Advanced Fault-Tolerant Control Techniques for Complex Industrial Processes

Dear Colleagues,

With the rapid development of computer technique, electronics, and information technology, modern industrial processes are generally becoming more and more complex. For such processes, the safety and reliability issues are of significant importance, since fault or failure may result in disastrous consequences and hazards for personnel, plant, and environment, particularly when the systems are embedded in safety-relevant plants like networks, robots, or power plants. As a consequence, fault-tolerant control (FTC) techniques have received considerable attention both in industry and academia over the past several decades. However, the capabilities of the traditional FTC methods are significantly degraded when the faults are encountered in highly complex industrial processes. This motivates the development of more advanced FTC methodologies to provide effectual actions for process recovery and life-circle management. So far, there are many complex and challenging issues in the FTC techniques, such as data-driven performance recovery methodologies, advanced model-based FTC techniques, as well as machine-learning-aided FTC techniques and their application in complex industrial processes and safety-relevant processes.

This Special Issue will focus on advanced process recovery and fault-tolerant control methodologies for complex industrial systems, especially process monitoring and fault-tolerant control techniques and machine-learning-related schemes, with their industrial applications. The Guest Editors invite original manuscripts presenting recent advances in these fields, with special reference to the following topics:

• Data-driven performance monitoring and recovery techniques.
• Machine-learning-based performance optimization and FTC techniques.
• New FTC techniques for highly nonlinear systems.
• Advanced model-based FTC techniques for complex industrial processes.
• Intelligent FTC techniques for safe-critical systems.
• Event-triggered FTC techniques.
• Real-time implementation and industrial applications.

Prof. Dr. Kaixiang Peng
Prof. Dr. Ying Yang
Dr. Linlin Li
Guest Editors

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