Nonlinear System Modeling and Fault Diagnosis: An AI-Based Perspective offers a cutting-edge exploration of how artificial intelligence is transforming the way engineers and researchers understand, predict, and troubleshoot complex nonlinear systems. Blending theoretical foundations with practical applications, this work covers advanced modeling techniques, intelligent fault detection algorithms, and real-world case studies across industrial domains. Whether for academic study or professional implementation, it delivers the tools and insights needed to harness AI for robust, adaptive, and accurate system health monitoring in the face of uncertainty.
