2. In addition to the mathematical foundation, you should also have the ability to deal with relevant professional knowledge. For example, to build a physical model of an actual system, you need to have a good understanding of circuits (mainly analog circuits), college physics and mechanical principles. At the same time, you need to have certain mathematical modeling ability. 3. Because the course is full of mathematics, don't treat the principle of automatic control as mathematics, which will make you more confused and even doubt the scientific nature of control theory. Because as a mathematics course, you only know the operation of some equations and the drawing of graphs, and you can't understand why the actual system follows the laws described by the control theory (for example, the water level can be accurately controlled), which will make you feel that it is entirely the role of mathematics, ignoring the basic idea of automatic control and the fact that these mathematical equations are dominated by physical laws. Many students who used to be very good at mathematics failed to learn control theory well, and they all made the ideological mistake of treating the course of automatic control theory as a math class. I went in the wrong direction from the beginning. Do you think you are learning well? 4. It is most important to learn the principle of automatic control and master the basic control ideas (different from mathematics and physics). The automatic control principle of university science mainly involves classical control theory, so its most fundamental control idea is negative feedback, and many stability theories are based on this idea. Therefore, although mathematics is very important, it is only a powerful tool of automatic control theory. 5. Cherish every opportunity to do exercises. There are not many topics, but they are precise. Generally, you have to master the exercises at the back of each chapter in the book (it doesn't matter if you don't know it the first time, the key is to understand it), and you have reached the basic level of mastery. 6. Do the experiment carefully. Think for yourself in every experiment, and don't follow the steps in the experiment manual mechanically. For example, in a circuit control system composed of multipole operational amplifiers, it is necessary to think about why the controlled variable (such as voltage) is unstable or the control accuracy is reduced by changing some parameters (such as capacitance). We should also think about why the teacher asked us to do control system experiments with circuits, because different physical systems (such as mechanical systems) all have the same differential equations, so they are all the same system in the abstract (such as the simple pendulum of a small pendulum using a spring vibrator to make the vibration equations of two different systems follow the equation D 2Y/DX 2 =-CX), and the circuit system is the most important compared with other physical systems. Establish confidence in learning the principle of automatic control. You should be proud to be exposed to the revolutionary famous theories and ideas in human history, especially in 19 and the 20th century. Famous revolutionary theories in the 20th century: evolution, capital, relativity, quantum theory, information theory, cybernetics and system theory. People who study liberal arts will say: We have studied Marx's classic Das Kapital. Do you know the classics? At this time, you can also refute without hesitation: cybernetics, the most advanced scientific thought, and one of the three pillars of modern technology science, has never been seen before? The three pillars of modern technical science are information theory, cybernetics and system theory. Reading popular science books about cybernetics will improve your scientific literacy, especially reading the story of Weiner, the founder of cybernetics.