International Journal of Robust and Nonlinear Control

Publisher: Wiley

Journal description

The intention of the International Journal of Robust and Nonlinear Control is to encourage the development of analysis and design techniques for uncertain systems. The Journal will provide a natural forum for papers on the theory and application of robust control system design including contributions on the H and loop transfer recovery design philosophies. Papers will also be welcome on methods of improving the robustness of well-established design procedures such as the Inverse Nyquist Array Sequential Return Difference Characteristic Loci and Linear Quadratic Gaussian methods. The wider issues of modelling and identifying uncertain systems will also be addressed and analysis procedures such as the Structured Singular Value will be of interest. Papers on applications will be particularly encouraged. Control techniques based on Heuristic or rule based design methods for uncertain systems will be considered together with procedures based on fuzzy set theory. Contributions on the design of controllers for nonlinear systems will be included particularly where these involve robust design issues. The main thrust of the Journal is on the control of uncertain systems but it is recognized that nonlinearities cause robust design problems of a similar nature.

Current impact factor: 3.18

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 3.176
2013 Impact Factor 2.652
2012 Impact Factor 1.9
2011 Impact Factor 1.554
2010 Impact Factor 1.495
2009 Impact Factor 1.906
2008 Impact Factor 1.56
2007 Impact Factor 1.637
2006 Impact Factor 1.108
2005 Impact Factor 1.048
2004 Impact Factor 0.772
2003 Impact Factor 0.792
2002 Impact Factor 1.021
2001 Impact Factor 0.84
2000 Impact Factor 0.657
1999 Impact Factor 0.426
1998 Impact Factor 0.256
1997 Impact Factor 0.624
1996 Impact Factor 0.762
1995 Impact Factor 0.623

Impact factor over time

Impact factor
Year

Additional details

5-year impact 2.94
Cited half-life 5.30
Immediacy index 0.45
Eigenfactor 0.01
Article influence 1.16
Website International Journal of Robust and Nonlinear Control website
Other titles International journal of robust and nonlinear control (Online), International journal of robust and nonlinear control, Robust and nonlinear control
ISSN 1099-1239
OCLC 44069290
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Wiley

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 12 months embargo
  • Conditions
    • Some journals have separate policies, please check with each journal directly
    • On author's personal website, institutional repositories, arXiv, AgEcon, PhilPapers, PubMed Central, RePEc or Social Science Research Network
    • Author's pre-print may not be updated with Publisher's Version/PDF
    • Author's pre-print must acknowledge acceptance for publication
    • Non-Commercial
    • Publisher's version/PDF cannot be used
    • Publisher source must be acknowledged with citation
    • Must link to publisher version with set statement (see policy)
    • If OnlineOpen is available, BBSRC, EPSRC, MRC, NERC and STFC authors, may self-archive after 12 months
    • If OnlineOpen is available, AHRC and ESRC authors, may self-archive after 24 months
    • Publisher last contacted on 07/08/2014
    • This policy is an exception to the default policies of 'Wiley'
  • Classification
    yellow

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: This manuscript develops a dual decomposition algorithm for the distributed control of reactive power and charging/discharging rates in microgrids with distributed solar generation and \storage capacities. Our setting considers physical constraints inherent to storage systems and voltage regulation constraints with the objective of minimizing a cost function that encompasses two aspects: the total cost of the active power consumed by the microgrid and its associated transmission losses over a finite time horizon. We provide a complete analysis of the convergence of the proposed algorithm and introduce a novel approach for the distributed approximation of the voltage prediction over the power grid. Simulations demonstrate the performance of the dual decomposition algorithm on a particular microgrid case. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control

  • No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control

  • No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: This paper investigates the problems of controller design and stability analysis for singularly perturbed switched systems subject to actuator saturation. A set of well-defined sufficient conditions for the existence of state feedback controllers is proposed, under which the closed-loop system is locally asymptotically stable for arbitrary switching law as long as the singular perturbation parameter is sufficiently small. With the obtained controller, the estimation problem of stability bound and basin of attraction of the closed-loop system is reduced to solving a convex optimization problem. A numerical example and a hydraulic servo position system are used to illustrate the obtained results. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: In this work, we focus on two main themes: (i) developing a more realistic macroscopic fundamental diagram-based nonlinear control-oriented model of urban traffic networks with time delays incorporated into model structure; and (ii) based on its linearized form subject to input delay, designing two new perimeter control architectures for one aggregated urban traffic region under unknown bounded external disturbances and parameter uncertainties. The feedback control laws design is performed in the context of model reference adaptive control approach. Simulation results based on a linearized model are also presented, which demonstrate in this case desired closed-loop adaptive control system performance. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control

