Characteristics of Intelligent Control

Having both non-mathematical generalized models represented by knowledge and hybrid processes represented by mathematical models, and often also non-mathematical processes that contain complexity, incompleteness, ambiguity or uncertainty and the absence of known algorithms, and reasoning with knowledge to heuristically guide the solution process;

Intelligent control has its core at the higher level of control, the organizational level;

Intelligent controllers have nonlinear characteristics;

Intelligent control has variable structure characteristics;

Intelligent controllers have overall self-optimization characteristics;

Intelligent control systems should be able to satisfy the high-performance requirements of diversified goals;

Intelligent control is a fringe cross-discipline;

Intelligent control is an emerging research field. Structural Theory of Intelligent Control

IC=AI∩AC∩OR

IC - Intelligent Control

( Intelligent Control);

OR - Operation Research

(Operation Research)

Al-Artificial Intelligence;

AC-Automatic Control;

∩I indicates intersection.

Artificial Intelligence (AI): a knowledge processing system with functions such as memory, learning, information processing, formal language, and heuristic reasoning.

Automatic Control (AC): describes the dynamics of a system and is a dynamic feedback.

Operational Research (OR): is a quantitative optimization method, such as linear programming, network planning, scheduling, management, optimal decision-making and multi-objective optimization methods.

Structural Theory of Intelligent Control

Intelligent control is the application of the theory and technology of artificial intelligence and the optimization method of operations research, and its combination with control theory methods and techniques, in an unknown environment, imitating human intelligence, to achieve the control of the system.

It can be seen that intelligent control represents the latest process of the development of automatic control discipline. Conventional control: classical feedback control and modern theoretical control. Their main feature is based on the precise mathematical model of the system control. Suitable for solving linear, time-invariant and other relatively simple control problems.

Intelligent control (Intelligent control) the above problems can also be solved by intelligent methods. Intelligent control is the development of traditional control theory, traditional control is an integral part of intelligent control, in this sense, the two can be unified in the framework of intelligent control.