Dear Colleagues,

Intelligent mechatronic systems (IMS), such as intelligent vehicles/robots/transportation systems, are generally complex due to the integration of artificial intelligence and multidisciplinary features taken from mechanical engineering, electrical engineering, and control engineering. This integrated complexity leads to challenges in reliability modeling and reliability testing due to different and complex failure modes. To achieve reliability requirements, reliability design and resilient control are critical for the development of IMS. Given the advances in information and network techniques, it is then opportunistic to exploit them for the benefit of reliability design and resilient control.

The main focus of this Special Issue will be on the new techniques in reliability modeling, reliability analysis, reliability design, fault and failure detection, signal processing, and resilient control of IMS. This Special Issue provides a platform to share the most recent developments in the fields of reliability design and resilient control. Solicited papers must bring new ideas and approaches, clearly indicating the advances made through problem statements and methodologies with applications to modern complex systems.

Following the conference IFAC WC2020, the 21st IFAC World Congress, held in Berlin, Germany, on 12–17 July 2019, the authors of papers presented on the above topics at IFAC WC2020 are now invited to submit the extended versions to this Special Issue. Submitted papers should be extended to the size of regular research or review articles, and represent an at least a 50% extension in new results.

Topics of interest include but are not limited to the following:

• Advanced reliability modeling and identification;
• Robust control and filtering issues in IMS;
• Failure analysis and prediction methods;
• Fault diagnosis and fault tolerant control of IMS;
• Risk analysis and management;
• Architectural framework of reliability design;
• Non-fragile and resilient control design;
• Recent developments on model based and data-driven techniques in IMS;
• Soft computing methods for fault detection and isolation (FDI) of IMS;
• Application studies;

Manuscript Submission Information

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