown inputs, relative degree one systems or a specific class of relative degree two systems. This paper presents a new method that is applicable to a wider class of systems with relative degree higher than one, and can also be used for systems with more unknown inputs than outputs. The method uses two sliding mode observers in cascade. Signals from the first observer are processed and used to drive the second observer. Overall, this results in actuator fault reconstruction being feasible for a wider class of systems than using existing methods. A simulation example verifies the claims made in this paper.

  • 8.
    Ng, Kok Yew
    et al.
    Monash University, Malaysia.
    Tan, Chee Pin
    Monash University, Malaysia.
    Man, Zhihong
    Swinburne University of Technology, Hawthorn, Australia.
    Akmeliawati, Rini
    International Islamic University, Jalan Gombak, Kuala Lumpur, Malaysia.
    New results in disturbance decoupled fault reconstruction in linear uncertain systems using two sliding mode observers in cascade2010In: International Journal of Control, Automation and Systems, ISSN 1598-6446, E-ISSN 2005-4092, Vol. 8, no 3, p. 506-518Article in journal (Refereed)
    Abstract [en]

    This paper presents a disturbance decoupled fault reconstruction (DDFR) scheme using two sliding mode observers in cascade. Measurable signals from the first observer are found to be the output of a fictitious system that is driven by the fault and disturbances. Then the signals are fed into a second observer which will reconstruct the fault. Sufficient conditions which guarantee DDFR are investigated and presented in terms of the original system matrices, and they are found to be less conservative than if only one single observer is used; therefore DDFR can be achieved for a wider class of systems using two sliding mode observers. A simulation example validates the claims made in this paper.

  • 9.
    Ng, Kok Yew
    et al.
    Monash University, Malaysia.
    Tan, Chee Pin
    Monash University, Malaysia.
    Oetomo, Denny
    University of Melbourne, Australia.
    Disturbance decoupled fault reconstruction using cascaded sliding mode observers2012In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 48, no 5, p. 794-799Article in journal (Refereed)
    Abstract [en]

    This paper presents a disturbance decoupled fault reconstruction (DDFR) scheme using cascaded sliding mode observers (SMOs). The processed signals from a SMO are found to be the output of a fictitious system which treats the faults and disturbances as inputs; the ?outputs? are then fed into the next SMO. This process is repeated until the attainment of a fictitious system which satisfies the conditions that guarantee DDFR. It is found that this scheme is less restrictive and enables DDFR for a wider class of systems compared to previous work when only one or two SMOs were used. This paper also presents a systematic routine to check for the feasibility of the scheme and to calculate the required number of SMOs from the outset and also to design the DDFR scheme. A design example verifies its effectiveness.

  • 10.
    Ng, Kok Yew
    et al.
    Linköping University, Department of Electrical Engineering, Vehicular Systems.
    Tan, Chee Pin
    Oetomo, Denny
    Enhanced fault reconstruction using cascaded sliding mode observers2012Conference paper (Refereed)
    Abstract [en]

    This paper presents a disturbance decoupled fault reconstruction (DDFR) scheme using cascaded sliding mode observers. The processed signals from an observer are found to be the output of a fictitious system which treats the faults and disturbances as inputs; the ‘outputs’ are then fed into the next observer. This process is repeated until a fictitious system which satisfies the conditions that guarantee DDFR is attained. It is found that the scheme in this paper is less restrictive and that it enables DDFR for a wider class of systems compared to previous work when only one or two observers were used. This paper also presents a systematic routine to design the DDFR scheme. A design example verifies its effectiveness.

  • 11.
    Ooi, Jeremy Hor Teong
    et al.
    Monash University Malaysia.
    Ng, Kok Yew
    Monash University Malaysia.
    Tan, Chee Pin
    Monash University Malaysia.
    State and Fault Estimation For Infinitely Unobservable Descriptor Systems Using Sliding Mode Observers2014In: Asian journal of control, ISSN 1561-8625, E-ISSN 1561-8625Article in journal (Refereed)
    Abstract [en]

    This paper presents a novel scheme for estimating states and faults for a class of infinitely unobservable descriptor systems using sliding mode observers (SMOs). Treating certain states of the original infinitely unobservable system as unknown inputs results in a reduced-order system that is infinitely observable. Then by designing the SMO based on the reduced-order system, state estimation and fault reconstruction is achieved, thus relaxing the infinite observability requirement of the original system. The necessary and sufficient conditions in terms of the original system matrices are also investigated. A simulation example verifies the claims made in this paper.

1 - 11 of 11
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