1. A control method for a hydraulic drive (HA) of a technical process (TP), at least the following being taken into account for generating a manipulated variable (y) for the hydraulic drive (HA):
a) a desired value (vs) for the speed (vi) of the hydraulic drive (HA),
b) a first constant parameter (K1) which simulates the response characteristic (KV, AO) of the hydraulic drive (HA),
c) a second constant parameter (K2), which simulates the internal resistance (KD, AK, AO), opposed to the hydraulic drive (HA), of the technical process (TP), and
d) a first constant (pp) which simulates the pressure which is produced by a hydraulic pump (HP) in the hydraulic drive (HA) (equation 1)
2. The control method as claimed in claim 1, the first parameter (K1) having a second constant (AO), which simulates that cross-sectional surface of the hydraulic pistons (HK) of the hydraulic drive (HA) to which the hydraulic liquid (HF) is applied
3. The control method as claimed in one of the preceding claims, the first parameter (K1) having a third constant (KV), which simulates the response characteristic (KV, AO) of a hydraulic valve (HV) in the hydraulic drive (HA).
4. The control method as claimed in one of claims 2 and 3, the first parameter (K1) being approximately proportional to the quotient (equation 2) of the second constant (AO) and the third constant (KV).
5. The control method as claimed in one of the preceding claims, the second parameter (K2) being formed from the product (equation 3) of
a) a fourth constant (KD), which simulates the internal resistance of the technical process (TP) and,
b) a proportionality factor (P)
6. The control method as claimed in claim 5, the proportionality factor (P) having a second constant (AO), which simulates that cross-sectional surface of the hydraulic pistons (HK) of the hydraulic drive (HA) to which the hydraulic liquid (HF) is applied
7. The control method as claimed in one of claims 5 or 6, the proportionality factor (P) having a fifth constant (AK), which simulates that cross-sectional surface of hydraulic pistons (HK) of the hydraulic drive (HA) which acts on the part of the hydraulic drive (HA) leading to the technical process (TP).
8. The control method as claimed in one of claims 5 to 7, the proportionality factor (P) being approximately proportional to the quotient (equation 4) of the square of the fifth constant (AK) and the second constant (AO)
9. The control method as claimed in one of claims 1 to 4, the second parameter (K2) taking account of the quotient (equation 5) of the actual value, acting on the hydraulic pistons (HK), of the pressure (pi) of the hydraulic liquid (HF) and the actual value of the drive speed (vi) of the hydraulic piston (HK), particularly in a steady state of the hydraulic drive (HA)
10. The control method as claimed in claim 9, the second parameter (K2) being cyclically updated with reference to changes in the technical process (TP) (equation 14)
11. A plastics injection molding machine having a control circuit for carrying out the control method as claimed in one of the preceding claims
12. The use of the control method as claimed in one of the preceding claims 1 to 10 for controlling a plastics injection molding machine.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computerized method comprising:
selecting multiple predictors for a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera;
determining a sub-codebook in which each of the predictors decodes to the reference unit; and
transmitting an identifier for the sub-codebook to decode the reference unit from one of the predictors.
2. The computerized method of claim 1 further comprising:
transmitting the reference unit.
3. The computerized method of claim 1 further comprising:
receiving the identifier; and
decoding the reference unit from a correctly received predictor using the sub-codebook identified by the identifier.
4. The computerized method of claim 1, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
5. A machine-readable medium having instructions to cause a processor to execute a method comprising:
selecting multiple predictors for a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera;
determining a sub-codebook in which each of the predictors decodes to the reference unit; and
transmitting an identifier for the sub-codebook to decode the reference unit from one of the predictors.
6. The machine-readable medium of claim 5 having instructions to cause a processor to execute a method comprising, wherein the method further comprises:
receiving the identifier; and
decoding the reference unit from a correctly received predictor using the sub-codebook identified by the identifier.
7. The machine-readable medium of claim 5 having instructions to cause a processor to execute a method comprising, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
8. A machine readable medium having instructions to cause a processor to execute a method comprising:
receiving an identifier corresponding to a sub-codebook in which each of multiple predictors decodes to a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera; and
decoding the reference unit from one correctly received predictor using the sub-codebook identified by the identifier.
9. The machine-readable medium of claim 8 having instructions to cause a processor to execute a method comprising, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
10. A system comprising:
a processor coupled to a memory through a bus; and
an encoding process executed by the processor from the memory to cause the processor to select multiple predictors for a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera, determine a sub-codebook in which each of the predictors decodes to the reference unit, and transmit an identifier for the sub-codebook to decode the reference unit from one of the predictors.
11. The system of claim 10, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
12. A system comprising:
a processor coupled to a memory through a bus; and
a decoding process executed from the memory by the processor to cause the processor to receive an identifier corresponding to a sub-codebook in which each of multiple predictors decodes to a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera, and decode the reference unit from one correctly received predictor using the sub-codebook identified by the identifier.
13. The system of claim 12, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
14. An apparatus comprising:
means for selecting multiple predictors for a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera;
means for determining a sub-codebook in which each of the predictors decodes to the reference unit; and
means for transmitting an identifier for the sub-codebook to decode the reference unit from one of the predictors.
15. The apparatus of claim 14 further comprising:
means for receiving the identifier; and
means for decoding the reference unit from a correctly received predictor using the sub-codebook identified by the identifier.
