Special Issue on Recent Advances in Sliding Mode Control under Network Environment
• 大类 : 工程技术 - 2区
• 小类 : 自动化与控制系统 - 3区
• 小类 : 工程：综合 - 2区
• 小类 : 仪器仪表 - 2区
As one of the most famous nonlinear control strategies, sliding mode control (SMC) technique has the advantages of quick response and strong robustness. However, most SMC results are based on the implicit assumption of perfect data transmission in both the sensor-to-controller and controller-to-actuator channels. This assumption is valid for most point-to-point control structures, but unfortunately not for networked control systems (NCSs) widely used nowadays, where the control loop is closed via some form of communication networks. Compared with traditional point-to-point control systems, the main advantages of NCSs come from their low cost, their flexibility and easy reconfigurability, their natural reliability and robustness to failure, and their adaptation capability. However, the introduction of communication channels in the control loop also brings some network-induced critical issues or constraints such as variable transmission delays, data packet dropouts, packet disorder, and quantization errors, which would significantly degrade the system performance or even destabilize the system in certain conditions. These issues brought by NCSs present a great challenge to conventional SMC methods. How to develop new SMC techniques to overcome the network-induced constraints is an interesting and challenging topic, which is of both theoretical and practical significance.
The primary objective of this Special Issue is to provide a forum for researchers and practitioners to exchange their latest theoretical and technological achievements and to identify critical issues and challenges for future investigation on the sliding mode control technique under network environment. The submitted papers are expected to bring up original ideas and potential contributions for theory and practice, including electrical machines, power electronics and drives, hydraulic/pneumatic actuators, robotics, automotive industry, and vehicles. However, topics include, but are not limited to, the following research areas: