Since the sliding mode control (SMC) was invented in the beginning of the 1950s, the approaches to SMC algorithms and sliding mode estimation problems have been fully developed. SMC has developed into a general design method being examined for a wide spectrum of systems including nonlinear systems, uncertain systems, stochastic systems, and large-scale and infinite-dimensional systems. In spite of the extensive and successful development of SMC approaches and techniques, their capability to handle complex systems, high-order systems, singularly perturbed systems, real-life implementations, and chatter-free problems needs to be further strengthened. Meanwhile, newly developed mathematical tools and technologies have also opened up various possibilities for the advances in SMC.

The aim of this special issue is to highlight the latest theoretical and technological developments in sliding mode control and its applications. This special issue will focus on novel, advanced, and nontraditional methods in theoretical background or practical design, especially original ideas and new approaches clearly indicating the advances made in problem formulation, methodology, or application with respect to the existing results. Papers presenting newly emerging fields are especially welcome.

Potential topics include, but are not limited to:

• High-order sliding mode control
• Sliding mode estimation
• Sliding mode methods for fault detection and fault tolerant control
• Sliding mode control of uncertain or hybrid systems
• Sliding mode control of stochastic systems
• Sliding mode control of singular systems
• Neural network-related sliding mode control approaches
• Chattering-free sliding mode control
• Sliding mode control in industrial processes
• Mathematical approaches/tools in sliding mode control