16. The apparatus of claim 14, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
17. An apparatus comprising:
means for receiving an identifier corresponding to a sub-codebook in which each of multiple predictors decodes to a reference unit of correlated data, wherein the reference unit is selected from data from a camera and the predictors for the reference unit are selected from data from a neighboring camera; and
means for decoding the reference unit from one correctly received predictor using the sub-codebook identified by the identifier.
18. The apparatus of claim 17, wherein the reference unit is a frame in a video stream from a camera and the predictors for the reference unit are selected from frames in a video stream from a neighboring camera.
19. A computerized method comprising:
selecting multiple predictors for a reference unit of correlated data from descriptions in a plurality of channels that transmit the correlated data;
determining a sub-codebook in which each of the predictors decodes to the reference unit; and
transmitting an identifier for the sub-codebook to decode the reference unit from one of the predictors.
20. The computerized method of claim 19 further comprising:
estimating the predictors if no predictors are correctly received; and
decoding the reference unit from a weighted combination of the estimated predictors using the sub-codebook identified by the identifier.
21. The computerized method of claim 19, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
22. The computerized method of claim 21 further comprising:
decoding the descriptions to reconstruct the frames.
23. The computerized method of claim 22 further comprising:
combining the decoded descriptions to reconstruct the frames.
24. A machine-readable medium having instructions to cause a processor to execute a method comprising:
selecting multiple predictors for a reference unit of correlated data from descriptions in a plurality of channels that transmit the correlated data;
determining a sub-codebook in which each of the predictors decodes to the reference unit; and
transmitting an identifier for the sub-codebook to decode the reference unit from one of the predictors.
25. The machine-readable medium of claim 24, wherein the method further comprises:
estimating the predictors if no predictors are correctly received; and
decoding the reference unit from a weighted combination of the estimated predictors using the sub-codebook identified by the identifier.
26. The machine-readable medium of claim 24, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
27. The machine-readable medium of claim 26 further comprising:
decoding the descriptions to reconstruct the frames.
28. The machine-readable medium of claim 27 further comprising:
combining the decoded descriptions to reconstruct the frames.
29. A machine readable medium having instructions to cause a processor to execute a method comprising:
receiving an identifier corresponding to a sub-codebook in which each of multiple predictors decodes to a reference unit of correlated data from descriptions in a plurality of channels that transmit the correlated data; and
decoding the reference unit from one correctly received predictor using the sub-codebook identified by the identifier.
30. The machine-readable medium of claim 29 further comprising:
estimating the predictors if no predictors are correctly received; and
decoding the reference unit from a weighted combination of the estimated predictors using the sub-codebook identified by the identifier.
31. The machine-readable medium of claim 29, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
32. The machine-readable medium of claim 31 further comprising:
decoding the descriptions to reconstruct the frames.
33. The machine-readable medium of claim 32 further comprising:
combining the decoded descriptions to reconstruct the frames.
34. A system comprising:
a processor coupled to a memory through a bus; and
an encoding process executed by the processor from the memory to cause the processor to select multiple predictors for a reference unit of correlated data from descriptions in a plurality of channels that transmit the correlated data, determine a sub-codebook in which each of the predictors decodes to the reference unit, and transmit an identifier for the sub-codebook to decode the reference unit from one of the predictors.
35. The system of claim 34, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
36. A system comprising:
a processor coupled to a memory through a bus; and
a decoding process executed from the memory by the processor to cause the processor to receive an identifier corresponding to a sub-codebook in which each of multiple predictors decodes to a reference unit of correlated data from descriptions in a plurality of channels and decode the reference unit from one correctly received predictor using the sub-codebook identified by the identifier.
37. The system of claim 36 further comprising:
a decoding process executed from the memory by the processor to cause the processor to estimate the predictors if no predictors are correctly received, and decode the reference unit from a weighted combination of the estimated predictors using the sub-codebook identified by the identifier.
38. The system of claim 36, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
39. The system of claim 38 further comprising:
decoding the descriptions to reconstruct the frames.
40. The system of claim 39 further comprising:
combining the decoded descriptions to reconstruct the frames.
41. An apparatus comprising:
means for selecting multiple predictors for a reference unit of correlated data from descriptions in a plurality of channels that transmit the correlated data;
means for determining a sub-codebook in which each of the predictors decodes to the reference unit; and
means for transmitting an identifier for the sub-codebook to decode the reference unit from one of the predictors.
42. The apparatus of claim 41 further comprising:
means for estimating the predictors if no predictors are correctly received; and
means for decoding the reference unit from a weighted combination of the estimated predictors using the sub-codebook identified by the identifier.
43. The apparatus of claim 41, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
44. The apparatus of claim 43 further comprising:
means for decoding the descriptions to reconstruct the frames.
45. The apparatus of claim 44 further comprising:
means for combining the decoded descriptions to reconstruct the frames.
46. An apparatus comprising:
means for receiving an identifier corresponding to a sub-codebook in which each of multiple predictors decodes to a reference unit of correlated data from descriptions in a plurality of channels that transmit the correlated data; and
means for decoding the reference unit from one correctly received predictor using the sub-codebook identified by the identifier.
47. The apparatus of claim 46 further comprising:
means for estimating the predictors if no predictors are correctly received; and
means for decoding the reference unit from a weighted combination of the estimated predictors using the sub-codebook identified by the identifier.
48. The apparatus of claim of claim 46, wherein the reference unit is a frame in a video stream and the predictors are selected from past and future frames in the video stream.
49. The apparatus of claim of claim 48 further comprising:
means for decoding the descriptions to reconstruct the frames.
50. The apparatus of claim of claim 49 further comprising:
combining the decoded descriptions to reconstruct the frames.