International Journal of Control Automation and Systems (INT J CONTROL AUTOM)

Publisher: Institute of Control, Automation, and System Engineers (Korea); Taehan Chŏnʼgi Hakhoe, Springer Verlag

Journal description

Current impact factor: 1.07

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.065
2012 Impact Factor 0.953
2011 Impact Factor 0.749
2010 Impact Factor 0.853
2009 Impact Factor 0.77
2008 Impact Factor 0.59
2007 Impact Factor 0.468
2006 Impact Factor 0.837

Impact factor over time

Impact factor
Year

Additional details

5-year impact 0.90
Cited half-life 3.50
Immediacy index 0.13
Eigenfactor 0.00
Article influence 0.20
Website International Journal of Control, Automation, and Systems website
Other titles Journal of control, automation, and systems
ISSN 1598-6446
OCLC 214059131
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as arXiv.org
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Mechanical resonant modes of the actuator severely impede the efforts in achieving high precision in head positioning servo system of hard disk drives (HDD). Hence it is important that these modes be properly compensated. The conventional approach is to use a notch filter in cascade with the nominal controller, which works well if the resonant frequencies are known and do not vary during operation. However, in reality, frequency and damping ratio of the resonant modes vary in massproduced systems. They also get changed over time due to wear and tear. As a result, auto-tuning or adaptation of the notch filters is required to maintain the performance at the same level. In this paper, a discrete time adaptive controller is presented in a simple and yet efficient way to suppress the effects of resonant modes. Effectiveness of the proposed compensator is demonstrated through simulation and experiments by implementing the compensator for a Voice Coil Motor (VCM) actuator used in HDD.
    International Journal of Control Automation and Systems 12/2015; 13(06):in Press.
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    ABSTRACT: This paper deals with the theoretical investigation of the importance of cross-correlation in mobile robot localization. Two different case studies were conducted to examine the effects of cross-correlation terms on the estimation. The first case refers to a situation when a mobile robot moves and calculates its position relative to a landmark, while in the second case the mobile robot is independent of the landmark position. The preliminary results obtained have indicated that the updated state covariance of the mobile robot that is independent of the landmark position could decrease or increase compared to that of the mobile robot that depends on the landmark position. The results are then evaluated through simulation which is consistently agrees with the theoretical results.
    International Journal of Control Automation and Systems 10/2015; 13(5). DOI:10.1007/s12555-014-0076-6
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    ABSTRACT: In this paper, a new systematic approach is presented to further decrease the conservativeness in stability analysis condition and controller design. Non-quadratic Lyapunov function is utilized to derive stability conditions in terms of linear matrix inequalities. Also, the control problem is formulated in a general eigenvalue problem. Considering the concept of decay rate and control input constraint, a new systematic procedure is proposed to calculate a maximum bound for the upper bounds of the time derivatives of the membership functions. Moreover, some slack matrices are introduced that help to reduce conservativeness. The number of inequalities are few compared to the newly published works, which helps the feasibility in the case of large number of fuzzy rules. Simulation examples and comparison results demonstrate the merits of this method.
    International Journal of Control Automation and Systems 09/2015; 13(4). DOI:10.1007/s12555-013-0497-7
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    ABSTRACT: This paper investigates an adaptive leader-follower formation control problem of multiple mobile robots in the presence of unknown skidding and slipping. First, we employ the concept of virtual robots to achieve the desired formation and derive the kinematics of the virtual leader and follower robots considering skidding and slipping effects. Then, we design an adaptive formation controller based on a two-dimensional error surface where the adaptive technique is used for compensating the unknown skidding and slipping effects that influence the follower robots. From Lyapunov stability theorem, we show that all errors of the closed-loop system are uniformly ultimately bounded, and thus the desired formation is successfully achieved regardless of the presence of unknown skidding and slipping effects. Simulation results are provided to demonstrate the effectiveness of the proposed formation control scheme.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0249-3
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    ABSTRACT: In this paper, we propose a Bernoulli filter for estimating a vehicle’s trajectory under random finite set (RFS) framework. In contrast to other approaches, ego-motion vector is considered as the state of an extended target while the features are considered as multiple measurements that originated from the target. The Bernoulli filter estimates the state of the extended target instead of tracking individual features, which presents a recursive filtering framework in the presence of high association uncertainty. Experimental results illustrate that the proposed approach exhibits good robustness under real traffic scenarios.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0192-3
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    ABSTRACT: In this study, the robust fault tolerant tracking problem is investigated for a linearized hypersonic vehicle model with the bounded external disturbance and the sensor fault. Firstly, the nonlinear longitudinal dynamics of hypersonic vehicle is linearized as a linear time-invariant system with sensor fault, a reference model is introduced for the aim of fault tolerant tracking control. And then an observer-based fault tolerant output feedback tracking controller design approach is proposed by using the linear matrix inequalities (LMIs) technique. The asymptotic stability of the whole closed-loop system is analyzed using the well-known Lyapunov stability method. Finally, the simulation results are presented to verify the applicability of the developed fault tolerant approach.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0169-2
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    ABSTRACT: This paper proposes a leader-following consensus condition of multi-agent systems with both communication delay and probabilistic self-delay by employing a suitable piecewise Lyapunov-Krasovskii functional and the average dwell time approach. A new consensus criterion for the systems is established in terms of linear matrix inequalities (LMIs). One numerical example is included to show the effectiveness of the proposed method.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-013-0349-5
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    ABSTRACT: The paper presents an application of the transformation input — state of the system, built on the basis of elements of the theory of differential geometry allowing linearization of a certain class of nonlinear generators to a linear form. The necessary conditions fulfilled by nonlinear system undergoing linearization process are presented. Numerical solutions of the nonlinear equations of state together with linearized system obtained from direct transformation of the state space are included.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0026-3
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    ABSTRACT: In this paper, observer-based reliable control problem for nonlinear networked control systems (NCSs) with quadratic protocol (QP) in presence of actuator fault is studied. Two sensor nodes are employed for system output measurement and transmission to remote observer-based reliable controller (RORC) based on QP. In spite of the majority of the existing results, both measurement and actuation channels are taken into account for data transmission of sensor-to-RORC and RORC-to actuator, respectively. A RORC is developed to estimate the system states and simultaneously generate the control input at its side. The closed-loop system is modeled by a hybrid system with interval time-varying delays in continuous dynamics and in the reset conditions. By using Lyapunov-Krasovskii functional method and some matrix manipulations, designing of RORC and the QP parameters are formulated in linear matrix inequalities (LMIs) framework with equality constraint. Numerical simulations are presented to show the effectiveness and applicability of the proposed approach.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0212-3
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    ABSTRACT: In this paper, the resilient control under the Denial-of-Service (DoS) attack is rebuilt within the framework of Joint Directors of Laboratories (JDL) data fusion model. The JDL data fusion process is characterized by the so-called Game-in-Game approach, where decisions are made at different layers. The interactions between different JDL levels are considered which take the form of Packet Delivery Rate of the communication channel. Some criterions to judge whether the cyber defense system is able to protect the underlying control system is provided. Finally, a numerical example is proposed to verify the validity of the proposed method.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0316-9
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    ABSTRACT: This paper deals with the robust guaranteed-cost H ∞ reliable control problem for delta operator switched uncertain linear systems with actuator faults. The upper bound of the guaranteed-cost function is determined and the closed-loop system can be guaranteed some H ∞ performance by using arbitrary and state switching control approaches. Finally, a simulation example is provided to illustrate the efficiency of the proposed methods.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-013-0539-1
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    ABSTRACT: This paper deals with the problem of robust output feedback control for a class of 5DOF upper-limb exoskeleton robot. It is able to assist with shoulder, elbow and wrist joint movements. Robustness is assured for the proposed controller in the presence of model uncertainties. Ultimate boundedness is proved for the presented adaptive observer-based controller. The other advantage of the proposed method is that the implemented information for feedback is only the measurement of position. The estimation of velocity and acceleration is provided by an adaptive observer without additional sensors. By utilizing a novel adaptive logic-based switching control scheme, a trajectory tracking performance is well achieved with a tunable error bound. The simulation example also verifies the effectiveness of the proposed control scheme.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-013-0389-x
