How can I improve my stability because I can t concentrate on one thing

If there are too many things, I feel that there are many things, but when I want to calm down and deal with one thing at a time, I feel that it is very difficult and I cannot concentrate on the experience. A little self-regulation can be adapted:

1. Start with the easiest things to do and solve them in the shortest time!

2. Clean up your desktop, put things in order, spend a few minutes, sit in front of a neat writing desk, and think!

3. Find a quiet place to stay by yourself for a while, turn off your phone, and hint to yourself: now I can't do anything but concentrate on what I'm doing! It has to be done

The above is a personal experience, the key is self-regulation, just stick to it for a while.

Force yourself

And hint at yourself.

It is recommended that you cut a piece of paper into 50 pieces of the same size, and write the numbers from 1 to 50 on each piece in turn. To practice, place these small pieces of paper on the table and shuffle them in order, counting from 1 to 50 once a day. It works.

I don't understand the specific point of what is said.

It's really important to clean up your desktop.

I used to worry about this problem until one day, I realized that I didn't necessarily lack much stability compared to others, but I just didn't believe that I had stability.

You can try the meditation of ancient yoga and the meditation of Buddhism, and you can find your own unstable and impetuous mind.

You don't have stress It's okay to have stress.

(1) Increasing the open-loop gain can reduce the steady-state error.

2) Improving the type of the system can reduce the steady-state error.

However, too much open-loop gain or too high a system type will reduce the stability of the system.

Stability is dynamic performance, steady-state error is steady-state performance, the best example is that increasing the open-loop transfer function of the system can reduce the steady-state error, but the stability of the system becomes bad or even unstable, which is not a concept.

Stability is a mathematical or engineering term used to determine whether a system produces finite outputs with finite inputs. If so, the system is said to be stable; If not, the system is said to be unstable.

Stability refers to "the ability of a measuring instrument to maintain its metrological properties constant over time" (bars). In general, stability refers to the ability of a measuring instrument to have its metrological characteristics not change over time. If stability is not for time, but for other quantities, it should be clearly stated.

Stability can be quantitatively characterized, mainly to determine the relationship between metrological properties and changes over time. In general, it can be quantitatively expressed in terms of the time it takes for the metrological characteristics to change to a given quantity, or in terms of the amount of time that occurs when the metrological characteristics change over a specified time.

For example, for standard batteries, there are clear requirements for their long-term stability (annual change in electromotive force) and short-term stability (change in electromotive force in 3 5 days); For example, the stability of the size of the gauge block is assessed by the maximum allowable change (micron years) of its specified length per year, and the above-mentioned stability indicators are an important basis for dividing the accuracy grade.

For measuring instruments, especially benchmarks, measurement standards or some physical measuring tools, stability is one of the important measurement properties, and the stability of the indication value is the basis for ensuring the accuracy of the measurement value. There are many factors that cause instability in measuring instruments, mainly due to the aging of components, the wear and tear of parts, and the use, storage, and maintenance work is not careful. The periodic verification or calibration of a measuring instrument is a test of its stability.

Stability is also one of the important bases for scientifically and reasonably determining the verification cycle.