Mathematical Methods and Models in Robust Nonlinear Control

Dear Colleagues,

The design of a control system should be based on the mathematical model of the controlled object but, strictly speaking, it is impossible to be completely accurate when modeling any controlled object, and there must be a degree of uncertainty. Such uncertainties include parameter uncertainty, structural uncertainty and various disturbances. These uncertainties may exist at the beginning of modeling, or may change continuously during system operation. Due to the existence of uncertainties, the designed feedback control system must be able to deal with these uncertainties, so that they will not have too great an influence on the dynamic performance of the system, which requires the control system to be robust. Therefore, robust control has become an important research topic in feedback control theory.

This Special Issue aims to encourage the development of analysis and design techniques for uncertain linear and nonlinear systems. Papers that demonstrate the potential for robust or nonlinear controllers in applications are welcome. We also welcome papers on non-optimal methods of improving the robustness of uncertain systems, such as QFT design methods. 

Dr. Vadim Zhmud
Guest Editor

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• robust control
• nonlinear control
• robustness
• uncertain systems
• nonlinear models and systems
• control design
• identification
• fault monitoring
• stability
• neural networks
• sliding mode control
• control applications