International Journal of Control Automation and Systems Impact Factor & Information

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

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
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  • Conditions
    • Author's pre-print on pre-print servers such as
    • 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
  • International Journal of Control Automation and Systems 06/2015; 13(3). DOI:10.1007/s12555-014-0097-1
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    ABSTRACT: This paper investigates the problem of state feedback H-infinity control for singular systems through delta operator approach. A necessary and sufficient condition is presented such that a singular delta operator system is admissible with a prescribed H-infinity performance, which can provide a unified expression of the existing H-infinity performance analysis results for singular continuous systems and singular discrete systems. The existence condition and explicit expression of a desirable H-infinity controller are also obtained for singular delta operator systems. The above design method can be used to singular continuous systems and singular discrete systems directly and the corresponding design results are also derived. All the conditions in this paper are in the form of strict linear matrix inequalities which can be solved easily. Some numerical examples are also provided to illustrate the effectiveness of the theoretical results in this paper.
    International Journal of Control Automation and Systems 06/2015; DOI:10.1007/s12555-013-0111-z
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    ABSTRACT: We propose a disturbance observer (DOB) based backstepping control which improves the position tracking performance in the presence of both friction and load force in an electro-hydraulic systems. The DOB is designed to estimate the disturbance including friction and load force, while avoiding amplification of the measurement noise. We use an auxiliary state variable to avoid the use of the derivative of the measured signal. This results in the avoidance of the amplification of the measurement noise. For position tracking with compensation of disturbances, a backstepping controller is design. The backstepping controller guarantees the ultimate boundedness of the tracking error in the presence of both friction and load force. The closed-loop stability is proven using Lyapunov’s theory.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0396-y
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    ABSTRACT: In this paper, we propose an actor-critic neuro-control for a class of continuous-time nonlinear systems under nonlinear abrupt faults, which is combined with an adaptive fault diagnosis observer (AFDO). Together with its estimation laws, an AFDO scheme, which estimates the faults in real time, is designed based on Lyapunov analysis. Then, based on the designed AFDO, a fault tolerant actor- critic control scheme is proposed where the critic neural network (NN) is used to approximate the value function and the actor NN updates the fault tolerant policy based on the approximated value function in the critic NN. The weight update laws for critic NN and actor NN are designed using the gradient descent method. By Lyapunov analysis, we prove the uniform ultimately boundedness (UUB) of all the states, their estimation errors, and NN weights of the fault tolerant system under the unpredictable faults. Finally, we verify the effectiveness of the proposed method through numerical simulations.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-014-0034-3
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    ABSTRACT: This paper addresses the problem of observer-based sensor fault reconstruction for discretetime systems subject to external disturbances via a descriptor system approach. First, an augmented descriptor system is formulated by letting the sensor fault term be an auxiliary state vector; then a discrete-time descriptor state observer is constructed to achieve concurrent reconstructions of original system states and sensor faults. Sufficient and necessary conditions for the asymptotic stability of the proposed observer are explicitly provided. To broaden its application scope, less restrictive existence conditions are further discussed. Further, sufficient conditions for the robust stability of the proposed observer are formulated in terms of linear matrix inequalities (LMIs) that can be conveniently solved using LMI optimization techniques. After that, an extension of the proposed linear approach to discretetime nonlinear systems with Lipschitz constraint is investigated. At last, two illustrative examples are given to verify the effectiveness of the proposed techniques.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-014-0098-0
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    ABSTRACT: This study researches the tracking control problem for discrete-time systems with multiple input delays affected by sinusoidal disturbances. This study is organized around the expression of sinusoidal and disturbances and the delay-free transformation. First, based on the periodic characteristic of the sinusoidal disturbance, the sinusoidal disturbances are considered as the output of an exosystem. By proposing a discrete variable transformation, the discrete-time system with multiple input delays and the quadratic performance index are transformed into equivalent delay-free ones. Then, by constructing an augmented system that comprises the states of the exosystems of sinusoidal disturbances, the reference input, and the delay-free transformation systems, the original tracking problem is transformed into the optimal tracking problem for a delay-free system with respect to the simplified performance index. The optimal tracking control (OTC) law is obtained from Riccati and Stein equations. The existent and uniqueness of the optimal control law is proved. A reduced-order observer is constructed to solve the problem of physically realizable for the items of the reference input and sinusoidal disturbances. Finally, the feasibility and effectiveness of the proposed approaches are validated by numerical examples.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0271-x
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    ABSTRACT: This paper investigates the problem of global output feedback regulation for a class of nonlinear systems with unknown time delay. It is also allowed to contain uncertain functions of all the states and input as long as the uncertainties satisfying certain bounded condition for the considered systems. In this paper, a constructive control technique has been proposed for controlling the systems. By using dynamic high-gain scaling approach and choosing an appropriate Lyapunov-Krasovskii functional, a delay-independent robust adaptive output feedback controller is constructed such that the states of the considered systems achieve global regulation. Two simulation examples are provided to demonstrate the effectiveness of the proposed design scheme.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0480-3
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    ABSTRACT: This paper presents an on-line bias-compensating recursive least squares (BCRLS) identification algorithm for Hammerstein output-error models disturbed by non-martingale difference sequence noise. By introducing an auxiliary vector uncorrelated with the noise, the consistent parameter estimation is obtained without the strictly positive real (SPR) condition. Convergence analysis of the recursive algorithm is performed using the ordinary differential equation (ODE) method. The simulation results validate the algorithm proposed.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0336-x
