Control Engineering Sciences division

Broadly speaking, the science of engineering controls can be divided into five areas, namely: Classical control, Optimal control, Robust Control, Nonlinear control, andIntelligent Control.

1. Classical control: Learn about the controller Proportional-Integral-Derivative (PID) which has been developed since the 1940s. At this time there are many types of PID controllers used in industrial processes such as chemical industry, the commercial aircraft industry, and others.
2. Optimal control: Optimal control was developed in the 1960s that consists of several topics of discussion such as Linear Quadratic Regulator (LQR), Kalman filter, control. The goal of optimal control to improve system performance optimally. Fields of this control have been used in NASA Apollo project. Lately in the field of optimal control researchers more use of new methods such as the Genetic Algorithm (GA),Particle-Swarm Optimization (PSO), and others.
3. Robust control: In this field we can learn about the control that was developed around the years 1980-1990. This type of control is used to overcome such a system has inherent uncertainties (uncertainties) and vulnerable to interference (disturbance).Robust control is widely used in military systems that require sebuag system has a high degree of accuracy and robustness against interference. 
4. Nonlinear control: Now a topic that is frequently discussed by the researchers. This field was developed to address a system that has the properties of nonlinear order memiligi good performance. Nonlinear control is widely used in military systems such as fighter aircraft and the missile technology.
5. Intelligent control: Knowledge-base consists of the control, adaptive control, neural, fuzzy models, and others. The field is developed around the 1990s, used to solve the problems on a system without the need to know the model of the system such as the economic system, social system, and others.

Of the five fields mentioned in the application we can combine the field and the other one to handle a system. For example the field of Intelligent control and classical control, where we can make algoritman PID of fuzzy theory that we often hear the term fuzzy like PI orfuzzy like PD. Another example of the use of robust control in Intelligent control such as the use of robust control to the neural network, which can be used to strengthen(robustness) hidden layer and output layer of the neural network.

Source: Materials college discrete control Mr. Ben M Chen