Linear Systems Control presents an intuitive and practical approach to modern control theory, emphasizing the physical modeling of systems through differential equations. Focusing on the state space representation, this comprehensive text explores how coupled sets of linear or nonlinear differential equations naturally describe many physical systems. The authors detail various modeling techniques, including both transfer function and state variable methods, making complex concepts accessible to engineering and science students alike. Building on its physical foundation, the book introduces discrete time modeling using difference equations, effectively bridging the gap between continuous systems and computer-controlled applications. Key topics such as system linearization, noise modeling, and the derivation of optimal state estimators are explained with clarity and supported by numerous examples. With its clear exposition and ample illustrations, Linear Systems Control is a valuable resource for both students and application engineers seeking to deepen their understanding of control systems.
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