Modern control theory

Author: Liu Bao et al
Publisher:
Publish Date: 2007-02-07
Features: To meet the needs of talent training in higher education in the new era, as well as the new trends and characteristics of scientific and technological development, this revised edition is based on the second version of the book, aligned with the new teaching syllabus, and tailored to the requirements of related majors in universities. It reflects the mainstream and trends of current technological advancements. The book introduces the fundamental theories of modern control systems and the main methods of control system analysis and design, covering linear control systems and optimal control. It progresses from basic to advanced concepts in an enlightening manner. The state-space method is not only the foundation of control theory but also the basis of modern network analysis and linear system theory. Students majoring in automation should be familiar with this fundamental approach. Controllability and observability are fundamental issues in state-space analysis, which are appropriately explained in this book. Lyapunov stability theory is one of the classic and recurring theories in control theory, useful for the analysis and synthesis of both linear and nonlinear systems. The book provides a basic clarification of this theory. For system synthesis, it specifically discusses state feedback and output feedback control issues, and briefly covers the observer problem. The book also introduces the three basic methods of optimal control, enabling readers to build a solid theoretical foundation while mastering the ability to analyze and design control systems. This book can serve as a textbook or teaching reference for undergraduate or graduate students in automatic control or automation majors in universities, as a teaching reference for dynamic economic system courses in economic management majors, or as a reference for engineering professionals.