Harnessing AI for Control Engineering

In the field of control engineering the integration of artificial intelligence (AI) has opened new avenues for innovation and efficiency. By leveraging machine learning neural networks and advanced optimization algorithms AI can enhance system performance improve decision-making and enable real-time adaptive control. These technologies empower engineers to design more robust efficient and autonomous systems that can respond to complex dynamic environments with precision. Further research of AI and control engineering may address challenges of traditional methods and pave the way for smarter more sustainable industrial processes. Harnessing AI for Control Engineering delves into the transformative integration of artificial intelligence (AI) within the domain of control engineering. It navigates the landscape of AI applications from classical control methods to cutting-edge machine learning algorithms and nature-inspired optimization techniques. This book covers topics such as civil engineering fault detection and diagnosis and robotics and is a useful resource for engineers business owners academicians researchers and scientists.