  • No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: This paper proposes a consensus protocol for a class of high-order multiagent systems under directed networks. It is supposed that each agent is exposed to an external disturbance additive to its control input. Based on the optimization theory, the consensus protocol gains are designed in order to attenuate the effects of the external disturbances on the performance of the multiagent system. The main problem of existing high-order consensus protocols in the literature is the dependency of the design on the information of coupling matrices associated with networks topologies. Despite existing high-order consensus protocols in the literature, the proposed consensus protocol can be designed in a fully decentralized manner based on no global information. The main idea of the design is to propose an control formulation in which the coupling information of the agents is considered as exogenous signals, while the coupling effects of these signals lead to achieving consensus in the multiagent system. Numerical examples verify the effectiveness of the proposed consensus protocol. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: This paper proposes modified static anti-windup techniques for saturated systems with sector-bounded and slope-restricted nonlinearities by augmenting the pre-designed controller with the so-called differential compensator to process the slope restriction. By using a purely quadratic Lyapunov function and with a modified sector condition dealing with actuator saturation, LMI-based synthesis conditions are presented to address the problems of the estimates of the region of attraction and performance analysis of the closed-loop system. Numerical examples illustrate the effectiveness of the proposed approaches. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: An observer-based output feedback predictive control approach is proposed for linear parameter varying systems with norm-bounded external disturbances. Sufficient and necessary robust positively invariant set conditions of the state estimation error are developed to determine the minimal ellipsoidal robust positively invariant set and observer gain through offline computation. The quadratic upper bound of state estimation error is updated and included in an -type cost function of predictive control to optimize transient output feedback control performance. Recursive feasibility of the dynamic convex optimization problem is guaranteed in the proposed predictive control strategy. With the input-to-state stable observer, the closed-loop control system states are steered into a bounded set. Simulation results are given to demonstrate the effectiveness of the proposed control strategy. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: This paper investigates the problem of delay-dependent robust stochastic stabilization and H∞ control for uncertain stochastic nonlinear systems with time-varying delay. System uncertainties are assumed to be norm bounded. Firstly, by using novel method to deal with the integral terms, robustly stochastic stabilization results are obtained for stochastic uncertain systems with nonlinear perturbation, and an appropriate memoryless state feedback controller can be chosen. Compared with previous results, the new technique can sufficiently utilize more negative items information. Then, robust H∞ control for uncertain stochastic system with time-varying delay and nonlinear perturbation is considered, and the controller is designed, which will guarantee that closed-loop system is robustly stochastically stable with disturbance attenuation level. Finally, two numerical examples are listed to illustrate that our results are effective and less conservative than other reports in previous literature. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control

  • No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: In this paper, we investigate the H∞ control problem for uncertain switched nonlinear systems with passive and non-passive subsystems. For any given average dwell time, any given passivity rate and any given disturbance attenuation level, we design feedback controllers of subsystems, which may depend on the pre-given constants, to solve the H∞ control problem for the uncertain switched nonlinear systems for all admissible uncertainties. For linear systems, the exponential small-time norm-observability is shown to be preserved under disturbance. Two examples are provided to demonstrate the effectiveness of the proposed design method. Copyright
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: This paper presents the results of formation keeping control of a group of nonholonomic wheeled robots within the port-Hamiltonian framework and in the presence of matched input disturbances. Two scenarios on the internal damping of the dynamics of the robots are considered: strictly output passive and loss less robots. For strictly output passive robots, the distributed formation keeping controllers drive the robots towards a desired formation, while internal-model-based controllers locally compensate the harmonic input disturbance for each of the robots. Moreover, the effect of constant input disturbances is studied considering internal-model-based controllers. For lossless robots, results on formation keeping control are presented. Simulation results illustrate the effectiveness of the approach.
    No preview · Article · Jan 2016 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: This paper presents robust switching control strategies for switched nonlinear systems with constraints on the control inputs. A quantization technique is used to relax the constraint on continuous control inputs and the L2-gain analysis and H∞ control design problem for switched nonlinear systems are presented. Next, as an alternative method, the switched nonlinear system is approximated by a switched affine system that has autonomous and controlled switching behavior. A robust switching control law is proposed to stabilize the switched affine system. The design procedure involves solving an optimization problem that is nonconvex in a single scalar variable only. Furthermore, we provide the sufficient conditions under which the proposed switching law is able to stabilize the original switched nonlinear system. Finally, the proposed methods are utilized for control of urban traffic networks modeled on a high level. The traffic control objective is translated into a stability and disturbance attenuation problem for the urban network represented by a switched nonlinear system. The switching control approaches are able to reduce congestion in the network and to attenuate the effects of uncertain trip demands. Because the design of the switching laws is performed offline, real-time traffic control is possible with the proposed methods. Copyright
    No preview · Article · Dec 2015 · International Journal of Robust and Nonlinear Control
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    ABSTRACT: Successful implementation of many control strategies is mainly based on accurate knowledge of the system and its parameters. Besides the stochastic nature of the systems, nonlinearity is one more feature that may be found in almost all physical systems. The application of extended Kalman filter for the joint state and parameter estimation of stochastic nonlinear systems is well known and widely spread. It is a known fact that in measurements, there are inconsistent observations with the largest part of population of observations (outliers). The presence of outliers can significantly reduce the efficiency of linear estimation algorithms derived on the assumptions that observations have Gaussian distributions. Hence, synthesis of robust algorithms is very important. Because of increased practical value in robust filtering as well as the rate of convergence, the modified extended Masreliez–Martin filter presents the natural frame for realization of the joint state and parameter estimator of nonlinear stochastic systems. The strong consistency is proved using the methodology of an associated ODE system. The behaviour of the new approach to joint estimation of states and unknown parameters of nonlinear systems in the case when measurements have non-Gaussian distributions is illustrated by intensive simulations.
    No preview · Article · Nov 2015 · International Journal of Robust and Nonlinear Control