What is the difference between optimal control, adaptive control and intelligent control?

Optimal control is the core of modern control theory, and its main problem is to seek the optimal control strategy to make the performance index take the maximum or minimum value under certain constraints.

Adaptivecontrol is a kind of control that automatically changes or affects control parameters to improve the performance of control system. The research object of adaptive control is a system with certain uncertainty. The so-called "uncertainty" here means that the mathematical model describing the controlled object and its environment is not completely determined, which contains some unknown factors and random factors.

Intelligentcontrol is an automatic control technology, which can drive intelligent machines to achieve control objectives without human intervention. The development of control system to intelligent control system has become a trend.

The research object of intelligent control has the following characteristics:

The research object of uncertain model and intelligent control usually has serious uncertainty. The model uncertainty mentioned here contains two meanings: first, the model is unknown or little known; Second, the structure and parameters of the model may change in a large range.

Highly nonlinear, for highly nonlinear control objects, intelligent control methods can often solve the control problems of nonlinear systems.

Extended data

Intelligentcontrols is an automatic control technology, which can 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.