IFAC -Affiliated Journal The International Journal of Robust and Nonlinear Control aims to encourage the development of analysis and design techniques for uncertain linear and nonlinear systems. Papers will be particularly welcome that demonstrate the potential for nonlinear or robust controllers in applications through either design studies or real applications experience. The physical modelling, simulation and identification of systems that may be uncertain, or include significant nonlinearities, is of interest. Suitable topics include the use of hybrid or LPV models, multivariable systems and the simplification of models for control design. Papers on the control of large scale or distributed parameter systems are welcome, particularly concentrating on robustness and/or nonlinear issues. Papers are also welcome in the area of feedback design for asymptotic model following and, in general, for coordinated control of multi-agent systems, including consensus and synchronization. The main focus of the journal is on the theory and design of regulating and tracking control systems, but related areas such as linear and nonlinear filtering, condition monitoring and fault estimation are included. The Journal provides a natural forum for papers on the theory and application of robust control design and estimation techniques, including H∞ or H2 design, multi-objective optimization and variable structure, or sliding mode control design methods. Papers will also be welcome on methods of improving the robustness of uncertain, or parameter varying systems, using QFT design methods. Papers on linear model based predictive control and algorithms for constrained optimization are encouraged. All aspects of the theory and techniques used in nonlinear control and estimation are also included ranging from gain scheduling to nonlinear predictive control. The development of nonlinear compensation and design methods, such as those using feedback linearization, adaptive back-stepping, exploitation and/or re-design of zero dynamics, Lyapunov based techniques, nonlinear H∞ design and iterative learning control, are all of interest. Contributions on numerical algorithms for robust control, using for example linear matrix inequalities, and the problems of real time implementation are also included. Cooperative control, agent based systems, controller tuning and problems of implementation are covered. Modelling and control techniques using neural networks will also be considered. Model based design approaches are encouraged rather than heuristic or rule based design methods, such as fuzzy control. Read Less

IFAC -Affiliated Journal The International Journal of Robust and Nonlinear Control aims to encourage the development of analysis and design techniques for uncertain linear and nonlinear systems. Papers will be particularly welcome that demonstrate the potential for nonlinear o...... Read More