Advantages and disadvantages of intelligent control and traditional control

Intelligent control (intelligent? Controls) is an automatic control technology, which can independently drive intelligent machines to achieve control objectives without human intervention. ? The development of control theory has a history of 100 years. It has gone through the stages of "classical control theory" and "modern control theory" and entered the stages of "large-scale system theory" and "intelligent control theory". The research and application of intelligent control theory is the extension of modern control theory in depth and breadth. Since the 1980s, the rapid development of information technology, computing technology and the development and mutual penetration of other related disciplines have also promoted the deepening of control science and engineering research, and it has become a trend for control systems to develop into intelligent control systems.

A branch of automatic control theory based on frequency response method and root locus method. The research object of classical control theory is single-input single-output automatic control system, especially linear time-invariant system. The characteristic of classical control theory is that the input-output characteristics (mainly transfer function) are taken as the mathematical model of the system, and the system performance is analyzed and the control device is designed by using graphic analysis methods such as frequency response method and root locus method. The mathematical basis of classical control theory is Laplace transform, and the dominant analysis and synthesis method is frequency domain method.

Control theory based on state space method is an important part of automatic control theory. In modern control theory, the analysis and design of control system is mainly carried out by describing the state variables of the system, and the basic method is time domain method. Modern control theory can deal with a wider range of control problems than classical control theory, including linear and nonlinear systems, steady-state and time-varying systems, univariate systems and multivariable systems. Its method and algorithm are also more suitable for digital computers. Modern control theory also makes it possible to design and construct an optimal control system with specific performance indicators.