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    ABSTRACT: A fuzzy feature representation for white blood cell differential counting is proposed to diagnose types of acute leukemia. The accuracy of diagnosis is higher than that by numerical features by dealing with uncertainty of white blood cell features and inflexibility of diagnosing. Experiments on acute leukemia diagnosis use 120 acute leukemia images and fuzzy decision tree method with the accuracy rate of diagnosis is 84% using fuzzy features and 76.6% using numerical features. Given the importance of accurate diagnosis of acute leukemia in patients, this proposal is essential and planned to be introduced in an Indonesian hospital.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-012-0393-6
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    ABSTRACT: Unstable object tracking usually happens in hand-held video sequences that consist of the movements of both tracked object and camera. The tracked objects in these sequences are highly unpredictable in displacement and appearance changes, and create more challenge than tracking with a static camera. In this paper, we propose a two-mode tracking model for dealing with unstable situations, such as scaling, pose changes, and abrupt movements. The short-range tracking mode is for the scaling and appearance changes. This mode incorporates Lukas and Kanade’s optical flow and the CAMShift, in which to achieve high accuracy, both color and corner point features are fused. The long rangetracking mode utilizes particle filter and CAMShift to capture fast and abrupt motion. We design a mode selection strategy based on a failure detection method for adaptation with each tracking case. The proposed tracking model shows high performance with difficult sequences against the recent tracking systems, as well as achieving real-time processing on smart phones.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0126-0
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    ABSTRACT: With the increasing presence and adoption of wireless sensor networks (WSNs), the demand of data acquisition and data fusion are becoming stronger and stronger. In WSN, sensor nodes periodically sense data and send them to the sink node. Since the network consists of plenty of low-cost sensor nodes with limited battery power and the sensed data usually are of high temporal redundancy, prediction- based data fusion has been put forward as an important issue to reduce the number of transmissions and save the energy of the sensor nodes. Considering the fact that the sensor node usually has limited capabilities of data processing and storage, a novel prediction-based data fusion scheme using grey model (GM) and optimally pruned extreme learning machine (OP-ELM) is proposed. The proposed data fusion scheme called GM-OP-ELM uses a dual prediction mechanism to keep the prediction data series at the sink node and sensor node synchronous. During the data fusion process, GM is introduced to initially predict the data of next period with a small number of data items, and an OPELM- based single-hidden layer feedforward network (SLFN) is used to make the initial predicted value approximate its true value with extremely fast speed. As a robust and fast neural network learning algorithm, OP-ELM can adaptively adjust the structure of the SLFN. Then, GM-OP-ELM can provide high prediction accuracy, low communication overhead, and good scalability. We evaluate the performance of GM-OP-ELM on three actual data sets that collected from 54 sensors deployed in the Intel Berkeley Research lab. Simulation results have shown that the proposed data fusion scheme can significantly reduce redundant transmissions and extend the lifetime of the whole network with low computational cost.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0309-8
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    ABSTRACT: The ability to follow or move alongside a person is a necessary skill for an autonomous mobile agent that works with human users. To accomplish such tasks, we develop a new scheme of visual-target detection and tracking for a wheelchair robot equipped with Microsoft Kinect that captures RGB images along with per-pixel depth information (RGB-D camera). The speeded-up semi-supervised online boosting algorithm is employed to provide the robust description of feature for environments and the target person from RGB images. Based on the environmental Haar-like features, we utilize an extended Kalman filter (EKF) based localization to estimate robot pose. Then obstacle avoidance navigation approach based on ŋ 3 spline trajectory planning and optimization are proposed for the wheelchair robot. Finally, the experimental results are provided to demonstrate the effectiveness and feasibility in real world environments.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0353-4
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    ABSTRACT: The first part of this paper extends the Nonlinear Generalised Minimum Variance (NGMV) controller to improve the robustness of its control or set-point tracking performance. This is achieved by replacing the Kalman filter included in the original NGMV controller with an observer to minimise the effect of uncertainty, which includes unknown disturbance, modelling error, and faults. The observer design also allows the NGMV controller to be utilised in fault monitoring. More specifically, the second part of this paper obtains the observer gain by solving a multi-objective optimisation problem through the application of a genetic algorithm so that the residual signal becomes sensitive to faults and insensitive to any other uncertainty. The control and fault monitoring performance of the extended NGMV controllers is tested by application to a nonlinear tank model.
    International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0079-3