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    ABSTRACT: Visual tracking is one of the most important problems considered in computer vision. To improve the performance of the visual tracking, a part-based approach will be a good solution. In this paper, a novel method of visual tracking algorithm named part-based mean-shift (PBMS) algorithm is presented. In the proposed PBMS, unlike the standard mean-shift (MS), the target object is divided into multiple parts and the target is tracked by tracking each individual part and combining the results. For the part-based visual tracking, the objective function in the MS is modified such that the target object is represented as a combination of the parts and iterative optimization solution is presented. Further, the proposed PBMS provides a systematic and analytic way to determine the scale of the bounding box for the target from the perspective of the objective function optimization. Simulation is conducted with several benchmark problems and the result shows that the proposed PBMS outperforms the standard MS.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0483-0
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    ABSTRACT: To handle the communication constraint imposed by the serial communication channel in networked control systems (NCSs), we discuss a popular dynamic scheduling protocol called Maximum-Error-First (MEF) protocol. An important parameter in this protocol is the maximum allowable transmission interval (MATI), which indicates the communication cost for the task of control. To take as large MATI as possible under the constraint of guaranteeing stability is one formalization of the design requirement to consume as little communication resources as possible with the control performances ensured. A method to estimate this parameter based on the ℒ p norm is suggested in this paper, which gives larger estimation than some methods do in the literature through simulation examples.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-014-0092-6
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    ABSTRACT: In this paper, a control strategy for duct cleaning robot in the presence of uncertainties and various disturbances is proposed which combines the advantages of neural network technique and advanced adaptive robust theory. First of all, the configuration of the duct cleaning robot is introduced and the dynamic model is obtained based on the practical duct cleaning robot. Second, the RBF neural network is used to identify the unstructured and dynamic uncertainties due to its strong ability to approximate any nonlinear function to arbitrary accuracy. Using the learning ability of neural network, the designed controller can coordinately control the mobile plant and cleaning arm of duct cleaning robot with different dynamics efficiently. The neural network weights are only tuned on-line without tedious and lengthy off-line learning. Then, an adaptive robust control scheme based on RBF neural network is proposed, which ensures that the trajectories are accurately tracked even in the presence of external disturbances and uncertainties. Finally, based on the Lyapunov stability theory, the stability of the whole closed-loop control system, and the uniformly ultimately boundedness of the tracking errors are all strictly guaranteed. Moreover, simulation and experiment results are given to demonstrate that the proposed control approach can guarantee the whole system converges to desired manifold with well performance.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-012-0447-9
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    ABSTRACT: A fuzzy sliding mode control strategy for container cranes is discussed in this paper. In which, the sway motion of a payload is integrated into the trolley dynamics in a sliding surface. This scheme guarantees the asymptotic stability of the closed-loop system. Moreover, the control gain, which is the most important component, is a flexible gain and is tuned based on fuzzy laws to avoid chattering phenomena of the system. The performance of the closed-loop system has been simulated using MATLAB. In addition, to illustrate the efficiency of the proposed control law, experimental results are also provided.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-014-0150-0
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    ABSTRACT: This study proposes the design of an exoskeleton featuring minimized energy consumption during stand-to-sit and sit-to-stand (STS) motion and walking while carrying a load through the utilization of elastic and dissipative elements. In order to determine which phase and joint can utilize elastic and dissipative elements, we analyzed a human’s walk and STS motions. With this human motion data, we propose an elastic element for hip adduction and abduction (Ad/Ab), series dissipative actuation (SDA) using a semi-active hydraulic system for hip flexion and extension (Fl/Ex) and parallel elastic and series dissipative actuation (PESDA) for the knee Fl/Ex, which is combined with the SDA and the parallel elastic element. The effect of the developed exoskeleton (EXO) with a hip Ad/Ab spring, hip SDA and knee PESDA was evaluated by measuring the user’s ground reaction force (GRF). When wearing the EXO with a hip Ad/Ab spring, hip SDA and knee PESDA, the subject’s GRF was smaller as compared to when the subject was not wearing the EXO while walking and performing the STS motion under a 20-kg load condition, except during the heel strike of the walk motion.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0386-0
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    ABSTRACT: This paper studies the lateral and longitudinal path tracking control of four-wheel steering vehicles. By the introduction of virtual points, a robust and adaptive path tracking control strategy is proposed to simultaneously counteract modeling uncertainties, unexpected disturbances, and coupling effects. An adaptive model-based feedforward adaptive term and the robust integral of the sign of the error (RISE) feedback term can be used to yield an asymptotic tracking result, which improve the tracking performance and reduce the control effort. The stability of closed-loop system is analyzed using a Lyapunov-based method. Simulation results are provided to demonstrate the performance of the proposed controller under different driving conditions.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0441-x
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    ABSTRACT: Model Predictive Control (MPC) is a modern technique that, nowadays, encapsulates different optimal control techniques. For the case of non-linear dynamics, many possible variants can be developed which can lead to new control algorithms. In this manuscript a novel generic control system method is presented. This method can be applied to control, in an optimal way, different systems having non-linear dynamics. Particularly, in this paper, the proposed technique is presented in the context of developing a control system for autonomous flight of UAVs. This technique can be used for different types of aerial vehicles having any type of generic non-linear dynamics. The presented method is based on the use of iteratively defined optimal candidate state-space trajectories in global state-space. The method uses a generalized linearization process which, opposite to standard methods, does not need to be predefined in a certain equilibrium state but instead it is performed along any arbitrary state. The technique allows the inclusion of constraints with ease. The presented technique is used as a centralized control system unit that is able to control the full aircraft dynamics without the need of decoupling the system in different reduced modes. The technique is tested by making a Cessna 172 airplane model to perform the following autonomous unmanned maneuvers: climbing at constant speed to a desired altitude, heading change to a desired flight direction, and, coordinate turn.
    International Journal of Control Automation and Systems 04/2015; 13(2). DOI:10.1007/s12555-013-0416-y