What does control theory consist of? How should I learn? It would be nice to recommend a few books.

Control theory is an instrumental discipline that has the study of the types of modifications and the types of applications. From an applied point of view, this discipline can be combined with almost all fields of engineering. From a theoretical point of view, much of the research involves esoteric mathematical theories.

The first is not to take the whole control theory as your learning goal, but to learn the control theory of the specific problem you want to solve.

Secondly, according to the history of the development of control theory, from the classics to the modern day, read classic books, or paper. Don't read a lot of recent **, don't pursue more than what you see, and ask for fine.

1. Wiener's Cybernetics

Norbert Wiener.

Noebert Wiener (1894-1964) was one of the greatest mathematicians of the 20th century, information theory.

The precursor and the founder of cybernetics. The author is known as a child prodigy, having received Harvard University at the age of 18.

Ph.D. degree. <>

2. Qian Xuesen, Engineering Cybernetics

It is very rich in content, covering basically all aspects of control theory.

Control theory and applications are not a very separate discipline, it has a strong intersection with mechanics, mathematics, electromechanics, and even biology. However, it is also a subject that is closely related to the real world and engineering, and is a simple lens through which people think and explore nature.

<>If you plan to study control theory(That is.) You may need a lot of time and effort (from an undergraduate to a PhD). The peculiarity of control theory is that when you start to learn a certain level of knowledge, you will feel that "it is all over the world", and although it is difficult to understand, as long as you understand it, you can solve all the problems in the world.

Once you've learned about linear systems and controls (state-space expressions), you'll find transfer functions simple.

After learning about nonlinear systems and controls, including adaptive control, etc., you will find that linear systems are simple.

After studying hybrid systems, you will find that continuous nonlinear systems are simple and synovial control is simple.

In a recent geometry studyand, to be honest, made me grow a lot, because what I learned in the future was the most unlikely. But the reason I'm going to take this course is that after I've listened to it, the controllability of linear systems is much easier.

I think if you look at a system with a delayed system or a partial differential equation, you'll find that all the problems that you can express in ordinary differential equations are very simple. If you look at stochastic systems, you will see that all deterministic systems are simple.

For discrete systems, there is no particular distinction between continuous systems. Linear discrete systems are very similar to linear continuous systems, and nonlinear discrete systems are very similar to nonlinear continuous systems.

AbsolutelyThere is something special about offline systems in the control method, but if you talk about learning, the most important and important part of understanding is the same, from continuous to discrete, very simple.

There are three approaches to classical control theory:

1. Linear control theory.

2. Sampling control theory.

3. Nonlinear control theory (see Nonlinear System Theory).

Classical control theory is a branch of automatic control theory based on the frequency response method and the root trajectory method. The research object of classical control theory is the automatic control system with single input and single output, especially the linear stationary system. The characteristics of classical control theory are to use the input-output characteristics (mainly transfer function) as the mathematical model of the system, and use the frequency response method and the root trajectory method to analyze the system performance and design the control device.

The mathematical basis of classical control theory is the Laplace transform, and the dominant analysis and synthesis method is the frequency domain method.

No, you have to have, or you need to write, preferably a doctor**, another discovery of control.

The main basic courses are: control theory (including classical control theory and modern control theory), circuits and digital circuits, analog circuits, control motors, etc.

Control theory is to describe the theoretical research results with new concepts and new ideas in system control science and their application research results in various fields, especially in the high-tech field, but there is a serious disconnect in the civilian field, that is, in practical life.

The progress of aircraft control technology is closely related to the development of automatic control theory. Control theory has been widely used in aircraft control technology, and many important results have been achieved.

Circuit: A conductive circuit composed of metal wires and electrical and electronic components, called an electrical circuit. Add a power supply to the input of the circuit to generate a potential difference at the input end, and the circuit can work.

Some phenomena can be seen intuitively, such as voltmeter or ammeter deflection, light bulb light, etc.; Some may require a measuring instrument to know if it is working properly. According to the nature of the current flowing, there are generally two types. The circuit through which direct current passes is called a "DC circuit", and the circuit through which alternating current passes is called an "alternating current circuit".

A circuit that uses digital signals to perform arithmetic and logical operations on digital quantities is called a digital circuit, or digital system. Because it has logic operation and logic processing functions, it is also called a digital logic circuit. Modern digital circuits are constructed from several digitally integrated devices made in semiconductor processes.

A logic gate is the basic unit of a digital logic circuit. Memory is a digital circuit used to store binary data. On the whole, digital circuits can be divided into two categories: combinatorial logic circuits and sequential logic circuits.

The Control Motor is divided into five chapters, including servo motors, tachogenerators, self-leveling machines, resolvers, and stepper motors. An appendix is attached to the book that describes some of the measurement methods related to the characteristics and accuracy of the control motor. The part of the book marked with * can be used as an optional content.

Compared with the original trial textbook "Control Motor", the content of each chapter has been appropriately adjusted, and the big change is that the third chapter has deleted the DQ0 coordinate system transformation from the cornering machine; Chapter 5 has enriched the content of stepper motors, and other small-capacity synchronous motors have been partially merged into the "Small Power Motors" course.

After looking at a few other answers, I decided to add a few more. Since we think that everyone's understanding of "control theory" is not the same, the angle of the answers is also different. I thought it needed to be clarified.

Now that we've talked about control theory, I'm going to assume that you're not just going to get to know PID. As far as application is concerned, learning PID does not require any background in control theory. Anyone who spends a little time can figure out how to use the PID.

However, if you are planning a system to study control theory (mathematics), it will probably take a lot of time and energy (probably, from the senior undergraduate to the doctorate). The characteristic of control theory is that when you start to learn a certain level of knowledge, you will think that "this is the whole world", although it is difficult to understand, but as long as you understand it, you can solve all the problems in the whole world. Learn to pass the test in a daze and invent after entering the next level.,The question of the upper level is really tm rough.,And,Too tm range.。

For example, I've been studying geometric theory lately, and to be honest, it's something I've learned since I've grown up and "I'm unlikely to use it in the future". But the reason for listening to this lecture is that after listening to it, I thought that the controllability of the linear system was much more observable.

As for the separation system, it is really not very different from the continuous system. The linear separation system is very similar to the linear continuous system, and the nonlinear separation system is very similar to the nonlinear continuous system. Although there are some differences in the offline system in terms of control essentials, if you talk about learning, the most critical and necessary parts to understand are the same, and it is easy to expand from continuous to separation.

Optimal control is probably a separate piece, but if you want to interface it with other control theories, you can do it, but it's not usually necessary. Model control is coherent with optimal control. However, if you want to learn the theory of model control, you must first understand linear and nonlinear systems.

In the end, again, if you're just planning to apply, you're 95% likely not to have to learn any control theory. It's enough to figure out the pid.

Sorry, I don't know what to do, most of them are understood by listening to lectures.