In everyday life, the term adaptive refers to a characteristic of organisms that can change their habits to adapt to a new

environment. Intuitively, therefore, an adaptive controller should be a controller that can modify its own characteristics to

adapt to changes in the dynamic properties of objects and disturbances.

The object of adaptive control is a system with a certain degree of uncertainty, where "uncertainty" means that the mathe-

matical model describing the controlled object and its environment is not completely deterministic and contains some un-

known and random factors.

Any real system has varying degrees of uncertainty, sometimes within the system, sometimes outside the system. Internally,

the structure and parameters of the mathematical model describing the controlled object are not always known accurately

in advance by the designer. As an external environment the influence on the system can be equivalently represented by a

number of perturbations. These perturbations are usually unpredictable. In addition, there are uncertainties arising from

measurements that enter the system. In the face of these various objective uncertainties, the problem of how to design an

appropriate control action so that a given performance indicator is and remains optimal or approximately optimal is the

problem that adaptive control is designed to solve.

Adaptive control, like conventional feedback control and optimal control, is also a mathematical model-based control

method,except that adaptive control is based on less a priori knowledge of the model and disturbances, and requires

continuous extraction of information about the model during the operation of the system, so that the model is gradually

improved

Vivi (sh_plc@163.com).   

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