• Category:
• matlab
• Platform:
• matlab
• File Size:
• 1749KB
• Update:
• 2010-11-08
• 2
• szy268
Description: Title: modern control introductory tutorial Matlab assisted experiment This textbook has nine chapters. Chapter 1 introduces the main contents of classical cybernetics, which is the original theory and method introduced in the study of cybernetics. Chapter 2 is a description of the state space used in modern cybernetics, including continuous time and discrete time space model. Chapter 3 is system state analysis. Chapter 4 introduces two iconic contents of modern cybernetics. It is the controllability and the ability of the system state, and the judgment of controllability and the ability to view. Chapter 5 introduces the concepts and methods of system stability. Chapter 6 is based on the analysis of the first five chapters, and discusses the system comprehensive problems, such as pole configuration and equanimity, etc. Chapter 7 introduces the basic method of optimal control - minimum principle and dynamic programming method. Chapter 8 and chapter 9 give a basic introduction to the two branches of cybernetics: the state filtering and control and adaptive control of stochastic systems. -Title: Introduction to modern control experiment textbook of Matlab Chp1 introduces the main content of classical control, cybernetics is the study of this problem first introduced the found and the methods in Chp2 of the modern control and found the using state - space description, o the continuous time and discrete 'time space model Chp3 is the system state analysis Chp4 describes the modern control, the two iconic content. the state of the system controllability and observability and controllability and observability of the decision, etc. The Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is -based on the their weight.this five chapters and discusses the systems integration issues, to the as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control-minimum principle and dynamic programming Chp8 and 9, on control theory The two branches: The state of stochastic
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