What is the difference between intelligent control and conventional control? In what situations should intelligent control strategies be used?

What is the difference between intelligent control and conventional control? In what situations should intelligent control strategies be used?

In the field of application, conventional control focuses on solving less complex process control and large system control problems; while intelligent control mainly solves highly nonlinear, uncertain and complex system control problems.

In terms of theoretical methods, conventional control theory is usually processed by quantitative methods, while intelligent control systems mostly use symbolic processing methods; conventional control usually captures precise knowledge to meet control targets, while intelligent control usually learns to accumulate non-precise knowledge. Conventional control usually describes the system with mathematical models, while intelligent control systems describe the system symbolically through experience and rules.

In terms of performance indexes, conventional control has strict performance index requirements, while intelligent control does not have uniform performance indexes, but mainly focuses on whether its purpose and behavior are achieved. However, intelligent control and traditional or conventional control have a close relationship, complement each other's strengths and weaknesses, rather than mutually exclusive.

Based on the intelligent control and conventional control in the field of application, theoretical methods and performance indicators and other aspects of the difference, conventional control is often included in the intelligent control, intelligent control is also the use of conventional control methods to solve the "low-level" control problems, and seeks to expand the conventional control methods and to establish a series of new It seeks to expand conventional control methods and establish a series of new theories and methods to solve more challenging problems.

Conventional control focuses on solving stand-alone automation, less complex process control and control of large systems; intelligent control is mainly to solve highly nonlinear, strong uncertainty and complex systems control problems. Therefore, the application is extremely wide, can be involved in all areas of natural and social sciences is the control community's current research hot spots and the future direction of development.

Definition of intelligent control

Intelligent control is the control mode with intelligent information processing, intelligent information feedback and intelligent control decision-making, is the advanced stage of the development of control theory, is mainly used to solve those complex system control problems that are difficult to solve by traditional methods.

The main characteristics of the research object of intelligent control are mathematical model with uncertainty, high degree of nonlinearity and complex task requirements. The idea of intelligent control appeared in the 1960s. At that time, the study of learning control was very active and gained better application.