Los sistemas de control son agrupados en tres tipos básicos: Hechos por el hombre, naturales, o mixtos..

Man made

Electrical, electronic, pneumatic or mechanical systems that capture signals of the state of the system and coordinate one or more responses, depending on their control loop. Upon detecting a deviation from the pre-established parameters of the normal operation of the system, they act through sensors and actuators to bring the system back to its normal operating conditions. A clear example of this is a thermostat, which consecutively captures temperature signals: When the temperature goes out of range by rising or falling, it acts by turning on a cooling or heating system.

Natural

They include biological systems as components of the control system: The senses (measurements), the muscles (drives), and the brain in its frontal lobe (controller). For example, human body movements such as the act of pointing to an object, walking or speaking.

The brain itself is a complete control system:

Where the brain is the hardware and the mind is the software of the system.

Mixed

Components are man-made and the others are natural. The control system of a man driving his vehicle is found. This system is made up of the driver and the vehicle, which becomes an extension of their muscular actions.

The destination that the driver has is the reference of the system, it is the parameter that his mind takes, and with his brain he will make the calculations, process the signals from his senses and the muscular actions necessary to reach his destination.

Another example could be the decisions that a politician makes before an election. This system is made up of your brain, senses, muscles, and your entire mind. The exit is manifested in the promises that the politician announces, the degree of acceptance of the proposal by the population, it is the feedback of the system that will adjust its next actions in search of its objective or reference.

Predictive control by model

They are control systems that work with a predictive system, and not an active one like the traditional one (they execute the solution to the problem before it begins to affect the process). In this way, they improve the efficiency of the process by quickly counteracting the effects. These can be control systems:

The problems considered in control systems engineering are basically treated through two fundamental steps:

That analysis investigates the characteristics of an existing system. While in the design, the components are chosen to create a control system that subsequently executes a particular task.

There are two design methods:

The representation of problems in control systems is carried out through three basic representations or models:

Block diagrams and flow charts are graphic representations that aim to shorten the corrective process of the system, regardless of whether it is characterized schematically or through mathematical equations.

Differential equations and other mathematical relationships are used when detailed relationships of the system are required. Each control system can be represented theoretically by its mathematical equations. The use of mathematical operations is evident in all controllers of the type: Proportional Controller (P), Proportional Controller, Integral (PI)") and Proportional, Integral and Derivative Controller (PID),[2]​ which, due to the combination and superposition of mathematical calculations, helps control circuits, assemblies and industrial systems, in order to help in their improvement.

Los sistemas de control son agrupados en tres tipos básicos: Hechos por el hombre, naturales, o mixtos..

Man made

Electrical, electronic, pneumatic or mechanical systems that capture signals of the state of the system and coordinate one or more responses, depending on their control loop. Upon detecting a deviation from the pre-established parameters of the normal operation of the system, they act through sensors and actuators to bring the system back to its normal operating conditions. A clear example of this is a thermostat, which consecutively captures temperature signals: When the temperature goes out of range by rising or falling, it acts by turning on a cooling or heating system.

Natural

They include biological systems as components of the control system: The senses (measurements), the muscles (drives), and the brain in its frontal lobe (controller). For example, human body movements such as the act of pointing to an object, walking or speaking.

The brain itself is a complete control system:

Where the brain is the hardware and the mind is the software of the system.

Mixed

Components are man-made and the others are natural. The control system of a man driving his vehicle is found. This system is made up of the driver and the vehicle, which becomes an extension of their muscular actions.

The destination that the driver has is the reference of the system, it is the parameter that his mind takes, and with his brain he will make the calculations, process the signals from his senses and the muscular actions necessary to reach his destination.

Another example could be the decisions that a politician makes before an election. This system is made up of your brain, senses, muscles, and your entire mind. The exit is manifested in the promises that the politician announces, the degree of acceptance of the proposal by the population, it is the feedback of the system that will adjust its next actions in search of its objective or reference.

Predictive control by model

They are control systems that work with a predictive system, and not an active one like the traditional one (they execute the solution to the problem before it begins to affect the process). In this way, they improve the efficiency of the process by quickly counteracting the effects. These can be control systems:

The problems considered in control systems engineering are basically treated through two fundamental steps:

That analysis investigates the characteristics of an existing system. While in the design, the components are chosen to create a control system that subsequently executes a particular task.

There are two design methods:

The representation of problems in control systems is carried out through three basic representations or models:

Block diagrams and flow charts are graphic representations that aim to shorten the corrective process of the system, regardless of whether it is characterized schematically or through mathematical equations.

Differential equations and other mathematical relationships are used when detailed relationships of the system are required. Each control system can be represented theoretically by its mathematical equations. The use of mathematical operations is evident in all controllers of the type: Proportional Controller (P), Proportional Controller, Integral (PI)") and Proportional, Integral and Derivative Controller (PID),[2]​ which, due to the combination and superposition of mathematical calculations, helps control circuits, assemblies and industrial systems, in order to help in their improvement.