Adaptive Internal Model Control

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This book explores the principles of adaptive internal model control, a sophisticated approach that enhances the performance of control systems by adjusting to changing conditions. It delves into the mathematical foundations and practical applications, providing insights into how internal models can be utilized to predict system behavior and improve stability. Key features include detailed algorithms, case studies, and examples that illustrate the effectiveness of adaptive control strategies in various engineering fields. The content is geared towards both researchers and practitioners seeking to advance their understanding of control systems.