This course mainly introduces classical control theory, intelligent control theory and related experiments, and contains 11 chapters in total.
Total of 38 lessons7 hours and 11 minutes and 3 seconds
There are many kinds of intelligent phenomena in nature, such as the cognitive process of the human brain, bird migration, and lions foraging. So can machines be programmed to imitate the thought processes of these animals? The answer is yes, and this technology that uses programs to simulate natural phenomena in nature to serve the control process is intelligent control technology. It mainly talks about expert control, fuzzy control, artificial neural network control, genetic algorithm, and teaches MATLAB programming and SIMULINK knowledge to realize the above knowledge.
Total of 56 lessons10 hours and 28 minutes and 53 seconds
Intelligent controls refer to automatic control technology that can autonomously drive intelligent machines to achieve control goals without human intervention. The development of control theory has a history of more than 100 years. It has gone through the development stages of "classical control theory" and "modern control theory" and has entered the stage of "large system theory" and "intelligent control theory". This video talks about neural networks, fuzzy mathematics and fuzzy control, and intelligent optimization algorithms. Humanoid intelligent control
Total of 64 lessons22 hours and 32 minutes and 42 seconds
Chapter 1: Introduction to Intelligent Control Chapter 2: Hierarchical Control System Chapter 3: Expert Control System Chapter 4: Fuzzy Control System Chapter 5: Neural Control Chapter 6: Learning Control System Chapter 7: Evolutionary Control and Immunity Control Chapter 8: Composite Intelligent Control Chapter 9: Other Intelligent Control Chapter 10: Outlook for Intelligent Control
Total of 26 lessons18 hours and 26 minutes and 3 seconds
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